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Preface | p. xv |
Introduction | p. 1 |
Brief introduction to the history of game theory | p. 1 |
Game theory in wireless and communication networks | p. 3 |
Organization and targeted audience | p. 4 |
Timeliness of the book | p. 6 |
Outline of the book | p. 9 |
Wireless networks: an introduction | p. 14 |
Wireless channel models | p. 15 |
Radio propagation | p. 15 |
Interference channel | p. 20 |
Categorization of wireless networks | p. 21 |
3G cellular networks and beyond | p. 21 |
WiMAX networks | p. 25 |
WiFi networks | p. 27 |
Wireless personal area networks | p. 31 |
Wireless ad hoc networks | p. 37 |
Wireless sensor networks | p. 40 |
Advanced wireless technology | p. 45 |
OFDM technology | p. 45 |
Multiple-antenna systems | p. 47 |
Cognitive radio | p. 49 |
Fundamentals of game theory | |
Non-cooperative games | p. 55 |
Non-cooperative games: preliminaries | p. 55 |
Introduction | p. 55 |
Basics of non-cooperative games | p. 56 |
Non-cooperative games in strategic form | p. 58 |
Matrix games | p. 58 |
Dominating strategies | p. 61 |
Nash equilibrium | p. 63 |
Static continuous-kernel games | p. 65 |
Mixed strategies | p. 69 |
Efficiency and equilibrium selection | p. 72 |
Dynamic non-cooperative games | p. 74 |
Non-cooperative games in extensive form | p. 74 |
Repeated games | p. 80 |
Stochastic games | p. 84 |
Special classes of non-cooperative games | p. 85 |
Potential games | p. 85 |
Stackelberg games | p. 88 |
Correlated equilibrium | p. 91 |
Supermodular games | p. 94 |
Wardrop equilibrium | p. 96 |
Summary | p. 100 |
Bayesian games | p. 101 |
Overview of Bayesian games | p. 101 |
Simple example | p. 101 |
Static Bayesian game | p. 102 |
Bayesian dynamic games in extensive form | p. 104 |
Cournot duopoly model with incomplete information | p. 105 |
Auction with incomplete information | p. 107 |
Applications in wireless communications and networking | p. 109 |
Packet-forwarding game ' | p. 109 |
K-player Bayesian water-filling game | p. 112 |
Channel-access game | p. 116 |
Bandwidth-auction game | p. 119 |
Bandwidth-allocation game | p. 121 |
Summary | p. 122 |
Differential games | p. 124 |
Optimal-control theory | p. 125 |
Dynamic programming | p. 125 |
The maximum principle | p. 126 |
Differential games | p. 128 |
Main ingredients and general results | p. 128 |
Stackelberg differential game | p. 130 |
Applications of differential games in wireless communications and networking | p. 136 |
Summary | p. 137 |
Evolutionary games | p. 138 |
The evolutionary process | p. 139 |
Evolutionarily stable strategies | p. 139 |
Replicator dynamics | p. 141 |
The evolutionary game and reinforcement learning | p. 143 |
Applications of evolutionary games in wireless communications and networking | p. 144 |
Congestion control | p. 144 |
Evolutionary game for the Aloha protocol | p. 146 |
Evolutionary game for WCDMA access | p. 148 |
Routing-potential game | p. 149 |
Cooperative sensing in cognitive radio | p. 151 |
TCP throughput adaptation | p. 154 |
User churning behavior | p. 158 |
Dynamic bandwidth allocation with evolutionary network selection | p. 163 |
Summary | p. 170 |
Cooperative games | p. 171 |
Bargaining theory | p. 171 |
Introduction | p. 171 |
The Nash bargaining solution | p. 172 |
Sample applications in wireless and communication networks | p. 178 |
Coalitional game theory: basics | p. 185 |
Introduction | p. 185 |
Coalitional-game theory: preliminaries | p. 185 |
Class I: canonical coalitional games | p. 189 |
Main properties of canonical coalitional games | p. 189 |
The core as a solution for canonical coalitional games | p. 190 |
The Shapley value | p. 195 |
The nucleolus | p. 196 |
Sample applications in wireless and communication networks | p. 198 |
Class II: coalition-formation games | p. 203 |
Main properties of coalition-formation games | p. 203 |
Impact of a coalitional structure on solution concepts for canonical coalitional games | p. 203 |
Dynamic coalition-formation algorithms | p. 205 |
Sample applications in wireless and communication networks | p. 209 |
Class III: coalitional graph games | p. 215 |
Main properties of coalitional graph games | p. 215 |
Coalitional graph games and network-formation games | p. 216 |
Sample applications in wireless and communication networks | p. 219 |
Summary | p. 220 |
Auction theory and mechanism design | p. 221 |
Introduction and auction basics | p. 222 |
Mechanism design | p. 226 |
Equilibrium concepts | p. 226 |
Participation and incentive compatibility | p. 227 |
Revelation principle | p. 228 |
Budget balance and efficiency | p. 228 |
Groves mechanism | p. 229 |
Impossibility and possibility | p. 229 |
Special auctions | p. 230 |
VCG auction | p. 230 |
Share auction | p. 232 |
Double auction | p. 233 |
Examples of communication applications | p. 235 |
Cognitive radio | p. 236 |
Physical-layer security | p. 248 |
Summary | p. 251 |
Applications of game theory in communications and networking | |
Cellular and broadband wireless access networks | p. 255 |
Uplink power control in CDMA networks | p. 257 |
Single-cell CDMA networks | p. 258 |
Multi-cell wireless CDMA networks | p. 263 |
Resource allocation in single-cell OFDMA networks | p. 269 |
OFDMA resource-allocation model | p. 270 |
Nash bargaining solution for subcarrier allocation | p. 272 |
Algorithms for reaching the Nash bargaining solution | p. 274 |
Power allocation in femtocell networks | p. 279 |
Femtocell power control as a Stackelberg game | p. 280 |
Multi-leader multi-follower Stackelberg equilibrium | p. 284 |
Algorithm for reaching the Stackelberg equilibrium | p. 286 |
IEEE 802.16 broadband wireless access networks | p. 287 |
Resource allocation and admission control | p. 287 |
Relay-station deployment in IEEE 802.16j | p. 299 |
Network selection in multi-technology wireless networks | p. 307 |
Network selection as a non-cooperative game | p. 309 |
Network selection with incomplete information | p. 311 |
Summary | p. 320 |
Wireless local area networks | p. 321 |
MAC protocol design | p. 322 |
Static game | p. 323 |
Dynamic game | p. 324 |
Deviation detection and penalization | p. 325 |
Related work | p. 326 |
Random-access control | p. 326 |
Choice of utility function | p. 327 |
Dynamics of a random-access game | p. 328 |
Extension with propagation delay and estimation error | p. 329 |
Related work | p. 329 |
Rate selection for VoIP service on WLAN | p. 330 |
Game formulation | p. 330 |
Payoff function | p. 331 |
Access-point selection | p. 332 |
Formulation of a population game | p. 333 |
Price of anarchy | p. 335 |
Access pricing | p. 335 |
Related work | p. 336 |
Admission control | p. 337 |
Two-player game formulation | p. 337 |
Interpretation of payoff | p. 339 |
WiFi access-point pricing | p. 339 |
Pricing scheme for direct payment | p. 340 |
User with Web browsing | p. 341 |
User with file transfer | p. 342 |
Model for uncertain application | p. 343 |
Summary | p. 344 |
Multi-hop networks | p. 345 |
Routing-game basics | p. 345 |
Cooperation enforcement and learning using a repeated game | p. 349 |
System model and problem formulation | p. 349 |
Self-learning cooperation-enforcing framework | p. 350 |
Asynchronous network | p. 352 |
Case analysis and performance evaluations | p. 353 |
Hierarchical routing using a network-formation game | p. 357 |
System model and game formulation | p. 358 |
Hierarchical network-formation game solution | p. 362 |
Hierarchical network-formation algorithm | p. 364 |
Simulation results and analysis | p. 366 |
Other typical approaches | p. 369 |
Price-based solution | p. 369 |
Truthfulness and security using auction theory | p. 370 |
Evolutionary-game approach | p. 372 |
Summary | p. 373 |
Cooperative-transmission networks | p. 375 |
Basics of cooperative transmission | p. 376 |
Cooperative-transmission protocols | p. 376 |
State of the art and impact on different layers | p. 380 |
Non-cooperative game for relay selection and power control | p. 380 |
Relay-selection and power-control problem | p. 381 |
Stackelberg-game approach | p. 382 |
Auction-theory-based resource allocation | p. 389 |
Resource-allocation objectives | p. 389 |
Share-auction approach | p. 392 |
Cooperative transmission using a cooperative game in MANET | p. 399 |
Selfishness in packet-forwarding networks | p. 400 |
Cooperative transmission using a coalitional game | p. 402 |
Cooperative routing | p. 411 |
Cooperative-routing algorithms | p. 412 |
WiMAX IEEE 802.16j | p. 413 |
Summary | p. 416 |
Cognitive-radio networks | p. 418 |
Cooperative spectrum sensing | p. 421 |
System model | p. 421 |
Coalitional-game formulation | p. 423 |
Centralized approach and performance comparison | p. 426 |
Power allocation as a non-cooperative game | p. 426 |
Underlay spectrum access and power allocation | p. 426 |
Properties of the Nash equilibrium for power allocation | p. 428 |
Distributed algorithm | p. 429 |
Pigouvian taxation and social optimality | p. 431 |
Related work | p. 432 |
Medium access control | p. 432 |
Channel allocation | p. 433 |
Channel access | p. 434 |
Distributed algorithms | p. 435 |
Decentralized dynamic spectrum access | p. 436 |
Overlay dynamic spectrum access | p. 436 |
Utility function | p. 438 |
Decentralized algorithm for channel access | p. 439 |
Alternative algorithms | p. 440 |
Radio resource competition based on a stochastic learning game | p. 441 |
System model of radio resource competition | p. 441 |
Auction mechanism | p. 442 |
Secondary-user strategy | p. 443 |
Learning algorithm | p. 445 |
Cheat-proof strategies for open spectrum sharing | p. 446 |
One-shot non-cooperative game | p. 446 |
Cooperative strategy | p. 447 |
Repeated games | p. 448 |
Cheat-proof strategy | p. 449 |
Spectrum leasing and cooperation | p. 450 |
Game formulation with instantaneous CSI | p. 451 |
Game formulation with long-term CSI | p. 454 |
Service-provider competition for dynamic spectrum allocation | p. 455 |
User demand | p. 455 |
Optimal price | p. 457 |
Related work | p. 458 |
Summary | p. 458 |
Internet networks | p. 460 |
Combined flow control and routing in communication networks | p. 462 |
Single user with multiple links | p. 463 |
Multiple users with multiple parallel links | p. 465 |
Sample Nash equilibria | p. 471 |
Congestion control in networks with a single service provider | p. 473 |
Pricing and congestion control | p. 474 |
Non-cooperative Nash game between followers | p. 476 |
Optimal pricing policy for the service provider | p. 478 |
Network with a large number of followers | p. 479 |
Pricing and revenue sharing for Internet service providers | p. 481 |
Pricing game among Internet service providers | p. 482 |
Revenue-sharing strategies | p. 484 |
Distributed algorithm for finding a Nash equilibrium | p. 485 |
Cooperative file sharing in peer-to-peer networks | p. 487 |
Cooperative vs. non-cooperative file sharing | p. 489 |
File sharing as a coalitional game in partition form | p. 491 |
Distributed algorithm for coalition formation | p. 493 |
Coalition formation in two-peer and N-peer networks | p. 495 |
Summary | p. 499 |
References | p. 501 |
Index | p. 530 |
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