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E-raamat: Design of Network Coding Schemes in Wireless Networks [Taylor & Francis e-raamat]

(University of Sydney, Australia)
  • Formaat: 166 pages, 7 Tables, black and white; 48 Line drawings, black and white; 48 Illustrations, black and white
  • Ilmumisaeg: 23-Jun-2022
  • Kirjastus: CRC Press
  • ISBN-13: 9781003203803
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  • Taylor & Francis e-raamat
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Design of Network Coding Schemes in Wireless NetworksSuurem pilt
  • Formaat: 166 pages, 7 Tables, black and white; 48 Line drawings, black and white; 48 Illustrations, black and white
  • Ilmumisaeg: 23-Jun-2022
  • Kirjastus: CRC Press
  • ISBN-13: 9781003203803
Teised raamatud teemal:
Taylor & Francis e-raamatudRohkem infot Taylor & Francis e-raamatute kohta
Raamatu kodulehekülg: https://www.taylorfrancis.com/books/9781003203803
"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, and reviews relevant existing and ongoing research in optimization along with practical code design. This book targets 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"--

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.
List of Figures
ix
List of Tables
xiii
Acknowledgments xv
Acronyms xvii
Author Biography xxi
Chapter 1 Introduction
1(24)
1.1 Physical Layer Lattice Network Coding and Soft Information Delivery
2(3)
1.1.1 Lattice coding
2(1)
1.1.2 PNC soft information and delivery
2(3)
1.2 Network Layer Network coding schemes
5(9)
1.2.1 XOR network coding
5(1)
1.2.2 Linear network coding
5(1)
1.2.2.1 Random linear network coding
5(1)
1.2.2.2 Distributed random linear network coding
6(1)
1.2.3 Benefits made by network coding
6(1)
1.2.3.1 Bandwidth efficiency
6(1)
1.2.3.2 The basic idea
7(1)
1.2.3.3 Other traffic configurations
8(1)
1.2.3.4 Undirected networks
8(1)
1.2.4 Energy efficiency
8(1)
1.2.4.1 Multicast
9(1)
1.2.4.2 Other traffic configurations
9(1)
1.2.5 Delay performance
9(1)
1.2.5.1 The average delay
10(1)
1.2.5.2 Delay distribution
10(1)
1.2.6 Reliability
11(1)
1.2.6.1 Retransmissions and network coding
11(2)
1.2.6.2 Combination of routing and network coding
13(1)
1.3 Network coding design challenges
14(1)
1.4 Organization of the Book
14(11)
Chapter 2 Wireless Network Coded Systems for Multiple Interpretations
25(22)
2.1 Introduction
25(1)
2.2 System Model
26(2)
2.3 Optimization formulation
28(1)
2.4 Analysis of the Average Channel Capacity
29(3)
2.5 Network Coded System based on Nested Codes
32(3)
2.5.1 Soft-Decision Decoding with Nested Codes
34(1)
2.6 Analytical Bounds on the Bit Error Probability
35(2)
2.7 Code Search
37(1)
2.8 Numerical and Simulation Results
38(6)
2.8.1 Average Channel Capacity and Outage Probability
38(4)
2.8.2 The Performance of OS
42(1)
2.8.3 The Performance of Nested Codes
43(1)
2.9 Conclusions
44(3)
Chapter 3 Distributed Network Coded Modulation Schemes for Multiple Access Relay Channels
47(20)
3.1 Introduction
47(1)
3.2 System Model
48(1)
3.3 Distributed Network Coded Modulation Schemes based on Punctured Convolutional Codes
48(9)
3.3.1 Decoding with Network Coded Modulation at the Destination Node
51(2)
3.3.2 Analytical bounds on the bit error probability for the multiple access relay channels
53(4)
3.4 Interleaved Distributed Network Coded Systems
57(2)
3.5 Simulation Results for Distributed Network Coded Systems
59(2)
3.5.1 Simulation results for Distributed Network Coded System without Interleaver
59(1)
3.5.2 Simulation results for Interleaved Distributed Network Coded System
60(1)
3.6 Summary
61(6)
Chapter 4 Lattice Network Coding for Multi-Way Relaying Systems
67(14)
4.1 Introduction
67(1)
4.2 System Model
68(2)
4.2.1 System Model
68(1)
4.2.2 Nested Convolutional Codes and Lattice Network Coding
68(2)
4.3 Nested Convolutional Lattice Network Codes
70(4)
4.4 Performance Analysis
74(3)
4.5 Numerical Simulation Results
77(1)
4.6 Conclusion
78(3)
Chapter 5 Nested LDGM-based Lattice Network Codes for Multi-Access Relaying Systems
81(22)
5.1 Introduction
81(1)
5.2 System Model
82(1)
5.3 Coding Process: Nested Binary LDGM Codes
83(3)
5.4 Coding Process: Nested Non-binary LDGM with Lattice
86(4)
5.5 L-EMS Decoding Algorithm
90(1)
5.6 Performance Analysis
91(2)
5.7 Code Optimization using Lattice based Monte Carlo Method
93(4)
5.8 Numerical and Simulation Results
97(3)
5.8.1 Lattice Settings
97(1)
5.8.2 Lattice-based Monte Carlo Method
97(1)
5.8.3 Performance for the Lattice-based EMS decoder
98(1)
5.8.4 Performance of the nested non-binary LDGM codes with lattice
99(1)
5.9 Conclusion
100(3)
Chapter 6 Design of Soft Network Coding for Two-Way Relay Channels
103(10)
6.1 Introduction
103(1)
6.2 System Model
104(2)
6.3 TCQ codebook Design
106(2)
6.4 Performance Analysis
108(2)
6.4.1 Set a threshold
108(1)
6.4.2 Performance Analysis on the Two schemes
109(1)
6.5 Simulation Results
110(2)
6.6 Conclusion
112(1)
Chapter 7 Linear Neighbor Network Coding
113(14)
7.1 Introduction
113(1)
7.2 System Model
114(1)
7.3 Theoretical Analysis
114(5)
7.3.1 Construction of the States
115(1)
7.3.2 Transition Matrices
115(2)
7.3.3 The State Vectors
117(1)
7.3.4 Reliability
118(1)
7.3.5 Networks without Network Coding
118(1)
7.4 Bounds on the Reliability
119(2)
7.4.1 The Upper Bound
119(1)
7.4.2 The Lower Bound
120(1)
7.5 Results and Discussion
121(3)
7.6 Conclusions
124(3)
Chapter 8 Random Neighbor Network Coding
127(16)
8.1 Introduction
127(1)
8.2 System model
127(1)
8.3 Theoretical analysis
128(6)
8.3.1 States
129(1)
8.3.2 Transition matrices
130(4)
8.3.3 Probability vector and the reliability
134(1)
8.4 Optimisations
134(1)
8.4.1 Optimize the reliability at an individual round
135(1)
8.4.2 Optimize the expected round to absorb
135(1)
8.5 Numerical results
135(6)
8.5.1 Validation of the theoretical analysis
136(1)
8.5.2 Optimal selection of the tuning parameter
136(3)
8.5.3 Examination on the reliability gain
139(1)
8.5.4 Comparison with the random linear network coding scheme
140(1)
8.6 Summary
141(2)
Index 143
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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