Design of Network Coding Schemes in Wireless Networks

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A01=Zihuai Lin
advanced wireless network code design
Author_Zihuai Lin
AWGN Channel
Category=UTW
Channels
Check Node
Convolutional Code
Convolutional Encoder
Destination Node
distributed coding techniques
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error correction algorithms
Fading Channels
Finite Field
Forwarding
graduate level resource optimization
High Rate Codes
information theory applications
Instantaneous SNR
Iterative Decoding
Lattice Codes
LDGM codes
LDPC Code
Lossy Networks
Lower Rate Code
Maximizes Network Reliability
MLSD
multi-access relay systems
Native Packet
Nested Codes
Network Coding
Outage Probability
Parent Code
Parity Check Matrix
Received Packets
Relay Channels
Relay Networks
Relay Networks/Channels
Relay NetworksChannels
RN
Sink Node
Soft Information
Source Node
wireless communication theory

Product details

  • ISBN 9781032067766
  • Weight: 470g
  • Dimensions: 156 x 234mm
  • Publication Date: 23 Jun 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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This book provides a consolidated view of the various network coding techniques to be implemented at the design of the wireless networks for improving its overall performance. It covers multiple sources communicating with multiple destinations via a common relay followed by network coded modulation schemes for multiple access relay channels. Performance of the distributed systems based on distributed convolutional codes with network coded modulation is covered including a two-way relay channel (TWRC). Two MIF protocols are proposed including derivation of signal-to-noise ratio (SNR) and development of threshold of the channel conditions of both.

Features:

  • Systematically investigates coding and modulation for wireless relay networks.
  • Discusses how to apply lattice codes in implementing lossless communications and lossy source coding over a network.
  • Focusses on theoretical approach for performance optimization.
  • Includes various network coding strategies for different networks.
  • Reviews relevant existing and ongoing research in optimization along with practical code design.

This book aims at Researchers, Professionals and Graduate students in Networking, Communications, Information, Coding Theory, Theoretical Computer Science, Performance Analysis and Resource Optimization, Applied Discrete Mathematics, and Applied Probability.

Zihuai Lin received the Ph.D. degree in Electrical Engineering from Chalmers University of Technology, Sweden, in 2006. Prior to this he has held positions at Ericsson Research, Stockholm, Sweden. Following Ph.D. graduation, he worked as a Research Associate Professor at Aalborg University, Denmark. At the same time, he worked at the Nokia Siemens Networks research center as an external senior researcher on 4G LTE standardization. He is currently a senior lecturer at the School of Electrical and Information Engineering, the University of Sydney, Australia. He has published more than 200 papers in international conferences and journals, which have been cited more than 2500 times. He holds twelve CN, three US, and one AU patents on LTE system design, distributed network coding and wireless sensor networks, microwave Ghost imaging, indoor localization, and ECG/EEG AI data analysis. His research interests include source/channel/network coding, coded modulation, massive MIMO, mmWave/THz communications, radio resource management, cooperative communications, small-cell networks, 5G/6G, IoT, wireless Artificial Intelligence (AI), ECG and EEG AI signal analysis, Radar imaging, etc.

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