Advanced Wireless Communications and Internet: Future Evolving Technologies / Edition 3

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The new edition of Advanced Wireless Communications: 4G Cognitive and Cooperative Broadband Technology, 2nd Edition, including the latest developments

In the evolution of wireless communications, the dominant challenges are in the areas of networking and their integration with the Future Internet. Even the classical concept of cellular networks is changing and new technologies are evolving to replace it. To reflect these new trends,Advanced Wireless Communications & INTERNET builds upon the previous volumes, enhancing the existing chapters, and including a number of new topics. Systematically guiding readers from the fundamentals through to advanced areas, each chapter begins with an introductory explanation of the basic problems and solutions followed with an analytical treatment in greater detail.

The most important aspects of new emerging technologies in wireless communications are comprehensively covered including: next generation Internet; cloud computing and network virtualization; economics of utility computing and wireless grids and clouds. This gives readers an essential understanding of the overall environment in which future wireless networks will be operating. Furthermore, a number of methodologies for maintaining the network connectivity, by using tools ranging from genetic algorithms to stochastic geometry and random graphs theory, and a discussion on percolation and connectivity, are also offered. The book includes a chapter on network formation games, covering the general models, knowledge based network formation games, and coalition games in wireless ad hoc networks.

  • Illustrates points throughout using real-life case studies drawn from the author's extensive international experience in the field of telecommunications
  • Fully updated to include the latest developments, key topics covered include: Advanced routing and network coding; Network stability control; Relay-assisted Wireless Networks; Multicommodity flow optimization problems, flow optimization in heterogeneous networks, and dynamic resource allocation in computing clouds
  • Methodically guides readers through each topic from basic to advanced areas
  • Focuses on system elements that provide adaptability and re-configurability, and discusses how these features can improve wireless communications system performance
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Product Details

  • ISBN-13: 9780470711224
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 6/15/2011
  • Edition number: 3
  • Pages: 950
  • Product dimensions: 7.00 (w) x 10.00 (h) x 2.00 (d)

Meet the Author

Savo Glisic, Professor of Telecommunications, University of Oulu, Finland
Professor Glisic obtained his PhD from Cranfield Institute of Technology, UK, before pursuing post doctoral studies at the University of California at San Diego, USA. His areas of interest include radio resource management in wireless mobile IP networks, network management, symbol synchronization in digital communications, automatic decision threshold level control (ADTLC) and frequency hopping modulation for wireless ad hoc networks. He has vast international experience in the field of telecommunications and has published prolifically on the subject, including three previous books with Wiley.
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Table of Contents

1 Fundamentals
1.1 4G and the book layout
1.2 General structure of 4G signals
1.3 Next Generation Internet
1.4 Cloud Computing and Network Virtualization
1.5 Economics of Utility Computing
1.6 Drawbacks of Cloud Computing
1.7 Wireless Grids and Clouds References

2 Adaptive coding
2.1 Adaptive and reconfigurable block coding
2.2 Adaptive and Reconfigurable Convolutional Codes
2.3 Concatenated codes with interleaver
2.4 Adaptive coding practice and prospective
2.5 Distributed Source Coding Appendix References

3 Adaptive and Reconfigurable Modulation
3.1 Coded modulation
3.2 Adaptive Coded Modulation for Fading Channels References

4 Space Time Coding
4.1 Diversity gain
4.2 Space time coding
4.3 Space-time block codes from orthogonal design
4.4 Channel Estimation Imperfections
4.5 Quasy Orthogonal Space Time Block Codes
4.6 Space time convolutional codes
4.7 Algebraic space time codes
4.8 Differential Space -Time Modulation
4.9 Multiple Transmit Antenna Differential
4.10 Layered Space - Time Coding
4.11 Concatenated Space Time Block Coding
4.12 Estimation of MIMO channel
4.13 Space-Time Codes for Frequency Selective Channels
4.14 MIMO system optimization
4.15 MIMO systems with constellation rotation
4.16 Diagonal Algebraic Space-Time Block Codes Appendix 4.1 QR Factorization Appendix 4.2 Lattice Code Decoder for Space-Time Codes Appendix 4.3 MIMO channel capacity

5 Multiuser communication
5.1 Pseudorandom Sequence
5.2 Multiuser CDMA Receivers
5.3 Minimum Mean-Square Error (MMSE)
5.4 Single-user LMMSE Receivers for
5.5 Signal Subspace-Based Channel estimation for CDMA systems
5.6 Iterative Receivers for Layered Space Time Coding

6 Channel estimation and equalization
6.1 Equalization in Digital Data Transmission System
6.2 LMS Equalizer
6.3 Detection for a Statistically Known, Time-varying channel
6.4 Adaptive MLSE Equalization
6.5 Adaptive Channel Identification and Data Demodulation
6.6 Turbo-Equalization
6.7 Kalman Filer Based Joint Channel Estimation and Data Detection over Fading Channels
6.8 Equalization using higher order signal statistics

7 Orthogonal Frequency Division Multiplexing
7.1 Timing and Frequency Offset in OFDM
7.2 Fading Channel Estimation for OFDM Systems
7.3 64-DAPSK and 64-QAM Modulated OFDM Signals
7.4 Space Time Coding with OFDM Signals
7.5 Layered Space time coding for MIMO-OFDM
7.6 Space Time Coded TDMA/OFDM Reconfiguration Efficiency
7.7 Parallel interference cancellation in OFDM systems
7.8 Zero forcing OFDM equalizer
7.9 Channel Estimation for OFDM Systems
7.10 Turbo Processing for an OFDM-Based MIMO System
7.11 PAPR Reduction of OFDM Signals

8 Ultra Wide Band Radio
8.1 UWB Multiple Access in Gaussian Channel
8.2 The UWB Channel
8.3 UWB System with M-ary Modulation
8.4 M-ary PPM UWB multiple access
8.5. Coded UWB Schemes
8.6 Multiuser detection in UWB radio
8.7 UWB with space time processing
8.8 Beamforming for UWB Radio

9 Convex Optimization Theory Based Linear Precoding
9.1 Space-Time Precoders and Equalizers for MIMO Channels
9.2 Linear precoding based on convex optimization theory
9.3. Convex Optimization Theory based Beamforming References

10 Cognitive Networks
10.1 Optimal Channel Sensing in Cognitive Wireless Networks
10.2 Optimal Sequential Channel Sensing
10.3 Optimal Parallel Multiband Channel Sensing
10.4 Collaborative Spectrum Sensing
10.5 Multichannel Cognitive MAC

11 Relay-assisted Wireless Networks
11.1 Introduction
11.2 Background and related work
11.3 Cooperative Communications
11.4 Relay-Assisted Communications
11.5 Two-Way Relay-Assisted Communications
11.6 Relay-Assisted Communications With Reuse of Resources References

12 Bio Inspired Paradigms in Wireless Networks
12.1 Biologically Inspired Model for Securing Hybrid Mobile Ad Hoc Networks
12.2 Biologically Inspired Routing in Ad Hoc Networks
12.3 Analytical modeling of AntNet as adaptive mobile agent based routing
12.4 Biologically inspired algorithm for optimum multicasting
12.5 Biologically Inspired (BI) Distributed Topology Control
12.6 Optimization of Mobile Agent Routing in Sensor Networks
12.7 Epidemic Routing
12.8 Nanonetworks
12.9 Genetic Algorithm Based Dynamic Topology Reconfiguration in Cellular Multihop Wireless Networks

13 Positioning in Wireless Networks 25
13.1 Mobile station location in cellular networks
13.2 Relative positioning in wireless sensor networks
13.3 Average performance of circular and hyperbolic geolocation

14 Wireless Networks Connectivity
14.1 Survivable Wireless Networks Design
14.2 Survivability of Wireless Ad Hoc Networks
14.3 Network Dimensioning
14.4 Survivable network under general traffic
14.5 Stochastic Geometry and Random Graphs Theory

15 Advanced routing and network coding
15.1 Conventional Routing Versus Network Coding
15.2 A Max-Flow Min-Cut Theorem
15.3 Algebraic Formulation of Network Coding
15.4 Random Network Coding
15.5 Gossip Based Protocol and Network Coding
15.7 Multisource Multicast Network Switching
15.8 Optimization of Wireless Multicast Ad-Hoc Networks
15.9 Optimization of Multicast Wireless Ad-Hoc Network Using Soft Graph Coloring and Non-Linear Cubic Games
15.10 Joint Optimization of Routing and Medium Contentionin Multihop Multicas Wireless Network
15.11 Routing and Network Stability
15.12 Lagrangian Decomposition of Multicomodity Flow Optimization Problem
15.13 Flow Optimization in Heterogeneous Networks
15.14 Dynamic Resource Allocation in Computing Clouds

16. Network Formation Games
16.1 General Model of Network Formation Games
16.2 Knowledge Based Network Formation Games
16.3 Coalition Games in Wireless Ad Hoc Networks
16.4 HD Game Based TCP Selection


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