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.
Professor Mark Beach's presentation (without videos) on the University of Bristol's Massive MIMO activities as given at the IET's 'Towards 5G Mobile Technology – Vision to Reality' event, January 25th 2017.
All of us have lofty expectations for 5G wireless technology.
Massive growth in demand for mobile data...
Massive growth in the number of connected devices...
Massive change in data transfer rates and latency...
Massive explosion in the diversity of mobile applications...
Massive....Massive....Massive....this word is frequently used like never before.
Delivering all these expectations depends on the evolution of existing technologies and revolution in new technologies.
One such revolutionary change is the use of massive multiple-input/multiple-output (MIMO) antenna systems in 5G for different frequency ranges.
Interested to understand and learn what mMIMO means?!
If yes, here is some massive theoretical information on Massive MIMO.
An overview of Massive MIMO technology and it's scope for the next generations of wireless communications. Presented at a seminar in Ulm University in the department of Communications Engineering.
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.
Professor Mark Beach's presentation (without videos) on the University of Bristol's Massive MIMO activities as given at the IET's 'Towards 5G Mobile Technology – Vision to Reality' event, January 25th 2017.
All of us have lofty expectations for 5G wireless technology.
Massive growth in demand for mobile data...
Massive growth in the number of connected devices...
Massive change in data transfer rates and latency...
Massive explosion in the diversity of mobile applications...
Massive....Massive....Massive....this word is frequently used like never before.
Delivering all these expectations depends on the evolution of existing technologies and revolution in new technologies.
One such revolutionary change is the use of massive multiple-input/multiple-output (MIMO) antenna systems in 5G for different frequency ranges.
Interested to understand and learn what mMIMO means?!
If yes, here is some massive theoretical information on Massive MIMO.
An overview of Massive MIMO technology and it's scope for the next generations of wireless communications. Presented at a seminar in Ulm University in the department of Communications Engineering.
5G is the fifth generation cellular network technology. The industry association 3GPP defines any system using "5G NR" (5G New Radio) software as "5G", a definition that came into general use by late 2018. Others may reserve the term for systems that meet the requirements of the ITU IMT-2020. 3GPP will submit their 5G NR to the ITU.[1] It follows 2G, 3G and 4G and their respective associated technologies (such as GSM, UMTS, LTE, LTE Advanced Pro and others).
NOTE: The slides contain the visual effects. So for complete information download the presentation and view it in slideshow mode.
Description of Non-orthogonal Multiple access in 5G networks Detailed discussion on downlink NOMA scenario and future challenges and trends.
To keep up with rising demand and new technologies, the wireless industry is researching a wide array of solutions for 5G, the next generation of wireless networking. Technologies based on Multiple Input Multiple Output (MIMO), including Massive MIMO, are among key concepts. As a leading provider of wireless simulation tools, Remcom is developing an innovative and efficient MIMO simulation capability.
Non-Orthogonal Multiple Access (NOMA) 5G Training - Tonex TrainingBryan Len
Length: 3 Days
5G Wireless utilizing NOMA training covers the major 5G remote interchanges including, channels, antennas, propagation, 3GPP New Radio (NR), Next Generation (NexGen), issues encompassing rising 5G remote LAN and cell/backhaul applications.
5G Technologies Using NOMA Training covers ideas, administrations, technologies and network segments behind 5G remote. Discover how 5G remote networks will be a lot more intelligent and quicker than 4G. New patterns, for example, machine-to-machine correspondence, self-driving vehicles, keen urban areas, associated society, Internet of Things (IoT), communicate like administrations, life saver interchanges in the midst of normal disaster will be a piece of the new 5G wireless services.
Learning Objectives:
Upon completion of this course, the attendees can:
Describe what 5G is
Describe what Non-orthogonal multiple access (NOMA) is
Describe different modulation techniques in mobile communication
Describe power-level modulation
Describe key metrics for evaluation of modulation techniques
Describe advantages and disadvantages of NOMA
Compare and contrast orthogonal multiple access (OMA) and NOMA
Describe methods to implement OMA and NOMA
Describe ongoing research areas for NOMA implementation
List the 5G wireless features and their benefits (5G wireless communication networks)
Describe key 5G technology drivers and enablers of 5G
List 5G technology candidates in RAN/radio, transport, core networks, interoperability and services
List 5G Wireless Use Cases & User-Driven 5G Requirements
Describe ITU 5G standards (IMT2020) along with NGMN alliance and 3GPP and more…
Course content / agenda:
What is 5G Wireless Communication?
5G Wireless Requirements, Applications, and Services
5G Vision
Fundamental Communications Concepts for NOMA Modulation Fundamentals
Analog Modulation
Digital Modulation
Demodulation
Detection
5G Wireless Air Interface
5G and NOMA
NOMA Classification Types
NOMA technology basics
Performance Characterization of NOMA
Request more information regarding 5G and NOMA. Visit tonex.com for course and workshop detail.
Non-Orthogonal Multiple Access (NOMA) 5G Training - Tonex Training
https://www.tonex.com/training-courses/non-orthogonal-multiple-access-noma-training-future-5g-technologies/
These are the slides of the talk "Putting the citizens at the center of the network: Cell-free architectures" that I delivered at the IEEE 5G Summit held in Montreal today!
Min input and min output of the system can be conduct by the process of interest in the process of view of synchronisation and software Engineer at the system can be a good idea for this colour combination of view of the best part of the system can be conduct by the process of view till now I'm interested for the system based engineering and technology related issues in college and software engineer h today’s increasing demand for security, especially in public places such as
airports, train stations, supermarkets, schools, and crowded street, surveillance cameras are
used for monitoring daily activities and detecting abnormal events. This task focuses on the
localization of anomalies using both temporal and partial information in videos. Anomalies
can be defined as events deviating from normal behavior [1], e.g., fighting, sneaking,
or unattended bags at an airport. The purpose of using surveillance cameras is the early
detection of anomalous human behaviors. This is a critical task in many cases where human
intervention is necessary, e.g., for crime prevention or countering terrorism. However,
this process requires labor-intensive and continuous human attention, which is a tedious
process, since abnormal events only happen 0.01% of the time and 99.9% of the surveillance
time is wasted [2]. Moreover, a surveillance system produces a lot of redundant video data,
which require unnecessary storage space. For reducing human errors and storage costs, it
is necessary to build an efficient surveillance system for detecting any strange behaviors
that may lead to dangerous situations. This requires deep and comprehensive study of
human activity recognition, to understand the features representative of each action.
Anomaly detection in video has a wide range of applications, such as for traffic
accident detection, criminal activity detection, and illegal activity detection. In addition,
detecting anomalous items or abandoned objects, such as guns or knifes, is necessary in
sensitive area
5G is the fifth generation cellular network technology. The industry association 3GPP defines any system using "5G NR" (5G New Radio) software as "5G", a definition that came into general use by late 2018. Others may reserve the term for systems that meet the requirements of the ITU IMT-2020. 3GPP will submit their 5G NR to the ITU.[1] It follows 2G, 3G and 4G and their respective associated technologies (such as GSM, UMTS, LTE, LTE Advanced Pro and others).
NOTE: The slides contain the visual effects. So for complete information download the presentation and view it in slideshow mode.
Description of Non-orthogonal Multiple access in 5G networks Detailed discussion on downlink NOMA scenario and future challenges and trends.
To keep up with rising demand and new technologies, the wireless industry is researching a wide array of solutions for 5G, the next generation of wireless networking. Technologies based on Multiple Input Multiple Output (MIMO), including Massive MIMO, are among key concepts. As a leading provider of wireless simulation tools, Remcom is developing an innovative and efficient MIMO simulation capability.
Non-Orthogonal Multiple Access (NOMA) 5G Training - Tonex TrainingBryan Len
Length: 3 Days
5G Wireless utilizing NOMA training covers the major 5G remote interchanges including, channels, antennas, propagation, 3GPP New Radio (NR), Next Generation (NexGen), issues encompassing rising 5G remote LAN and cell/backhaul applications.
5G Technologies Using NOMA Training covers ideas, administrations, technologies and network segments behind 5G remote. Discover how 5G remote networks will be a lot more intelligent and quicker than 4G. New patterns, for example, machine-to-machine correspondence, self-driving vehicles, keen urban areas, associated society, Internet of Things (IoT), communicate like administrations, life saver interchanges in the midst of normal disaster will be a piece of the new 5G wireless services.
Learning Objectives:
Upon completion of this course, the attendees can:
Describe what 5G is
Describe what Non-orthogonal multiple access (NOMA) is
Describe different modulation techniques in mobile communication
Describe power-level modulation
Describe key metrics for evaluation of modulation techniques
Describe advantages and disadvantages of NOMA
Compare and contrast orthogonal multiple access (OMA) and NOMA
Describe methods to implement OMA and NOMA
Describe ongoing research areas for NOMA implementation
List the 5G wireless features and their benefits (5G wireless communication networks)
Describe key 5G technology drivers and enablers of 5G
List 5G technology candidates in RAN/radio, transport, core networks, interoperability and services
List 5G Wireless Use Cases & User-Driven 5G Requirements
Describe ITU 5G standards (IMT2020) along with NGMN alliance and 3GPP and more…
Course content / agenda:
What is 5G Wireless Communication?
5G Wireless Requirements, Applications, and Services
5G Vision
Fundamental Communications Concepts for NOMA Modulation Fundamentals
Analog Modulation
Digital Modulation
Demodulation
Detection
5G Wireless Air Interface
5G and NOMA
NOMA Classification Types
NOMA technology basics
Performance Characterization of NOMA
Request more information regarding 5G and NOMA. Visit tonex.com for course and workshop detail.
Non-Orthogonal Multiple Access (NOMA) 5G Training - Tonex Training
https://www.tonex.com/training-courses/non-orthogonal-multiple-access-noma-training-future-5g-technologies/
These are the slides of the talk "Putting the citizens at the center of the network: Cell-free architectures" that I delivered at the IEEE 5G Summit held in Montreal today!
Min input and min output of the system can be conduct by the process of interest in the process of view of synchronisation and software Engineer at the system can be a good idea for this colour combination of view of the best part of the system can be conduct by the process of view till now I'm interested for the system based engineering and technology related issues in college and software engineer h today’s increasing demand for security, especially in public places such as
airports, train stations, supermarkets, schools, and crowded street, surveillance cameras are
used for monitoring daily activities and detecting abnormal events. This task focuses on the
localization of anomalies using both temporal and partial information in videos. Anomalies
can be defined as events deviating from normal behavior [1], e.g., fighting, sneaking,
or unattended bags at an airport. The purpose of using surveillance cameras is the early
detection of anomalous human behaviors. This is a critical task in many cases where human
intervention is necessary, e.g., for crime prevention or countering terrorism. However,
this process requires labor-intensive and continuous human attention, which is a tedious
process, since abnormal events only happen 0.01% of the time and 99.9% of the surveillance
time is wasted [2]. Moreover, a surveillance system produces a lot of redundant video data,
which require unnecessary storage space. For reducing human errors and storage costs, it
is necessary to build an efficient surveillance system for detecting any strange behaviors
that may lead to dangerous situations. This requires deep and comprehensive study of
human activity recognition, to understand the features representative of each action.
Anomaly detection in video has a wide range of applications, such as for traffic
accident detection, criminal activity detection, and illegal activity detection. In addition,
detecting anomalous items or abandoned objects, such as guns or knifes, is necessary in
sensitive area
MIMO-OFDM (Multi Input Multi Output- Orthogonal Frequency Division Multiplexing) system is very popular technique for mobile communication. We found that Ergodic channel capacity has some limitation in MIMO-OFDM system. So Ergodic channel capacity optimization is necessary to improve the performance of MIMO-OFDM System.
Multicarrier modulation can be implemented by using Orthogonal Frequency Division Multiplexing (OFDM) to achieve utmost bandwidth exploitation and soaring alleviation attributes profile besides multipath fading. To support delay sensitive and band bandwidth demanding multimedia applications and internet services, MIMO in addition with other techniques can be used to achieve high capacity and reliability. To obtain high spatial rate by transmitting data on several antennas by using MIMO with OFDM results in reducing error recovery features and the equalization complexities arise by sending data on varying frequency levels. Three parameters frequency OFDM, Spatial (MIMO) and time (STC) can be used to achieve diversity in MIMO-OFDM. This technique is dynamic and well-known for services of wireless broadband access. MIMO if used with OFDM is highly beneficial for each scheme and provides high throughput. There are several space time block codes to exploit MIMO OFDM; one of the techniques is called Alamouti Codes. The paper investigates adaptive Alamouti Codes and their application in IEEE 802.11n.
Performance Analysis of 2x2 MIMO for OFDM-DSSS Based Wireless SystemAM Publications
In today’s 3G world moving to 4G requires high data rate support in applications like multimedia services,
internet access and video streaming services. Such applications are always in need of very high speed data rate
support which increases the requirement of efficient usage of spectrum and high capacity systems. Thus the major
challenges to be taken care of in designing the next generation wireless communications system should provide or
accommodate capacity, the spectral efficiency, improved link reliability and multimedia services. So we can establish a
distributed system in terms of multi-carrier, multi-antenna and coded pulse. It gives rise to hybrid technology based on
DSSS, OFDM, and MIMO system which can be the ultimate solution for wireless cellular communication systems. In
this paper we analysis the performance of MIMO-OFDM-DSSS system. This paper also includes comparison of
performances of MIMO-OFDM-DSSS system with ZF and MMSE equalizer on the basis of BER using different
modulation techniques in a scattering environment.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
The Study and Analysis of Effect of MultiAntenna Techniques on LTE network wi...Eswar Publications
Long Term Evolution (LTE) system adapts advanced Multiple Input Multiple Output (MIMO) antenna techniques on both uplink and downlink to achieve high peak data rates and higher system throughput. This enables LTE to support multimedia applications beyond web browsing and voice, which demands higher bandwidth configurations. LTE employs Orthogonal Frequency Division Multiple Access (OFDMA) in downlink
to support spectrum flexibility in order to use upto 20MHz system bandwidth to improve the system throughput and robustness. Therefore the combined study of multi-antenna techniques and spectrum flexibility usage on the performance of LTE system becomes vital. Hence in this paper, an attempt has been made to evaluate the performance of different multi-antenna techniques with various system bandwidth configurations from 1.4MHz to 20MHz using QualNet 5.2 network simulator. The multi-antenna techniques considered for performance evaluation are Single Input Single Output (SISO), Multiple Input Single Output (MISO) and Multiple Input
Multiple Output (MIMO). The performance metrics such as aggregate bytes received, average throughput, average delay and average jitter are considered for simulation study.
Online aptitude test management system project report.pdfKamal Acharya
The purpose of on-line aptitude test system is to take online test in an efficient manner and no time wasting for checking the paper. The main objective of on-line aptitude test system is to efficiently evaluate the candidate thoroughly through a fully automated system that not only saves lot of time but also gives fast results. For students they give papers according to their convenience and time and there is no need of using extra thing like paper, pen etc. This can be used in educational institutions as well as in corporate world. Can be used anywhere any time as it is a web based application (user Location doesn’t matter). No restriction that examiner has to be present when the candidate takes the test.
Every time when lecturers/professors need to conduct examinations they have to sit down think about the questions and then create a whole new set of questions for each and every exam. In some cases the professor may want to give an open book online exam that is the student can take the exam any time anywhere, but the student might have to answer the questions in a limited time period. The professor may want to change the sequence of questions for every student. The problem that a student has is whenever a date for the exam is declared the student has to take it and there is no way he can take it at some other time. This project will create an interface for the examiner to create and store questions in a repository. It will also create an interface for the student to take examinations at his convenience and the questions and/or exams may be timed. Thereby creating an application which can be used by examiners and examinee’s simultaneously.
Examination System is very useful for Teachers/Professors. As in the teaching profession, you are responsible for writing question papers. In the conventional method, you write the question paper on paper, keep question papers separate from answers and all this information you have to keep in a locker to avoid unauthorized access. Using the Examination System you can create a question paper and everything will be written to a single exam file in encrypted format. You can set the General and Administrator password to avoid unauthorized access to your question paper. Every time you start the examination, the program shuffles all the questions and selects them randomly from the database, which reduces the chances of memorizing the questions.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Planning Of Procurement o different goods and services
Massive MIMO
1. Massive MIMO
Prepared by: Hassan Mohammed Hassan Aghbary
University of Aden, Faculty of Engineering
Republic of Yemen
University of Aden
Faculty of Engineering
Electronic and Communication Engineering
2. Acknowledgement
Thanks to Almighty ALLAH for giving me strength and ability to
understand learn and complete this seminar.
For the ancestors who paved the path before me upon whose shoulders
I stand. This is also dedicated to my family especially my father and the many
friends who supported me on this journey. Thank you.
3. What is Massive MIMO?
MIMO (Multiple Input Multiple Output) is an antenna technology for wireless
communications in which multiple antennas are used at both the source
(transmitter) and the destination (receiver) to improve spectral and energy
efficiency.
Figure 1 block diagram
4. Forms of single / multiple antenna are defined as below:
SISO - Single Input Single Output
Figure 2 SISO - Single Input Single Output
SIMO – Single Input Multiple Output
Figure 3 SIMO - Single Input Multiple Output
MISO – Multiple Input Single Output
MIMO – Multiple Input Multiple Output
Figure 4 MISO - Multiple Input Single Output
Figure 5 MIMO - Multiple Input Multiple Output
5. Single User MIMO Vs Multi User MIMO:
SU-MIMO (Single User MIMO)
Transmits multiple streams using multiple antennas and all the streams are directed to single
device. This is referred as Single user MIMO (All streams to one user).
Figure 6 Single User MIMO
6. MU-MIMO (Multi User MIMO)
allows to communicate with multiple devices simultaneously. This decreases the
time each device has to wait for a signal and dramatically speeds up your network.
Figure 7 Multi User MIMO
7. Benefits of Massive MIMO:
* High spectral and energy efficiency
* More signal path
* High reliability
* Boost capacity and coverage
* High data rate
* Large number of users are served simultaneously
* The techniques of beamforming when employed in massive MIMO
system helps in achieving extension of cell coverage
* The system with massive MIMO offer high QoS (Quality of Services)
* Help in supporting large number of subscriber per cell
8. Challenges of Massive MIMO:
* The hardware resources increase power requirements
* MIMO based systems cost higher compare to single antenna based system
due to increased hardware and advanced software requirements.