Pimrc2008 Presentation
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This is the ppt file that I used to give my talk at PIMRC 2008, that was held in Cannes on September 2008
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TSYS Research and Development.
20/9 Sardar Patel Road, Janaki Complex,
4th Floor, Adyar, Chennai - 20?
Tel : 91 44 42607879, 98411 03123.
Website : http://www.tsysglobalsolutions.com/
http://tsysphdsupport.com/
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Performance analysis of adaptive beamforming at receiver side by using lms an...
The Least Mean Squares (LMS) algorithm is an important member of the family of stochastic gradient algorithms. A significant feature of the LMS algorithm is its simplicity. The recursive least squares (RLS) algorithm recursively finds the filter coefficients for minimizing linear least squares cost function. Smart antenna generally refers to any antenna array. Beamforming is a signal processing technique used in sensor arrays for directional signal transmission or reception. This spatial selectivity is achieved by using adaptive or fixed receive/transmit beam patterns. The improvement compared with an omnidirectional reception/transmission is known as the receive/transmit gain (or loss). In this study, fixed weight beamforming basics and maximum signal to interference ratio are given. The theoretical information of adaptive beamforming, LMS (Least Mean Square) and RLS (Recursive Mean Squares) algorithms are explained. Adaptive beamforming in recieve antenna is simulated by using LMS and RLS algorithms. Simulation results are discussed and explained.
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Ieee transactions 2018 on wireless communications Title and Abstract
Ieee transactions 2018 on wireless communications Title and Abstract
IRJET - Energy Efficient Enhanced K-Means Cluster-Based Routing Protocol for WSN
IRJET - Energy Efficient Enhanced K-Means Cluster-Based Routing Protocol for WSN
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Performance evaluation of 2-port MIMO LTE-U terminal antenna with user’s hand...
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Bessel Companding Transform for reducing PAPR, OBI and BER in OFDM Systems
Abstract : Orthogonal Frequency division multiplexing (OFDM) is a very popular technique in wireless communications which provides excellent robustness to channel fading and immune to interference. OFDM is one of a popular modulation technique for transmitting large amounts of digital data over radio carriers. One of the major problems that had been observed in this is the Peak-To Average power Ratio (PAPR). PAPR is a distortion that had occurred due to large number of sub carriers that are used in OFDM for modulating the digital data. Many techniques were available to reduce the PAPR in OFDM systems, among them the companding technique can be used to enhance the OFDM transmission performance by decreasing the PAPR effectively and hence BER. Here we proposed “Bessel Companding Algorithm” to reduce this significant drawback in OFDM Systems. Keywords : Orthogonal Frequency Division Multiplexing (OFDM), peak to average power ratio (PAPR), bit error rate (BER), Out Band Interference (OBI), Additive White Gaussian Noise (AWGN), Bessel Companding Algorithm, Quadrature Amplitude Modulation (QAM) and Multi Carrier Modulation (MCM).
Tianqing su, papr
This document discusses techniques for reducing peak-to-average power ratio (PAPR) in orthogonal frequency-division multiplexing (OFDM) systems. It begins with an introduction to OFDM and the PAPR problem. It then describes several common PAPR reduction techniques, including clipping, peak windowing, selected mapping, and partial transmit sequence. It compares the performance of these techniques and discusses tradeoffs between power increase, complexity, data rate loss, and other factors. The document concludes that no single technique is best for all systems and the compatibility, efficiency, complexity, and other impacts must be considered when choosing a PAPR reduction method.
Hybrid approach to solve the problem of papr in ofdm signal a survey
“Orthogonal frequency division multiplexing
method used to achieve the today’s need of wireless communication
3GPP Association for the use of LTE. The
higher data rate, higher bit rate, mitigated delay spread, lower multipath distortion,
OFDM system has few major issues associated with
ratio (PAPR)” associated with the signal.
interleaved OFDM, selective mapping (SLM)
windowing, clipping, filtering, tone rejection(TR), tone injection(TI), compandin
Joint SLM and Modified Clipping Technique for PAPR Reduction
Slides from presentation at International Bhurbhan Conference on Applied Science and Technology (IBCAST 2016)
papr-presentation
This document proposes a method to reduce peak-to-average power ratio (PAPR) in orthogonal frequency-division multiplexing (OFDM) systems using high PAPR sequence scrambling. It uses an array of scramblers to change high PAPR sequences into lower PAPR sequences. Scrambling stops once the PAPR goes below a threshold, reducing complexity compared to conventional selective mapping. Simulation results show the method reduces PAPR over 4dB and most sequences require few or no scramblers. It provides a complexity-reduction tradeoff by selecting the scrambler array size and threshold value.
PAPR Reduction
The document discusses reducing peak-to-average power ratio (PAPR) in multi-carrier communication systems. PAPR reduction is important because high peak powers can cause signal distortion. The document is authored by Simon Litsyn from the Department of Electrical Engineering at Tel Aviv University and focuses on techniques for PAPR reduction in multi-carrier systems. It includes graphs and equations related to analyzing and reducing PAPR.
An Overview : Peak to Average Power Ratio (PAPR) in OFDM system using some ne...
An Overview : Peak to Average Power Ratio (PAPR) in OFDM system using some new PAPR techniques (with matlab code)
By
Zainab Saad Hadi AL-Hashemi
A graduate of University of Baghdad, College of Engineering Electronic & Communications Engineering Department
Design Ofdm System And Remove Nonlinear Distortion In OFDM Signal At Transmit...
although OFDM seems to be a solution to keep up with
the demand of increasing data rates, it has some drawbacks.
Sensitivity to high PAPR is the most significant of these
drawbacks. The main objective of this paper was to investigate
and document the effects of PAPR on the performance of OFDM
based digital communications under different channel conditions.
A step-by-step approach was adopted in order to achieve the
objective of this paper. The first step is to provide a basic
background on the principles of OFDM. The reasons for the
PAPR and a theoretical analysis of these effects on OFDM
systems are documented. The OFDM system has a high peak-toaverage
power ratio (PAPR) that can cause unwanted saturation
in the power amplifiers, leading to in-band distortion and out-ofband
radiation. To be able to observe the system behavior, the
simulation results for different channel models are presented in
graphical form. Next, the simulation results obtained in this work
are compared to the simulation results reported in related studies
Ofdm
OFDM (Orthogonal Frequency Division Multiplexing) is a method of encoding digital data on multiple carrier frequencies. It distributes data over a large number of carriers that are spaced apart to prevent interference. There are different types of OFDM including COFDM, MIMO-OFDM, V-OFDM, W-OFDM, and Flash-OFDM. OFDM has applications in digital audio/video broadcasting, ADSL, wireless networking, and power-line technology. It offers benefits over other multiplexing techniques like WDM and TDM such as higher bandwidth efficiency and flexibility.
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Bessel Companding Transform for reducing PAPR, OBI and BER in OFDM Systems
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Joint SLM and Modified Clipping Technique for PAPR Reduction
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M0111397100
This document analyzes the performance of various modulation schemes for achieving energy efficient communication over fading channels in wireless sensor networks. It finds that for long transmission distances, low-order modulations like BPSK are optimal due to their lower SNR requirements. However, as transmission distance decreases, higher-order modulations like 16-QAM and 64-QAM become more optimal since they can transmit more bits per symbol, outweighing their higher SNR needs. Simulations show lifetime extensions up to 550% are possible in short-range networks by using higher-order modulations instead of just BPSK. The optimal modulation depends on transmission distance and balancing the energy used by electronic components versus power amplifiers.
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This document analyzes the performance of a full duplex self-backhauling cellular network. It proposes a system where small cells can backhaul themselves using in-band full duplex communications with macro cells. It develops an analytical framework to model this network and evaluate key metrics like coverage probability and achievable rates. The results show that while self-backhauling can double average rates, it reduces coverage due to increased inter-tier interference between macro and small cells when reusing spectrum. Overall bandwidth allocation and interference management are identified as bottlenecks for this architecture.
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This document proposes a new power allocation method for non-orthogonal multiple access (NOMA) systems like interleave division multiple access (IDMA). The method uses forward error correction (FEC) code rates to determine the optimal number of users per power level group. Simulation results show that each FEC code can support a limited number (kmax) of equal power users before bit error rate (BER) degrades. The proposed method divides users into groups sized up to but not exceeding kmax. It aims to minimize total transmit power while maintaining a target BER, by finding the minimum required power ratio between groups. Results show the method outperforms conventional techniques with complex computations.
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1) The document investigates the impact of max-min fairness power control on the performance of cell-free massive MIMO (CF-mMIMO) networks and small-cell mMIMO (SC-mMIMO) networks.
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This paper addresses the maximizing network lifetime problem in wireless sensor networks (WSNs) taking
into account the total Symbol Error rate (SER) at destination. Therefore, efficient power management is
needed for extend network lifetime. Our approach consists to provide the optimal transmission power
using the orthogonal multiple access channels between each sensor. In order to deeply study the
properties of our approach, firstly, the simple case is considered; the information sensed by the source
node passes by a single relay before reaching the destination node. Secondly, global case is studied; the
information passes by several relays. We consider, in the previous both cases, that the batteries are nonrechargeable. Thirdly, we spread our work the case where the batteries are rechargeable with unlimited
storage capacity. In all three cases, we suppose that Maximum Ratio Combining (MRC) is used as a
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our approach which the network lifetime is extended of more than 70.72%when the batteries are non
rechargeable and 100.51% when the batteries are rechargeable in comparison with other traditional
method.
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...
This paper addresses the maximizing network lifetime problem in wireless sensor networks (WSNs) taking
into account the total Symbol Error rate (SER) at destination. Therefore, efficient power management is
needed for extend network lifetime. Our approach consists to provide the optimal transmission power
using the orthogonal multiple access channels between each sensor. In order to deeply study the
properties of our approach, firstly, the simple case is considered; the information sensed by the source
node passes by a single relay before reaching the destination node. Secondly, global case is studied; the
information passes by several relays. We consider, in the previous both cases, that the batteries are nonrechargeable. Thirdly, we spread our work the case where the batteries are rechargeable with unlimited
storage capacity. In all three cases, we suppose that Maximum Ratio Combining (MRC) is used as a
detector, and Amplify and Forward (AF) as a relaying strategy. Simulation results show the viability of
our approach which the network lifetime is extended of more than 70.72%when the batteries are non
rechargeable and 100.51% when the batteries are rechargeable in comparison with other traditional
method.
Be35317323
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
O N THE E VALUATION OF G MSK S CHEME W ITH ECC T ECHNIQUES IN W IRELESS S...
Wireless sensor nodes are powered by batteries, for
which replacement is very difficult. That is why,
optimization of energy consumption is a major objec
tive in the area of wireless sensor networks (WSNs)
.On
the other hand, noisy channel has a prominent influ
ence on the reliability of data transmission. There
fore,
an energy efficient transmission strategy should be
considered on the communication process of wireles
s
nodes in order to obtain optimal energy network con
sumption. Indeed, the choice of suitable modulation
format with the proper Error Correcting code (ECC)
played a great responsibility to obtain better ener
gy
conservation.In this work, we aim to evaluate the p
erformance analysis of Gaussian Minimum Shift Keyin
g
(GMSK) modulation with several combinations of codi
ng strategies using various analysis metrics such a
s
Bit Error Rate (BER), energy consumption.Through ex
tensive simulation, we disclose that he gain achiev
ed
through GMSK modulation with suitable channel codin
g mechanism is promising to obtain reliable
communication and energy conservation in WSN.
Energy Efficient E-BMA Protocol for Wireless Sensor Networks
This document proposes a new energy efficient MAC protocol called E-BMA for wireless sensor networks. It aims to minimize idle times during contention periods to improve energy efficiency, especially for low to medium traffic loads. The E-BMA protocol is simulated and its energy consumption is compared to TDMA, EA-TDMA, and BMA protocols. The results show that E-BMA performs better and consumes less energy than the other protocols under different traffic conditions.
Energy Efficient E-BMA Protocol for Wireless Sensor Networks
This document proposes a new energy efficient MAC protocol called E-BMA for wireless sensor networks. It aims to minimize idle times during contention periods to improve energy efficiency, especially for low to medium traffic loads. The E-BMA protocol is simulated and its energy consumption is compared to TDMA, EA-TDMA, and BMA protocols. The results show that E-BMA performs better and consumes less energy than the other protocols under different traffic conditions.
Energy Efficient E-BMA Protocol for Wireless Sensor Networks
This document proposes a new energy efficient MAC protocol called E-BMA for wireless sensor networks. It aims to minimize idle times during contention periods to improve energy efficiency, especially for low to medium traffic loads. The E-BMA protocol is simulated and its energy consumption is compared to TDMA, EA-TDMA, and BMA protocols. The results show that E-BMA performs better and consumes less energy than the other protocols under different traffic conditions.
Energy Efficient E-BMA Protocol for Wireless Sensor Networks
Recent advancement in wireless communication has enabled the development of low-cost sensor
networks. The sensor networks can be used for various application areas (such as health, military, home and
etc.,). In earlier research, an energy-efficient cluster-based adaptive time-division multiple access (TDMA)
medium-access-control (MAC) protocol, named EA-TDMA, has been developed. In this work, a new protocol,
named E-BMA, which achieves even better energy efficiency for low and medium traffic by minimizing the idle
time during the contention period has been proposed. Simulation results for the energy consumption of TDMA,
EA-TDMA, BMA, and E-BMA have been presented to demonstrate the superiority of the E-BMA protocols
K016136062
This document proposes a new energy efficient MAC protocol called E-BMA for wireless sensor networks. It aims to minimize idle times during contention periods to improve energy efficiency, especially for low to medium traffic loads. The E-BMA protocol is simulated and its energy consumption is compared to TDMA, EA-TDMA, and BMA protocols. The results show that E-BMA performs better and consumes less energy than the other protocols under different traffic conditions.
ICICCE0301
1. The document proposes an energy efficiency optimization power allocation (EEOPA) algorithm for multiuser multiple-input multiple-output (MU-MIMO) systems to improve energy efficiency.
2. In existing TDD MU-MIMO systems, high bit error rates result from imperfect channel state information. The proposed EEOPA algorithm aims to address this by optimizing power allocation.
3. The algorithm involves using quadrature amplitude modulation (QAM) and adapting the modulation scheme based on channel quality measurements to improve energy efficiency while maintaining low bit error rates. Simulation results show the algorithm can calculate SNR and BER to validate the energy efficiency gains.
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The document compares resource allocation algorithms for OFDMA wireless systems. It discusses dynamic sub-channel assignment and adaptive power allocation algorithms. The algorithms are evaluated based on parameters like Jain's Fairness Index, sum capacity, and capacity distribution among users. Resource allocation algorithms aim to optimize margin and rate by assigning subcarriers and power levels to users in an OFDMA system.
Investigation of the performance of multi-input multi-output detectors based...
The next generation of wireless cellular communication networks must be energy efficient, extremely reliable, and have low latency, leading to the necessity of using algorithms based on deep neural networks (DNN) which have better bit error rate (BER) or symbol error rate (SER) performance than traditional complex multi-antenna or multi-input multi-output (MIMO) detectors. This paper examines deep neural networks and deep iterative detectors such as OAMP-Net based on information theory criteria such as maximum correntropy criterion (MCC) for the implementation of MIMO detectors in non-Gaussian environments, and the results illustrate that the proposed method has better BER or SER performance.
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This document summarizes a research paper that proposes a low complexity orthogonal frequency division multiple access (OFDMA)-based non-orthogonal multiple access (NOMA) system called successive bandwidth division (SBD)-NOMA. The key aspects are:
1) SBD-NOMA divides users among orthogonal sub-bands to reduce interference and receiver complexity compared to conventional NOMA.
2) Power allocation is performed across sub-bands to maximize the sum rate while ensuring proportional fairness among users.
3) Simulation results are provided to evaluate the performance of SBD-NOMA and compare it to other approaches.
Benefiting wireless power transfer scheme in power domain based multiple acce...
Power domain based multiple access scheme is introduced in this paper, namely Non-orthogonal multiple-access (NOMA). We deploy a wireless network using NOMA together with a wireless power transfer (WPT) scheme for dedicated user over Nakagami-$m$ fading channel. When combined, these promising techniques (NOMA and WPT) improve the system performance in term of ergodic performance at reasonable coefficient of harvested power. However, fixed power allocation factors for each NOMA user can be adjusted at the base station and it further provide performance improvement. We design a new signal frame to deploy a NOMA scheme in WPT which adopts a linear energy harvesting model. The ergodic capacity in such a NOMA network and power allocation factors can be updated frequently in order to achieve a fair distribution among NOMA users. The exact expressions of ergodic capacity for each user is derived. The simulation results show that an agreement between analytic performance and Monte-Carlo simulation can be achieved.
PSO-CCO_MIMO-SA: A particle swarm optimization based channel capacity optimza...
With the radio channels physical limits, achieving higher data rate in the multi-channel systems is been a biggest concern. Hence, various spatial domain techniques have been introduced by incorporating array of antenna elements (i.e., smart antenna) in recent past for the channel limit expansion in mobile communication antennas. These smart antennas help to yield the improved array gain or bearm forming gain and hence by power efficiency enhanmaent in the channel and antenna range expansion. The use of smart antenna leads to spatial diversity and minimizes the fading effect and improves link reliability. However, in the process of antenna design, the proper channel modelling is is biggest concern which affect the wireless system performance. The recent works of MIMO design systems have discussed the issues in number of antenna selection which suggests that optimization of MIMO channel capacity is required. Hence, a Particle Swarm Optimization based channel capacity optimzation for MIMO system incorporated with smart antenna is introduced in this paper. From the outcomes it is been found that the proposed PSO based MIMO system achieves better convergenece speed which results in better channel capacity.
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Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
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Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
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The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
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Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
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Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
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Neha Bajwa, Vice President of Product Marketing, Neo4j
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Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
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Pimrc2008 Presentation
- 1. Energy-Efficient Power Control in Multipath CDMA Channels via Large System Analysis Stefano Buzzi 1 , Valeria Massaro 1 , and H. Vincent Poor 2 1 Università degli Studi di Cassino, Italy 2 Princeton University, USA
- 8. Large System Analysis (Evans & Tse, IEEE IT, September ‘00) Stefano Buzzi Neglecting ISI, the k-th user SINR for the MMSE converges in probability to as K , N , with their ratio fixed.
- 9. Power control via LSA Stefano Buzzi Assume that all the users are to achieve the same target SINR; then we have Including this constraint in the SINR expression above and solving for P R we have can be unbounded!!!
- 10. Utility vs. Number of Users Stefano Buzzi N=128 L=2, 4 B=100 Users with random locations, 10 to 1000m distance from the AP.
- 12. Network performance prediction Stefano Buzzi Given the PC equation and … We thus obtain the utility and power profile of the network.
- 13. Utility and Power Profile Stefano Buzzi N=128 K=120 L=4 B=100 Users with random locations, 10 to 1000m distance from the AP.
- 15. Comparison of linear MUD Stefano Buzzi N=128 L=3
- 17. Utility vs. Training Length Stefano Buzzi N=128 B=120
- 18. Power-constrained system Stefano Buzzi Given the PC equation and compare with P max ; an estimate, u2, of the number of users transmitting at Pmax is built. These will be the users with the smallest channel coefficients…
- 19. Power-constrained power control Stefano Buzzi The k-th user SINR solves the equation Assume now P k =P R , so that Equal all this to the target SINR and solve for P k
- 20. LSA-based power control Stefano Buzzi Once P k has been found, we finally have
- 21. Utility and Power Profile Stefano Buzzi
- 23. THANK YOU! Stefano Buzzi University of Cassino ITALY [email_address]