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9780521196963

Game Theory in Wireless and Communication Networks: Theory, Models, and Applications

by
  • ISBN13:

    9780521196963

  • ISBN10:

    0521196965

  • Format: Hardcover
  • Copyright: 2012-01-09
  • Publisher: Cambridge University Press

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Summary

This unified treatment of game theory focuses on finding state-of-the-art solutions to issues surrounding the next generation of wireless and communications networks. Future networks will rely on autonomous and distributed architectures to improve the efficiency and flexibility of mobile applications, and game theory provides the ideal framework for designing efficient and robust distributed algorithms. This book enables readers to develop a solid understanding of game theory, its applications and its use as an effective tool for addressing wireless communication and networking problems. The key results and tools of game theory are covered, as are various real-world technologies including 3G networks, wireless LANs, sensor networks, dynamic spectrum access and cognitive networks. The book also covers a wide range of techniques for modeling, designing and analysing communication networks using game theory, as well as state-of-the-art distributed design techniques. This is an ideal resource for communications engineers, researchers, and graduate and undergraduate students.

Author Biography

Zhu Han is an Assistant Professor of Electrical and Computer Engineering at the University of Houston, USA. Dusit Niyato is an Assistant Professor in the School of Computer Engineering at the Nanyang Technological University (NTU), Singapore. Walid Saad is an Assistant Professor in the Electrical and Computer Engineering Department at the University of Miami. His research interests include applications of game theory in wireless networks, small cell networks, cognitive radio, wireless communication systems (UMTS, WiMAX, LTE, etc), and smart grids. Tamer Basar is a Swanlund Chair holder and CAS Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, USA. Are Hjrungnes was a Professor in the Faculty of Mathematics and Natural Sciences at the University of Oslo, Norway.

Table of Contents

Prefacep. xv
Introductionp. 1
Brief introduction to the history of game theoryp. 1
Game theory in wireless and communication networksp. 3
Organization and targeted audiencep. 4
Timeliness of the bookp. 6
Outline of the bookp. 9
Wireless networks: an introductionp. 14
Wireless channel modelsp. 15
Radio propagationp. 15
Interference channelp. 20
Categorization of wireless networksp. 21
3G cellular networks and beyondp. 21
WiMAX networksp. 25
WiFi networksp. 27
Wireless personal area networksp. 31
Wireless ad hoc networksp. 37
Wireless sensor networksp. 40
Advanced wireless technologyp. 45
OFDM technologyp. 45
Multiple-antenna systemsp. 47
Cognitive radiop. 49
Fundamentals of game theory
Non-cooperative gamesp. 55
Non-cooperative games: preliminariesp. 55
Introductionp. 55
Basics of non-cooperative gamesp. 56
Non-cooperative games in strategic formp. 58
Matrix gamesp. 58
Dominating strategiesp. 61
Nash equilibriump. 63
Static continuous-kernel gamesp. 65
Mixed strategiesp. 69
Efficiency and equilibrium selectionp. 72
Dynamic non-cooperative gamesp. 74
Non-cooperative games in extensive formp. 74
Repeated gamesp. 80
Stochastic gamesp. 84
Special classes of non-cooperative gamesp. 85
Potential gamesp. 85
Stackelberg gamesp. 88
Correlated equilibriump. 91
Supermodular gamesp. 94
Wardrop equilibriump. 96
Summaryp. 100
Bayesian gamesp. 101
Overview of Bayesian gamesp. 101
Simple examplep. 101
Static Bayesian gamep. 102
Bayesian dynamic games in extensive formp. 104
Cournot duopoly model with incomplete informationp. 105
Auction with incomplete informationp. 107
Applications in wireless communications and networkingp. 109
Packet-forwarding game 'p. 109
K-player Bayesian water-filling gamep. 112
Channel-access gamep. 116
Bandwidth-auction gamep. 119
Bandwidth-allocation gamep. 121
Summaryp. 122
Differential gamesp. 124
Optimal-control theoryp. 125
Dynamic programmingp. 125
The maximum principlep. 126
Differential gamesp. 128
Main ingredients and general resultsp. 128
Stackelberg differential gamep. 130
Applications of differential games in wireless communications and networkingp. 136
Summaryp. 137
Evolutionary gamesp. 138
The evolutionary processp. 139
Evolutionarily stable strategiesp. 139
Replicator dynamicsp. 141
The evolutionary game and reinforcement learningp. 143
Applications of evolutionary games in wireless communications and networkingp. 144
Congestion controlp. 144
Evolutionary game for the Aloha protocolp. 146
Evolutionary game for WCDMA accessp. 148
Routing-potential gamep. 149
Cooperative sensing in cognitive radiop. 151
TCP throughput adaptationp. 154
User churning behaviorp. 158
Dynamic bandwidth allocation with evolutionary network selectionp. 163
Summaryp. 170
Cooperative gamesp. 171
Bargaining theoryp. 171
Introductionp. 171
The Nash bargaining solutionp. 172
Sample applications in wireless and communication networksp. 178
Coalitional game theory: basicsp. 185
Introductionp. 185
Coalitional-game theory: preliminariesp. 185
Class I: canonical coalitional gamesp. 189
Main properties of canonical coalitional gamesp. 189
The core as a solution for canonical coalitional gamesp. 190
The Shapley valuep. 195
The nucleolusp. 196
Sample applications in wireless and communication networksp. 198
Class II: coalition-formation gamesp. 203
Main properties of coalition-formation gamesp. 203
Impact of a coalitional structure on solution concepts for canonical coalitional gamesp. 203
Dynamic coalition-formation algorithmsp. 205
Sample applications in wireless and communication networksp. 209
Class III: coalitional graph gamesp. 215
Main properties of coalitional graph gamesp. 215
Coalitional graph games and network-formation gamesp. 216
Sample applications in wireless and communication networksp. 219
Summaryp. 220
Auction theory and mechanism designp. 221
Introduction and auction basicsp. 222
Mechanism designp. 226
Equilibrium conceptsp. 226
Participation and incentive compatibilityp. 227
Revelation principlep. 228
Budget balance and efficiencyp. 228
Groves mechanismp. 229
Impossibility and possibilityp. 229
Special auctionsp. 230
VCG auctionp. 230
Share auctionp. 232
Double auctionp. 233
Examples of communication applicationsp. 235
Cognitive radiop. 236
Physical-layer securityp. 248
Summaryp. 251
Applications of game theory in communications and networking
Cellular and broadband wireless access networksp. 255
Uplink power control in CDMA networksp. 257
Single-cell CDMA networksp. 258
Multi-cell wireless CDMA networksp. 263
Resource allocation in single-cell OFDMA networksp. 269
OFDMA resource-allocation modelp. 270
Nash bargaining solution for subcarrier allocationp. 272
Algorithms for reaching the Nash bargaining solutionp. 274
Power allocation in femtocell networksp. 279
Femtocell power control as a Stackelberg gamep. 280
Multi-leader multi-follower Stackelberg equilibriump. 284
Algorithm for reaching the Stackelberg equilibriump. 286
IEEE 802.16 broadband wireless access networksp. 287
Resource allocation and admission controlp. 287
Relay-station deployment in IEEE 802.16jp. 299
Network selection in multi-technology wireless networksp. 307
Network selection as a non-cooperative gamep. 309
Network selection with incomplete informationp. 311
Summaryp. 320
Wireless local area networksp. 321
MAC protocol designp. 322
Static gamep. 323
Dynamic gamep. 324
Deviation detection and penalizationp. 325
Related workp. 326
Random-access controlp. 326
Choice of utility functionp. 327
Dynamics of a random-access gamep. 328
Extension with propagation delay and estimation errorp. 329
Related workp. 329
Rate selection for VoIP service on WLANp. 330
Game formulationp. 330
Payoff functionp. 331
Access-point selectionp. 332
Formulation of a population gamep. 333
Price of anarchyp. 335
Access pricingp. 335
Related workp. 336
Admission controlp. 337
Two-player game formulationp. 337
Interpretation of payoffp. 339
WiFi access-point pricingp. 339
Pricing scheme for direct paymentp. 340
User with Web browsingp. 341
User with file transferp. 342
Model for uncertain applicationp. 343
Summaryp. 344
Multi-hop networksp. 345
Routing-game basicsp. 345
Cooperation enforcement and learning using a repeated gamep. 349
System model and problem formulationp. 349
Self-learning cooperation-enforcing frameworkp. 350
Asynchronous networkp. 352
Case analysis and performance evaluationsp. 353
Hierarchical routing using a network-formation gamep. 357
System model and game formulationp. 358
Hierarchical network-formation game solutionp. 362
Hierarchical network-formation algorithmp. 364
Simulation results and analysisp. 366
Other typical approachesp. 369
Price-based solutionp. 369
Truthfulness and security using auction theoryp. 370
Evolutionary-game approachp. 372
Summaryp. 373
Cooperative-transmission networksp. 375
Basics of cooperative transmissionp. 376
Cooperative-transmission protocolsp. 376
State of the art and impact on different layersp. 380
Non-cooperative game for relay selection and power controlp. 380
Relay-selection and power-control problemp. 381
Stackelberg-game approachp. 382
Auction-theory-based resource allocationp. 389
Resource-allocation objectivesp. 389
Share-auction approachp. 392
Cooperative transmission using a cooperative game in MANETp. 399
Selfishness in packet-forwarding networksp. 400
Cooperative transmission using a coalitional gamep. 402
Cooperative routingp. 411
Cooperative-routing algorithmsp. 412
WiMAX IEEE 802.16jp. 413
Summaryp. 416
Cognitive-radio networksp. 418
Cooperative spectrum sensingp. 421
System modelp. 421
Coalitional-game formulationp. 423
Centralized approach and performance comparisonp. 426
Power allocation as a non-cooperative gamep. 426
Underlay spectrum access and power allocationp. 426
Properties of the Nash equilibrium for power allocationp. 428
Distributed algorithmp. 429
Pigouvian taxation and social optimalityp. 431
Related workp. 432
Medium access controlp. 432
Channel allocationp. 433
Channel accessp. 434
Distributed algorithmsp. 435
Decentralized dynamic spectrum accessp. 436
Overlay dynamic spectrum accessp. 436
Utility functionp. 438
Decentralized algorithm for channel accessp. 439
Alternative algorithmsp. 440
Radio resource competition based on a stochastic learning gamep. 441
System model of radio resource competitionp. 441
Auction mechanismp. 442
Secondary-user strategyp. 443
Learning algorithmp. 445
Cheat-proof strategies for open spectrum sharingp. 446
One-shot non-cooperative gamep. 446
Cooperative strategyp. 447
Repeated gamesp. 448
Cheat-proof strategyp. 449
Spectrum leasing and cooperationp. 450
Game formulation with instantaneous CSIp. 451
Game formulation with long-term CSIp. 454
Service-provider competition for dynamic spectrum allocationp. 455
User demandp. 455
Optimal pricep. 457
Related workp. 458
Summaryp. 458
Internet networksp. 460
Combined flow control and routing in communication networksp. 462
Single user with multiple linksp. 463
Multiple users with multiple parallel linksp. 465
Sample Nash equilibriap. 471
Congestion control in networks with a single service providerp. 473
Pricing and congestion controlp. 474
Non-cooperative Nash game between followersp. 476
Optimal pricing policy for the service providerp. 478
Network with a large number of followersp. 479
Pricing and revenue sharing for Internet service providersp. 481
Pricing game among Internet service providersp. 482
Revenue-sharing strategiesp. 484
Distributed algorithm for finding a Nash equilibriump. 485
Cooperative file sharing in peer-to-peer networksp. 487
Cooperative vs. non-cooperative file sharingp. 489
File sharing as a coalitional game in partition formp. 491
Distributed algorithm for coalition formationp. 493
Coalition formation in two-peer and N-peer networksp. 495
Summaryp. 499
Referencesp. 501
Indexp. 530
Table of Contents provided by Ingram. All Rights Reserved.

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