This document discusses multiple-input multiple-output (MIMO) systems. It begins by outlining the motivations and aspirations for developing MIMO systems, including achieving high data rates near 1 gigabit/second while maintaining quality of service. It then provides an overview of MIMO system modeling and capacity studies. Key topics covered include diversity versus spatial multiplexing design criteria, example architectures, MIMO with orthogonal frequency-division multiplexing, and networking applications involving MAC protocols.
This document summarizes key concepts in propagation models for wireless mobile communications. It discusses free space losses, plane earth losses, and models for the wireless channel including macrocells, shadowing, narrowband fast fading, and wideband fast fading. Empirical and physical statistical models are described for modeling propagation in different environments like urban, suburban, and rural areas. Deterministic and statistical models are presented for modeling narrowband fast fading effects.
Quadrature amplitude modulation (QAM) is a modulation technique that encodes data by varying both the amplitude and phase of radio frequency carriers. It offers advantages over other modulation techniques like PSK by transmitting more bits per symbol. Common forms of QAM include 16 QAM, 32 QAM, 64 QAM, and 256 QAM, with higher order variants transmitting more data at the cost of increased susceptibility to noise. QAM is widely used in digital cable, terrestrial television, and cellular technologies to transmit digital data over radio frequencies.
SONET/SDH are digital fiber optic transmission standards developed independently in the US and Europe to transmit data at high speeds over fiber optic cables. SONET defines a hierarchy of electrical signaling levels called STS and uses synchronous TDM multiplexing. It can transmit data from 155 Mbps to 2.5 Gbps and supports ring topologies. SONET defines layers for signal transmission including path, line, section and physical layers. SDH is the international version of SONET and uses similar framing and network elements like multiplexers, regenerators and cross-connects to transmit digital signals over fiber optic networks. DWDM further increases fiber capacity by transmitting multiple wavelengths/channels over the same fiber using wavelength division
The document provides an overview of MIMO (multiple-input multiple-output) systems in wireless communications. It discusses how MIMO can provide array gain, diversity gain, and multiplexing gain to improve spectral efficiency, coverage, and quality of service. It also describes how MIMO reduces co-channel interference. The document covers MIMO channel models and capacity results for different scenarios. It concludes by discussing how MIMO can be used to maximize diversity or throughput through different transmission techniques.
Massive MIMO (also known as “Large-Scale Antenna Systems”, “Very Large MIMO”, “Hyper MIMO”, “Full-Dimension MIMO” and “ARGOS”) makes a clean break with current practice through the use of a large excess of service-antennas over active terminals and time division duplex operation. Extra antennas help by focusing energy into ever-smaller regions of space to bring huge improvements in throughput and radiated energy efficiency. Other benefits of massive MIMO include the extensive use of inexpensive low-power components, reduced latency, simplification of the media access control (MAC) layer, and robustness to intentional jamming. The anticipated throughput depend on the propagation environment providing asymptotically orthogonal channels to the terminals, but so far experiments have not disclosed any limitations in this regard. While massive MIMO renders many traditional research problems irrelevant, it uncovers entirely new problems that urgently need attention: the challenge of making many low-cost low-precision components that work effectively together, acquisition and synchronization for newly-joined terminals, the exploitation of extra degrees of freedom provided by the excess of service-antennas, reducing internal power consumption to achieve total energy efficiency reductions, and finding new deployment scenarios.
Bit error rate (BER) is a measure of the error probability in a digital transmission system. It is defined as the ratio of wrongly received bits to the total number of transmitted bits. A low BER is necessary for reliable digital communication. BER can be measured using a bit error rate tester which transmits a test pattern and counts the number of errors. BER is affected by noise and interference in the transmission channel. Noisy or burst errors are more difficult to correct than random errors. BER is an important parameter to characterize the quality and reliability of a communication system.
This document discusses multiple-input multiple-output (MIMO) systems. It begins by outlining the motivations and aspirations for developing MIMO systems, including achieving high data rates near 1 gigabit/second while maintaining quality of service. It then provides an overview of MIMO system modeling and capacity studies. Key topics covered include diversity versus spatial multiplexing design criteria, example architectures, MIMO with orthogonal frequency-division multiplexing, and networking applications involving MAC protocols.
This document summarizes key concepts in propagation models for wireless mobile communications. It discusses free space losses, plane earth losses, and models for the wireless channel including macrocells, shadowing, narrowband fast fading, and wideband fast fading. Empirical and physical statistical models are described for modeling propagation in different environments like urban, suburban, and rural areas. Deterministic and statistical models are presented for modeling narrowband fast fading effects.
Quadrature amplitude modulation (QAM) is a modulation technique that encodes data by varying both the amplitude and phase of radio frequency carriers. It offers advantages over other modulation techniques like PSK by transmitting more bits per symbol. Common forms of QAM include 16 QAM, 32 QAM, 64 QAM, and 256 QAM, with higher order variants transmitting more data at the cost of increased susceptibility to noise. QAM is widely used in digital cable, terrestrial television, and cellular technologies to transmit digital data over radio frequencies.
SONET/SDH are digital fiber optic transmission standards developed independently in the US and Europe to transmit data at high speeds over fiber optic cables. SONET defines a hierarchy of electrical signaling levels called STS and uses synchronous TDM multiplexing. It can transmit data from 155 Mbps to 2.5 Gbps and supports ring topologies. SONET defines layers for signal transmission including path, line, section and physical layers. SDH is the international version of SONET and uses similar framing and network elements like multiplexers, regenerators and cross-connects to transmit digital signals over fiber optic networks. DWDM further increases fiber capacity by transmitting multiple wavelengths/channels over the same fiber using wavelength division
The document provides an overview of MIMO (multiple-input multiple-output) systems in wireless communications. It discusses how MIMO can provide array gain, diversity gain, and multiplexing gain to improve spectral efficiency, coverage, and quality of service. It also describes how MIMO reduces co-channel interference. The document covers MIMO channel models and capacity results for different scenarios. It concludes by discussing how MIMO can be used to maximize diversity or throughput through different transmission techniques.
Massive MIMO (also known as “Large-Scale Antenna Systems”, “Very Large MIMO”, “Hyper MIMO”, “Full-Dimension MIMO” and “ARGOS”) makes a clean break with current practice through the use of a large excess of service-antennas over active terminals and time division duplex operation. Extra antennas help by focusing energy into ever-smaller regions of space to bring huge improvements in throughput and radiated energy efficiency. Other benefits of massive MIMO include the extensive use of inexpensive low-power components, reduced latency, simplification of the media access control (MAC) layer, and robustness to intentional jamming. The anticipated throughput depend on the propagation environment providing asymptotically orthogonal channels to the terminals, but so far experiments have not disclosed any limitations in this regard. While massive MIMO renders many traditional research problems irrelevant, it uncovers entirely new problems that urgently need attention: the challenge of making many low-cost low-precision components that work effectively together, acquisition and synchronization for newly-joined terminals, the exploitation of extra degrees of freedom provided by the excess of service-antennas, reducing internal power consumption to achieve total energy efficiency reductions, and finding new deployment scenarios.
Bit error rate (BER) is a measure of the error probability in a digital transmission system. It is defined as the ratio of wrongly received bits to the total number of transmitted bits. A low BER is necessary for reliable digital communication. BER can be measured using a bit error rate tester which transmits a test pattern and counts the number of errors. BER is affected by noise and interference in the transmission channel. Noisy or burst errors are more difficult to correct than random errors. BER is an important parameter to characterize the quality and reliability of a communication system.
Diversity Techniques in mobile communicationsDiwaker Pant
The document discusses diversity techniques in wireless communication. It introduces different types of diversity including frequency diversity and time diversity. Frequency diversity involves transmitting the same information over multiple carrier frequencies separated by more than the coherence bandwidth. Time diversity involves repeated transmission of information with time spacing exceeding the channel coherence time. The document provides examples of how techniques like frequency division multiplexing and rake receivers implement frequency and time diversity respectively.
This document discusses multiple access techniques in wireless communication. It describes several techniques including Frequency Division Multiple Access (FDMA), Time Division Multiple Access (TDMA), Code Division Multiple Access (CDMA), and Space Division Multiple Access (SDMA). It also covers packet radio access methods like ALOHA, slotted ALOHA, and Carrier Sense Multiple Access (CSMA). Each technique allows multiple users to share wireless spectrum resources simultaneously through dividing access in frequency, time, code, or space.
CR : smart radio that has the ability to sense the external environment, learn from the history and make intelligent decisions to adjust its transmission parameters according
to the current state of the environment.
The document discusses analog communications and the Analog Communications course at Matrusri Engineering College. It includes:
- Course objectives like analyzing analog communication systems, understanding generation and detection of analog modulation techniques, and analyzing noise performance.
- Course outcomes like describing modulation/demodulation schemes and comparing analog modulation schemes.
- A syllabus covering topics like linear modulation schemes, angle modulation schemes, analog pulse modulation schemes, transmitters and receivers, and noise sources and types.
- Details of the course include lesson plans with topics, outcomes, textbooks, and introductions to modules on concepts like amplitude modulation and its time/frequency domain representations.
CDMA is a digital cellular standard that allows multiple users to access the same radio frequency channel simultaneously through the use of unique code sequences. Users are separated by spreading their transmitted signals across the frequency band using pseudo-random codes. CDMA provides advantages over other multiple access techniques like FDMA and TDMA such as increased capacity, soft handoffs between cells, and covert operation due to its noise-like signals. The IS-95 standard introduced CDMA to cellular networks and specified the use of orthogonal codes to separate signals and a 1.25 MHz channel bandwidth to support multiple simultaneous voice calls.
This document discusses mobile radio propagation and propagation models. It begins by introducing how radio channels are random and time-varying. It then covers the free space propagation model and how received power decreases with distance. Reflection, diffraction, and scattering are described as the main propagation mechanisms. The two-ray ground reflection model is presented to model propagation over large distances. Diffraction is explained using the knife-edge diffraction model. Fresnel zones and diffraction gain are also defined.
This document discusses bandwidth utilization and multiplexing techniques. It begins by explaining that bandwidth is a precious commodity in communication and that bandwidth utilization aims to make wise use of available bandwidth. It then discusses various multiplexing techniques including frequency-division multiplexing (FDM), time-division multiplexing (TDM), and wavelength-division multiplexing (WDM). For each technique, it provides examples and applications. It also covers digital carrier systems like T1, T2, T3 and discusses the North American digital multiplexing hierarchy.
This document discusses 5G technology and Non-Orthogonal Multiple Access (NOMA). It provides an overview of 5G, describing how 5G will enable higher data rates and bandwidth. NOMA is introduced as an emerging technology for 5G that uses power multiplexing to serve multiple users on the same time and frequency resources, providing higher spectral efficiency and lower latency compared to previous orthogonal multiple access techniques. The advantages of NOMA include higher throughput, massive connectivity, lower latency and improved quality of service. Potential applications discussed include supporting increased device connectivity for areas like the Internet of Things.
Introduction to basics of wireless networks such as
• Radio waves & wireless signal encoding techniques
• Wireless networking issues & constraints
• Wireless internetworking devices
This document summarizes key propagation models including Okumura, Hata, and COST231 models. It describes the models' parameters and equations. The Okumura model is empirical and based on extensive measurements in Japan. It accounts for factors like frequency, distance, and antenna heights. The Hata and COST231 models extend Okumura's validity to other frequencies and environments through curve-fitting. The document also explains how to extract data from the models' graphs using a web tool and simulate the models in MATLAB.
Deterministic MIMO Channel Capacity
• CSI is Known to the Transmitter Side
• CSI is Not Available at the Transmitter Side
Channel Capacity of Random MIMO Channels
QAM is a digital modulation technique that encodes data by varying both the amplitude and phase of carrier waves. It can carry higher data rates than schemes using just amplitude or phase. QAM is used widely in applications like digital cable TV, wireless networks, and video broadcasting. Higher order QAM uses more points in its constellation diagram, allowing more bits per symbol but making the signals more susceptible to noise.
This document provides an overview of microwave engineering and describes key concepts such as transmission lines, scattering parameters, couplers, and filters. The objectives are to provide the basic theory of microwaves and examine applications in modern communication systems. Microwave engineering involves the design of systems like radar, satellite communications, and wireless networks that operate in the microwave frequency range from 300 MHz to 300 GHz.
The document discusses massive MIMO technology. It defines massive MIMO as using a very large number of antennas at base stations to serve many users simultaneously. Key benefits include high spectral and energy efficiency. It explains that massive MIMO differs from conventional MU-MIMO by benefiting greatly from excess antennas. The document also covers topics like TDD vs FDD operation, pilot contamination issues and potential mitigation techniques, and synergies with mmWave networks.
1. PCM uses time division multiplexing to transmit multiple telephone calls over a single transmission line by sampling each call and transmitting the samples in brief time slots.
2. During sampling, the amplitude of an analog signal is measured at regular intervals and assigned a digital code. This process is called quantization and results in quantization distortion from approximating the original signal.
3. Non-uniform quantization, called companding, is used to provide more quantization levels for smaller amplitudes that are more common in speech, improving the signal-to-noise ratio across all amplitudes.
Frequency modulation and its applicationDarshil Shah
This document discusses frequency modulation (FM) including its definition, modulation index, spectrum characteristics, types of FM modulation, generation of FM using phase modulation, advantages and disadvantages compared to other modulation techniques, and applications of FM such as in radio broadcasting, television sound, and satellite television. FM provides noise immunity and allows adjusting the noise level by changing the frequency deviation. It is widely used for radio but requires more complex transmission and reception equipment than other modulation methods.
1) The document discusses small-scale fading in mobile radio propagation. Small-scale fading is caused by multipath propagation and describes rapid fluctuations in a radio signal over a short time period or travel distance.
2) It introduces the impulse response model used to model multipath channels. The received signal is a combination of multipath components that arrive at different times with different amplitudes and phases.
3) It discusses parameters used to characterize mobile multipath channels including mean excess delay, RMS delay spread, maximum excess delay, coherence bandwidth, Doppler spread, and coherence time. These parameters describe the time dispersion and time-varying nature of the channel.
1) MIMO systems use multiple antennas at both the transmitter and receiver to improve wireless communication capabilities. This allows for increased data rates and signal strength.
2) Traditional wireless systems use a single antenna at both ends (SISO) while MIMO can have multiple at both, known as MISO, SIMO, or fully multiple-input multiple-output (MIMO).
3) MIMO provides higher capacity through spatial multiplexing and increases spectrum efficiency. The Shannon capacity can increase linearly with the number of antennas or data streams.
Multiplexing is a set of techniques that allows the simultaneous transmission of multiple signals across a single data link by sharing the bandwidth between users. It achieves bandwidth utilization and efficiency by dividing the link into channels and using techniques like frequency-division multiplexing, time-division multiplexing, and wavelength-division multiplexing to combine analog signals based on their frequencies or transmission times or optical wavelengths. This allows one link to carry multiple conversations or data streams simultaneously.
Frequency division multiplexing (FDM) and time division multiplexing (TDM) are techniques that allow the simultaneous transmission of multiple signals over a single medium. FDM divides the frequency spectrum into multiple non-overlapping bands, with each signal being assigned its own unique frequency band. TDM involves dividing time into intervals and assigning each signal transmission time in turn. FDM is used for analog signals as they have continuous frequencies, while TDM is used for digital signals which operate in discrete time intervals. Both techniques improve bandwidth utilization by allowing multiple users to share the capacity of a transmission medium.
Diversity Techniques in mobile communicationsDiwaker Pant
The document discusses diversity techniques in wireless communication. It introduces different types of diversity including frequency diversity and time diversity. Frequency diversity involves transmitting the same information over multiple carrier frequencies separated by more than the coherence bandwidth. Time diversity involves repeated transmission of information with time spacing exceeding the channel coherence time. The document provides examples of how techniques like frequency division multiplexing and rake receivers implement frequency and time diversity respectively.
This document discusses multiple access techniques in wireless communication. It describes several techniques including Frequency Division Multiple Access (FDMA), Time Division Multiple Access (TDMA), Code Division Multiple Access (CDMA), and Space Division Multiple Access (SDMA). It also covers packet radio access methods like ALOHA, slotted ALOHA, and Carrier Sense Multiple Access (CSMA). Each technique allows multiple users to share wireless spectrum resources simultaneously through dividing access in frequency, time, code, or space.
CR : smart radio that has the ability to sense the external environment, learn from the history and make intelligent decisions to adjust its transmission parameters according
to the current state of the environment.
The document discusses analog communications and the Analog Communications course at Matrusri Engineering College. It includes:
- Course objectives like analyzing analog communication systems, understanding generation and detection of analog modulation techniques, and analyzing noise performance.
- Course outcomes like describing modulation/demodulation schemes and comparing analog modulation schemes.
- A syllabus covering topics like linear modulation schemes, angle modulation schemes, analog pulse modulation schemes, transmitters and receivers, and noise sources and types.
- Details of the course include lesson plans with topics, outcomes, textbooks, and introductions to modules on concepts like amplitude modulation and its time/frequency domain representations.
CDMA is a digital cellular standard that allows multiple users to access the same radio frequency channel simultaneously through the use of unique code sequences. Users are separated by spreading their transmitted signals across the frequency band using pseudo-random codes. CDMA provides advantages over other multiple access techniques like FDMA and TDMA such as increased capacity, soft handoffs between cells, and covert operation due to its noise-like signals. The IS-95 standard introduced CDMA to cellular networks and specified the use of orthogonal codes to separate signals and a 1.25 MHz channel bandwidth to support multiple simultaneous voice calls.
This document discusses mobile radio propagation and propagation models. It begins by introducing how radio channels are random and time-varying. It then covers the free space propagation model and how received power decreases with distance. Reflection, diffraction, and scattering are described as the main propagation mechanisms. The two-ray ground reflection model is presented to model propagation over large distances. Diffraction is explained using the knife-edge diffraction model. Fresnel zones and diffraction gain are also defined.
This document discusses bandwidth utilization and multiplexing techniques. It begins by explaining that bandwidth is a precious commodity in communication and that bandwidth utilization aims to make wise use of available bandwidth. It then discusses various multiplexing techniques including frequency-division multiplexing (FDM), time-division multiplexing (TDM), and wavelength-division multiplexing (WDM). For each technique, it provides examples and applications. It also covers digital carrier systems like T1, T2, T3 and discusses the North American digital multiplexing hierarchy.
This document discusses 5G technology and Non-Orthogonal Multiple Access (NOMA). It provides an overview of 5G, describing how 5G will enable higher data rates and bandwidth. NOMA is introduced as an emerging technology for 5G that uses power multiplexing to serve multiple users on the same time and frequency resources, providing higher spectral efficiency and lower latency compared to previous orthogonal multiple access techniques. The advantages of NOMA include higher throughput, massive connectivity, lower latency and improved quality of service. Potential applications discussed include supporting increased device connectivity for areas like the Internet of Things.
Introduction to basics of wireless networks such as
• Radio waves & wireless signal encoding techniques
• Wireless networking issues & constraints
• Wireless internetworking devices
This document summarizes key propagation models including Okumura, Hata, and COST231 models. It describes the models' parameters and equations. The Okumura model is empirical and based on extensive measurements in Japan. It accounts for factors like frequency, distance, and antenna heights. The Hata and COST231 models extend Okumura's validity to other frequencies and environments through curve-fitting. The document also explains how to extract data from the models' graphs using a web tool and simulate the models in MATLAB.
Deterministic MIMO Channel Capacity
• CSI is Known to the Transmitter Side
• CSI is Not Available at the Transmitter Side
Channel Capacity of Random MIMO Channels
QAM is a digital modulation technique that encodes data by varying both the amplitude and phase of carrier waves. It can carry higher data rates than schemes using just amplitude or phase. QAM is used widely in applications like digital cable TV, wireless networks, and video broadcasting. Higher order QAM uses more points in its constellation diagram, allowing more bits per symbol but making the signals more susceptible to noise.
This document provides an overview of microwave engineering and describes key concepts such as transmission lines, scattering parameters, couplers, and filters. The objectives are to provide the basic theory of microwaves and examine applications in modern communication systems. Microwave engineering involves the design of systems like radar, satellite communications, and wireless networks that operate in the microwave frequency range from 300 MHz to 300 GHz.
The document discusses massive MIMO technology. It defines massive MIMO as using a very large number of antennas at base stations to serve many users simultaneously. Key benefits include high spectral and energy efficiency. It explains that massive MIMO differs from conventional MU-MIMO by benefiting greatly from excess antennas. The document also covers topics like TDD vs FDD operation, pilot contamination issues and potential mitigation techniques, and synergies with mmWave networks.
1. PCM uses time division multiplexing to transmit multiple telephone calls over a single transmission line by sampling each call and transmitting the samples in brief time slots.
2. During sampling, the amplitude of an analog signal is measured at regular intervals and assigned a digital code. This process is called quantization and results in quantization distortion from approximating the original signal.
3. Non-uniform quantization, called companding, is used to provide more quantization levels for smaller amplitudes that are more common in speech, improving the signal-to-noise ratio across all amplitudes.
Frequency modulation and its applicationDarshil Shah
This document discusses frequency modulation (FM) including its definition, modulation index, spectrum characteristics, types of FM modulation, generation of FM using phase modulation, advantages and disadvantages compared to other modulation techniques, and applications of FM such as in radio broadcasting, television sound, and satellite television. FM provides noise immunity and allows adjusting the noise level by changing the frequency deviation. It is widely used for radio but requires more complex transmission and reception equipment than other modulation methods.
1) The document discusses small-scale fading in mobile radio propagation. Small-scale fading is caused by multipath propagation and describes rapid fluctuations in a radio signal over a short time period or travel distance.
2) It introduces the impulse response model used to model multipath channels. The received signal is a combination of multipath components that arrive at different times with different amplitudes and phases.
3) It discusses parameters used to characterize mobile multipath channels including mean excess delay, RMS delay spread, maximum excess delay, coherence bandwidth, Doppler spread, and coherence time. These parameters describe the time dispersion and time-varying nature of the channel.
1) MIMO systems use multiple antennas at both the transmitter and receiver to improve wireless communication capabilities. This allows for increased data rates and signal strength.
2) Traditional wireless systems use a single antenna at both ends (SISO) while MIMO can have multiple at both, known as MISO, SIMO, or fully multiple-input multiple-output (MIMO).
3) MIMO provides higher capacity through spatial multiplexing and increases spectrum efficiency. The Shannon capacity can increase linearly with the number of antennas or data streams.
Multiplexing is a set of techniques that allows the simultaneous transmission of multiple signals across a single data link by sharing the bandwidth between users. It achieves bandwidth utilization and efficiency by dividing the link into channels and using techniques like frequency-division multiplexing, time-division multiplexing, and wavelength-division multiplexing to combine analog signals based on their frequencies or transmission times or optical wavelengths. This allows one link to carry multiple conversations or data streams simultaneously.
Frequency division multiplexing (FDM) and time division multiplexing (TDM) are techniques that allow the simultaneous transmission of multiple signals over a single medium. FDM divides the frequency spectrum into multiple non-overlapping bands, with each signal being assigned its own unique frequency band. TDM involves dividing time into intervals and assigning each signal transmission time in turn. FDM is used for analog signals as they have continuous frequencies, while TDM is used for digital signals which operate in discrete time intervals. Both techniques improve bandwidth utilization by allowing multiple users to share the capacity of a transmission medium.
Multiplexing combines multiple signals into a single transmission medium. There are several types of multiplexing including frequency division multiplexing (FDM), time division multiplexing (TDM), wavelength division multiplexing (WDM), and code division multiplexing (CDM). FDM combines analog signals onto different frequencies. TDM divides the transmission signal into time slots and allocates each signal to a time slot. WDM combines multiple optical carrier signals onto a single optical fiber by using different wavelengths of laser light. CDM combines signals by using spread spectrum technology and coding.
This document discusses multiplexing techniques for transmitting multiple signals across a single data link. It describes frequency-division multiplexing (FDM) and time-division multiplexing (TDM). FDM is an analog technique that combines analog signals by allocating individual frequency bands to each signal. TDM is a digital technique that combines multiple low-rate digital channels into a single high-rate channel by interleaving signals based on time slots. The document compares the advantages and disadvantages of FDM and TDM, noting that FDM is used for analog signals which have frequency, while TDM is used for digital signals which are time-dependent.
In internetworking, Multiplexing is a process in which multiple data.pdfanupambedcovers
In internetworking, Multiplexing is a process in which multiple data channels are combined into
a single data or physical channel at the source. Multiplexing can be implemented at any of the
OSI layers. Conversely, demultiplexing is the process of separating multiplexed data channels at
the destination. In this way student data & class assignment data can be combined & separated.
Types of Multiplexing
There are two basic forms of multiplexing used:
Time Division Multiplexing
Time Division Multiplexing works by the multiplexor collecting and storing the incoming
transmissions from all of the slow lines connected to it and allocating a time slice on the fast link
to each in turn. The messages are sent down the high speed link one after the other. Each
transmission when received can be separated according to the time slice allocated.
Theoretically, the available speed of the fast link should at least be equal to the total of all of the
slow speeds coming into the multiplexor so that its maximum capacity is not exceeded.
Two ways of implementing TDM are:
Synchronous TDM
Synchronous TDM works by the muliplexor giving exactly the same amount of time to each
device connected to it. This time slice is allocated even if a device has nothing to transmit. This
is wasteful in that there will be many times when allocated time slots are not being used.
Therefore, the use of Synchronous TDM does not guarantee maximum line usage and efficiency.
Synchronous TDM is used in T1 and E1 connections.
Asynchronous TDM
Asynchronous TDM is a more flexible method of TDM. With Asynchronous TDM the length of
time allocated is not fixed for each device but time is given to devices that have data to transmit.
This version of TDM works by tagging each frame with an identification number to note which
device it belongs to. This may require more processing by the multiplexor and take longer,
however, the time saved by efficient and effective bandwidth utilization makes it worthwhile.
Asynchronous TDM allows more devices than there is physical bandwidth for.
This type of TDM is used in Asynchronous Transfer Mode (ATM) networks.
Frequency Division Multiplexing
Frequency Division Multiplexing (FDM) works by transmitting all of the signals along the same
high speed link simultaneously with each signal set at a different frequency. For FDM to work
properly frequency overlap must be avoided. Therefore, the link must have sufficient bandwidth
to be able to carry the wide range of frequencies required. The demultiplexor at the receiving end
works by dividing the signals by tuning into the appropriate frequency.
FDM operates in a similar way to radio broadcasting where a number of different stations will
broadcast simultaneously but on different frequencies. Listeners can then \"tune\" their radio so
that it captures the frequency or station they want.
FDM gives a total bandwidth greater than the combined bandwidth of the signals to be
transmitted. In order to prevent signal overlap t.
Multiplexing is a scheme that sends multiple signals over a single transmission medium. There are four main types: frequency division multiplexing (FDM), wavelength division multiplexing (WDM), time division multiplexing (TDM), and code division multiplexing (CDM). FDM uses different frequency bands to separate signals. WDM uses different wavelengths of light to separate signals on optical fibers. TDM divides time into slots and allocates each signal a time slot.
This document discusses different techniques for bandwidth utilization, including multiplexing and spreading. It describes multiplexing as a set of techniques that allows the simultaneous transmission of multiple signals across a single data link when the bandwidth of the medium is greater than what is needed by a single device. It then discusses various multiplexing techniques in more detail, including frequency-division multiplexing (FDM), wavelength-division multiplexing (WDM), and time-division multiplexing (TDM). For each technique, it provides examples to illustrate how they work.
Multiplexing is a technique that combines multiple signals into one signal over a shared medium. There are three main types of multiplexing: frequency division multiplexing (FDM), time division multiplexing (TDM), and wavelength division multiplexing (WDM). FDM separates signals by allocating different frequency bands to different channels. TDM separates signals by allocating different time slots to different channels. WDM separates signals by using different wavelengths of laser light for different channels and allows bidirectional communication over one fiber strand.
Time division multiplexing (TDM) is a technique used in telecommunications to transmit multiple signals over a shared medium. It involves dividing a signal into multiple time slots and assigning each slot to a different signal. TDM was initially developed for telegraphy in 1870 and is now widely used. It is used in digital networks like TDM telephone networks and synchronous digital hierarchy (SDH) networks to efficiently allocate bandwidth to multiple signals or data streams. Common examples of TDM include digitally transmitting multiple telephone calls over the same cable or interleaving left and right stereo signals in an audio file.
The tutorial is designed for all those readers who are planning or pursuing the CDMA course to make their career in this field. However, it is also meant for the common readers who simply want to understand − what is CDMA Technology?
Multiplexing allows the simultaneous transmission of multiple signals across a single data link using techniques like frequency division multiplexing (FDM), wavelength division multiplexing (WDM), and time division multiplexing (TDM). FDM combines signals by allocating each a different frequency band. WDM is similar but uses light signals transmitted through fiber optic channels. TDM is a digital process that combines data by allocating time slots, with synchronous TDM assigning fixed slots and asynchronous TDM allowing flexible slot allocation.
The document discusses different techniques for multiplexing, which is the sharing of a transmission medium by multiple signals. It describes frequency division multiplexing (FDM), time division multiplexing (TDM) including synchronous and statistical TDM, wavelength division multiplexing (WDM), and code division multiplexing (CDM). TDM techniques like T-1 and ISDN use synchronous multiplexing to transmit multiple digital signals over a single circuit simultaneously.
Multiplexing is a set of techniques that allow the simultaneous transmission of multiple signals across a data link by combining or dividing the signals. There are three main multiplexing techniques: frequency-division multiplexing (FDM), wavelength-division multiplexing (WDM), and time-division multiplexing (TDM). FDM and WDM are analog techniques that combine analog signals onto different carrier frequencies or wavelengths. TDM is a digital technique that divides the transmission link into sequential time slots and assigns each signal to a different time slot, allowing multiple signals to be sent on the same link. Multiplexing helps utilize the full bandwidth of a link when the individual signal bandwidths are lower than the link bandwidth.
The document discusses different types of multiplexing techniques used to share transmission mediums. It describes frequency division multiplexing which assigns different non-overlapping frequency ranges to signals transmitted simultaneously. It also describes synchronous and statistical time division multiplexing which divide transmission time among users in a continuous or variable manner. Finally, it briefly mentions wavelength division multiplexing which assigns different wavelengths to signals on fiber optics and code division multiplexing used in mobile communications.
This document discusses multiplexing techniques. It defines multiplexing as allowing simultaneous transmission of multiple signals across a single data link. Multiplexing combines multiple analog or digital signals into one signal using a multiplexer device. Common multiplexing techniques include time-division multiplexing (TDM), frequency-division multiplexing (FDM), space-division multiplexing (SDM), code division multiplexing (CDM), and wave division multiplexing. TDM is explained in more detail as a digital technique that combines data by allocating time slots to each sending and receiving device.
This slide gives an introduction to the need of multiplexing . The two basic types of multiplexing are Frequency division multiplexing and time division multiplexing. These slide provides with the basics of both . How these techniques work and what is the difference between them
Similar to Multiplexing & DE Multiplexing( Time Division Multiplexing(TDM) & Frequency Division Multiplexing(FDM)) (20)
The document discusses network and data security. It notes that there is a hacker attack every 39 seconds and over 300,000 new malware are created daily, posing significant threats. It then defines network security and data protection, and discusses various technical and organizational strategies that can help improve security, such as firewalls, antivirus software, access control, encryption protocols like WPA2, and employee training. The document emphasizes adopting a holistic, next-generation approach to endpoint security to effectively combat modern cyber threats.
Professional ethics for engineers can be summarized as follows:
1. It sets rules and guidelines for professional conduct of engineers to ensure personal and social well-being as well as environmental protection.
2. It aims to develop moral values and resolve issues through principles like safety, honesty and fairness in engineering work.
3. Professional codes and standards established by engineering bodies provide guidance on ethical decision making and handling of situations.
This document lists the key characteristics of 3G mobile networks, including SMS messaging, broadcasting, always-on internet access, multimedia messaging, push-to-talk cellular, instant messaging, internet applications through WAP, point-to-point and point-to-multipoint services that allow internetworking and multicast calls over 3G networks.
1. Gas turbine power plants work by compressing air which is then mixed with fuel and ignited, producing hot exhaust gases that spin a turbine to generate electricity. They have advantages over steam plants like lower costs and less water use.
2. Key factors in selecting a gas turbine plant site include proximity to load centers to minimize transmission costs, available cheap land, accessible fuel sources, transportation access, and distance from populated areas due to noise.
3. Gas turbines compress air, combust fuel in it, and harness the expanding hot gases to drive a turbine coupled to a generator. While more efficient than earlier designs, over half the power produced is still used to drive the compressor.
Renewable energy comes from natural resources like sunlight, wind, rain, tides and geothermal heat. Sources of renewable energy include solar, wind, biomass, hydro and geothermal. Solar energy can be harvested through solar heating and cooling or solar panels. Wind energy is captured through wind turbines. Biomass energy comes from burning biomass directly or converting it into biofuels. Geothermal energy taps into the natural heat of the earth for electricity and heating. Renewable energy has benefits like being renewable and producing less emissions than fossil fuels, though it also has challenges around availability and costs.
Power system operation & control( Switching & Controlling System)UthsoNandy
This document discusses a course on power system operation and control. It includes:
- An overview of principles like SCADA systems, unit commitment, and security analysis.
- A list of recommended textbooks and software like PowerWorld and Matlab.
- A description of the general structure of modern power systems including generation, transmission, distribution, and loads.
Power system 2(High Voltage DC,Cables and Different types cable,Transmission)UthsoNandy
This course covers advanced topics in power transmission engineering. It discusses the basic structure of electric power systems including generation, transmission, and distribution. Key concepts that are covered include types of stability in power systems (steady state, dynamic, and transient), components of overhead transmission lines and underground cables, conductor materials, and authorities involved in generation, transmission, and distribution in Bangladesh. The document provides information on voltage levels, advantages of high voltage transmission, and factors affecting power system stability.
Logical channels are divided into traffic channels and control channels. Traffic channels (TCH) transmit data and voice, while control channels (CCH) handle signaling and control. CCHs include broadcast, common, and dedicated channels. Broadcast CCHs like FCCH, SCH, and BCCH transmit general network information. Common CCHs include PCH, RACH, and AGCH for paging, accessing the network, and assigning dedicated channels. Dedicated CCHs comprise SDCCH, SACCH, and FACCH for call setup and handover signaling. TCHs include full rate, half rate, and enhanced full rate channels for various data and voice transmission rates.
Nuclear fuel such as uranium-235 and plutonium-239 undergo nuclear fission, releasing heat energy when struck by neutrons and sustaining a nuclear chain reaction. A nuclear reactor uses this process to generate heat and convert water to steam to power turbines, and includes control rods to regulate the reaction, steam generators to produce steam, and additional components like coolant pumps, feed pumps, condensers, and cooling towers. The reactor works by moderating neutrons with water to induce fission in uranium-235 fuel rods, producing more neutrons and heat in a controlled chain reaction.
The document describes the key components of a steam power plant, including:
1. The coal handling plant which includes unloading, conveying, and crushing coal.
2. The boiler, which uses water tubes or fire tubes to generate high pressure steam.
3. Turbines which convert the thermal energy of steam into rotational motion using impulse or reaction blades.
4. Condensers which cool the steam from the turbines before it returns to the boiler via feed pumps to repeat the Rankine cycle that powers the plant.
1. The document discusses gas power cycles and ideal cycles that approximate internal combustion engines. It focuses on the Otto cycle for spark-ignition engines and the Diesel cycle.
2. The Otto cycle consists of isentropic compression, constant volume heat addition, isentropic expansion, and constant volume heat rejection. The Diesel cycle replaces the constant volume heat addition with constant pressure heat addition.
3. Equations are derived for the thermal efficiency of the Otto and Diesel cycles in terms of the compression ratio and temperature ratios between processes. The temperature ratios depend on whether the specific heats are constant or variable.
This document provides an introduction to refrigeration and discusses key concepts. It describes how Danfoss is a worldwide manufacturer of refrigeration and air conditioning components and systems. It offers a wide range of innovative products for various refrigeration applications, including controls, compressors, heat exchangers, and more. The document aims to interest non-experts in basic refrigeration principles by thoroughly explaining elementary concepts and practical component design in everyday language.
1. The document describes the objectives and topics of an introductory control systems engineering course. It will introduce modeling, analysis, and design tools for control systems including digital control systems.
2. It provides an overview of what constitutes a control system including open and closed loop examples. The goal is to provide a desired system response by interconnecting system components.
3. Feedback control systems provide advantages like greater accuracy, less sensitivity to disturbances, and improved transient response and steady-state error which can be controlled by adjusting loop gain.
This document discusses induction motors. It begins by explaining the basic construction and operation of 3-phase induction motors, including their squirrel cage and wound rotor types. It then describes how the rotating magnetic field is produced in the stator by the 3-phase currents and how this induces a voltage and current in the rotor. The document discusses how slip occurs and affects rotor speed and frequency. It also covers equivalent circuits, power losses, torque production, and provides an example problem calculating motor parameters.
EEE 321( Power System Analysis and Principle of Power System and Power syste...UthsoNandy
Here is the knowledge of Power System Analysis and Principle of Power System that will help upgrade your knowledge upgrade yourself that will help to gather the knowledge and You can upgrade yourself by gathering the knowledge of Power system stability and control
EEE 453( Semiconductor Switch and Triggering Device) UthsoNandy
Here is the information about electronics devices( Semiconductor Switch and Triggering Device) and amplifiers and application that will help to upgrade yourself and your knowledge
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
3. Transmitting two or more signals
simultaneously can be accomplished by
setting up one transmitter-receiver pair for
each channel, but this is an expensive
approach.
A single cable or radio link can handle
multiple signals simultaneously using a
technique known as multiplexing.
Multiplexing permits hundreds or even
thousands of signals to be combined and
transmitted over a single medium.
Cost savings can be gained by using a
Multiplexing and DE multiplexing
4. 6.4
Bandwidth utilization is the wise use of
available bandwidth to achieve
specific goals.
Efficiency can be achieved by
multiplexing; i.e., sharing of the
bandwidth between multiple users.
Note
5. 6.5
6-1 MULTIPLEXING
Whenever the bandwidth of a medium linking two
devices is greater than the bandwidth needs of the
devices, the link can be shared. Multiplexing is the set
of techniques that allows the (simultaneous)
transmission of multiple signals across a single data
link. As data and telecommunications use increases, so
does traffic.
Frequency-Division Multiplexing
Wavelength-Division Multiplexing
Synchronous Time-Division Multiplexing
Statistical Time-Division Multiplexing
Topics discussed in this section:
9. FREQUENCY DIVISION
MULTIPLEXING
• Useful bandwidth of medium exceeds required
bandwidth of channel
• Each signal is modulated to a different carrier
frequency
• Carrier frequencies separated so signals do
not overlap (guard bands)
• e.g. broadcast radio
• Channel allocated even if no data