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Iterative Decoding and Detection for Physical Layer Network Coding

Iterative Decoding and Detection for Physical Layer Network Coding PDF Author: Alaa Abdulameer Saeed Al-Rubaie
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description


Iterative Decoding and Detection for Physical Layer Network Coding

Iterative Decoding and Detection for Physical Layer Network Coding PDF Author: Alaa Abdulameer Saeed Al-Rubaie
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description


Iterative Decoding Combined with Physical-layer Network Coding on Impulsive Noise Channels

Iterative Decoding Combined with Physical-layer Network Coding on Impulsive Noise Channels PDF Author: Yuanyi Zhao
Publisher:
ISBN:
Category :
Languages : en
Pages : 153

Book Description


A Primer on Physical-Layer Network Coding

A Primer on Physical-Layer Network Coding PDF Author: Soung Liew
Publisher: Springer Nature
ISBN: 3031792696
Category : Computers
Languages : en
Pages : 202

Book Description
The concept of physical-layer network coding (PNC) was proposed in 2006 for application in wireless networks. Since then it has developed into a subfield of communications and networking with a wide following. This book is a primer on PNC. It is the outcome of a set of lecture notes for a course for beginning graduate students at The Chinese University of Hong Kong. The target audience is expected to have some prior background knowledge in communication theory and wireless communications, but not working knowledge at the research level. Indeed, a goal of this book/course is to allow the reader to gain a deeper appreciation of the various nuances of wireless communications and networking by focusing on problems arising from the study of PNC. Specifically, we introduce the tools and techniques needed to solve problems in PNC, and many of these tools and techniques are drawn from the more general disciplines of signal processing, communications, and networking: PNC is used as a pivot to learn about the fundamentals of signal processing techniques and wireless communications in general. We feel that such a problem-centric approach will give the reader a more in-depth understanding of these disciplines and allow him/her to see first-hand how the techniques of these disciplines can be applied to solve real research problems. As a primer, this book does not cover many advanced materials related to PNC. PNC is an active research field and many new results will no doubt be forthcoming in the near future. We believe that this book will provide a good contextual framework for the interpretation of these advanced results should the reader decide to probe further into the field of PNC.

Iterative Joint Detection in Coordinated Network Coding for Next Generation of Communication Systems

Iterative Joint Detection in Coordinated Network Coding for Next Generation of Communication Systems PDF Author: Nazli Ahmad Khan Beigi
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description
The ubiquitous wireless networks in the next generation of communication systems have motivated advanced techniques with diverse ranges of connectivity, coverage, reliability, and throughput. The massive connectivity in the context of the heterogenous networks has conveyed to different sorts of challenges including inter-cell and intra-cell originated interferences. The complications aggravate due to the sporadic nature of the traffic generated by large-scale and low-powered networks over limited spectrum resources. In this thesis, different techniques in enhancing the reliability, as well as spectral and power efficiency in the future generations of the multi-point communication networks have been investigated. Our proposed schemes are based on the coordination of the transmitters in sharing the source information followed by the joint transmission and the iterative detection. in the context of the cooperative source and channel coding. The Non-Orthogonal Multiple Access (NOMA), Coordinated Multi-Point (CoMP) transmission and the Iterative Joint Detection and Decoding (IJDD) receivers are the frameworks that we have used to validate our proposed improvements. We have initially investigated the cooperative NOMA as the physical layer network coding scheme in the downlink of wireless communication systems. It is proposed to benefit from the so-called interference received from adjacent cells instead of ignoring or cancelling them, as in the state-of-the-art systems. The application of cooperative NOMA is evaluated in a system-level information theoretic framework to optimize the user-pairing strategy. The results show the cell edges with the strongest interference are the optimal vicinity for the NOMA applications. Further, we have evaluated the NOMA for the uplink in the dense Internet of Things (IoT) systems, where the sensor elements observe the correlated sources. Realizing that the separation of source coding from channel coding in NOMA systems with correlated sources is suboptimal, we propose our scheme based on the cooperative source and channel coding. The transmitters are assumed to be privy to the whole data through a high-rate and low-latency background connection. The cooperative source coding is then followed by the transmission over the non-orthogonal multiple access (NOMA) channel. As the transmit signals experience different delay-spreads through the channel, the data streams are received asynchronously, resulting in inter-symbol interference (ISI) at the receiver. We show that the correlated nature of the asynchronous channels can be exploited as the extra source of information, provided that a proper detection technique is adopted. The capacity region is developed, where the sum-rate exceeds that of the synchronous NOMA. The potency of the successive interference cancellation (SIC) receivers, as the main block in NOMA receivers, is investigated. By applying water-filling and geometric power allocation, we show that the NOMA performance degradation in asynchronous channels is caused by the nature of SIC. We have proposed our iterative joint detection and decoding (IJDD) receiver that outperforms SIC in asynchronous NOMA receivers. Moreover, we have addressed two key challenges in Coordinated Multi-point (CoMP) networks. The asynchronous downlink and imperfect channel state information (CSI) are jointly considered in an information theoretical framework. We assume delays from the Transmission and Reception Points (TRP) to the target user, in general, may exceed cyclic prefix (CP) length, causing symbol-asynchronous reception at the receiver. We characterize an accurate mathematical model for the asynchronous Rayleigh fading channel with imperfect CSI for multi-TRP schemes. We have derived the capacity region for asynchronous CoMP systems and have generalized it to the multi-TRP schemes. We propose a low-complexity iterative detection scheme targeting minimizing the mean square error (MMSE) in our asynchronous fading channel model. Finally, we have associated the coordinated multi-point transmission with NOMA methodology. We have considered the downlink CoMP in a Single-Frequency Network (SFN) of Digital Terrestrial Television (DTT) broadcasting network. The coordinated transmit signals are assumed to have embedded Layered-Division Multiplexing (LDM) to enhance the coverage, reliability, and spectral efficiency in multi-content broadcasting. We have extended the MMSE-IJDD receiver to higher order modulation formats and have evaluated the order of the computational complexity for our proposed receiver to be in a decent range. Our extensive simulations validate the proposed scheme providing a considerable boost in the channel reliability, while enhancing the spectral and power efficiency, even as the number of TRPs increases.

Channel Estimation for Physical Layer Network Coding Systems

Channel Estimation for Physical Layer Network Coding Systems PDF Author: Feifei Gao
Publisher: Springer
ISBN: 3319116681
Category : Computers
Languages : en
Pages : 85

Book Description
This SpringerBrief presents channel estimation strategies for the physical later network coding (PLNC) systems. Along with a review of PLNC architectures, this brief examines new challenges brought by the special structure of bi-directional two-hop transmissions that are different from the traditional point-to-point systems and unidirectional relay systems. The authors discuss the channel estimation strategies over typical fading scenarios, including frequency flat fading, frequency selective fading and time selective fading, as well as future research directions. Chapters explore the performance of the channel estimation strategy and optimal structure of training sequences for each scenario. Besides the analysis of channel estimation strategies, the book also points out the necessity of revisiting other signal processing issues for the PLNC system. Channel Estimation of Physical Layer Network Coding Systems is a valuable resource for researchers and professionals working in wireless communications and networks. Advanced-level students studying computer science and electrical engineering will also find the content helpful.

Wireless Physical Layer Network Coding

Wireless Physical Layer Network Coding PDF Author: Jan Sykora
Publisher:
ISBN: 1107096111
Category : Computers
Languages : en
Pages : 337

Book Description
Discover a new, network-aware coding strategy that uses existing signal interactions to enhance network efficiency, capacity and security.

Iterative Decoding for Trellis Based Codes in Wireless Communications

Iterative Decoding for Trellis Based Codes in Wireless Communications PDF Author: Huijun Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 240

Book Description
Abstract: In this dissertation, we focus on three issues of the trellis based iterative decoding: First, the complexity issue of Turbo code is considered. We propose a constrained iterative decoder to reduce the decoding complexity. An additional interleaver is introduced at the encoder. At the decoder, we first use Cyclic Redundance Code (CRC) to detect which bits are already correctly decoded during early iterations. With knowledge of the positions of these correct bits, the constrained decoding algorithm is designed to reduce the number of the state transitions in the component code trellis and help the decoding of other bits in later iterations. In this way, the constrained iterative decoder achieves significant complexity reduction and still satisfying performance. Second, the iterative decoding algorithm is redesigned for Turbo code implemented Distributed Source Coding (DSC). When used in DSC, the Turbo decoder encounters a combined Binary Symmetric Channel (BSC) and Addictive White Gaussian Noise (AWGN) distortion. The existing iterative decoding algorithm based on AWGN distortion assumption causes performance degradation. By redefining the channel reliability values, the modified iterative decoding algorithm matches the BSC-AWGN scenario well and improves the performance. Third, we propose a reliable source transmission coding and decoding scheme. A serially concatenated source and space time modulated coding structure is used. Variable Length Code (VLC) with error resilient capability is adopted at the application layer. Space Time Trellis Code (STTC) is used to provide high bandwidth efficiency at the physical layer. An iterative joint source space time decoder is designed including the symbol level space time Maximum A Posteriori (MAP) decoder, the bit level VLC MAP decoder and the Viterbi VLC decoder. Critical issues such as STTC MAP algorithm with nonseparable systematic information, VLC MAP algorithm in absence of channel output, VLC Viterbi algorithm based on the bit level trellis and extrinsic information conversion and exchange between bit domain and symbol domain are addressed. The decoding performance of different frame sizes and different component VLCs and STTCs, the rate allocation between the source code and the space time code and the performance in presence of channel estimation errors are discussed in this dissertation.

Wireless Physical Layer Network Coding

Wireless Physical Layer Network Coding PDF Author: Jan Sykora
Publisher: Cambridge University Press
ISBN: 1108652875
Category : Technology & Engineering
Languages : en
Pages : 338

Book Description
Discover a fresh approach for designing more efficient and cooperative wireless communications networks with this systematic guide. Covering everything from fundamental theory to current research topics, leading researchers describe a new, network-aware coding strategy that exploits the signal interactions that occur in dense wireless networks directly at the waveform level. Using an easy-to-follow, layered structure, this unique text begins with a gentle introduction for those new to the subject, before moving on to explain key information-theoretic principles and establish a consistent framework for wireless physical layer network coding (WPNC) strategies. It provides a detailed treatment of Network Coded Modulation, covers a range of WPNC techniques such as Noisy Network Coding, Compute and Forward, and Hierarchical Decode and Forward, and explains how WPNC can be applied to parametric fading channels, frequency selective channels, and complex stochastic networks. This is essential reading whether you are a researcher, graduate student, or professional engineer.

Detection Algorithms for Wireless Communications

Detection Algorithms for Wireless Communications PDF Author: Gianluigi Ferrari
Publisher: John Wiley & Sons
ISBN: 047085829X
Category : Technology & Engineering
Languages : en
Pages : 426

Book Description
Wireless channels are becoming more and more important, with the future development of wireless ad-hoc networks and the integration of mobile and satellite communications. To this end, algorithmic detection aspects (involved in the physical layer) will become fundamental in the design of a communication system. This book proposes a unified approach to detection for stochastic channels, with particular attention to wireless channels. The core idea is to show that the three main criteria of sequence detection, symbol detection and graph-based detection, can all be described within a general framework. This implies that a detection algorithm based on one criterion can be extended to the other criteria in a systematic manner. Presents a detailed analysis of statistical signal detection for digital signals transmitted over wireless communications Provides a unifying framework for different signal detection algorithms, such as sequence detection, symbol detection and graph-based detection, important for the design of modern digital receivers operating over mobile channels Features the hot topic of graph-based detection Detection Algorithms for Wireless Communications represents a novel contribution with respect to the current literature, with a unique focus on detection algorithms, as such it will prove invaluable to researchers working in academia and industry and in the field of wireless communications, as well as postgraduate students attending advanced courses on mobile communications.

Parameter Estimation and Tracking in Physical Layer Network Coding

Parameter Estimation and Tracking in Physical Layer Network Coding PDF Author: Manish Jain
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
Recently, there has been a growing interest in improving the performance of the wireless relay networks through the use of Physical Layer Network Coding (PLNC) techniques. The physical layer network coding technique allows two terminals to transmit simultaneously to a relay node and decode the modulo-2 sum of the transmitted bits at the relay. This technique considerably improves performance over Digital Network Coding technique. In this thesis, we will present an algorithm for joint decoding of the modulo-2 sum of bits transmitted from two unsynchronized transmitters at the relay. We shall also address the problems that arise when boundaries of the signals do not align with each other and when the channel parameters are slowly varying and are unknown to the receiver at the relay node. Our approach will first jointly estimate the timing o sets and fading gains of both signals using a known pilot sequence sent by both transmitters in the beginning of the packet and then perform Maximum Likelihood detection of data using a state-based Viterbi decoding scheme that takes into account the timing o sets between the interfering signals. We shall present an algorithm for simultaneously tracking the amplitude and phase of slowly varying wireless channel that will work in conjunction our Maximum Likelihood detection algorithm. Finally, we shall provide extension of our receiver to support antenna diversity. Our results show that the proposed detection algorithm works reasonably well, even with the assumption of timing misalignment. We also demonstrate that the performance of the algorithm is not degraded by amplitude and/or phase mismatch between the users. We further show that the performance of the channel tracking algorithm is close to the ideal case i.e. when the channel estimates are perfectly known. Finally, we demonstrate the performance boost provided by the receiver antenna diversity.