Coalitional games for cooperative cellular wireless networks

Walid Saad, Zhu Han, Are Hjørungnes

Research output: Chapter in Book/Report/Conference proceedingChapter

10 Citations (Scopus)

Abstract

Introduction Cooperation among wireless nodes has attracted significant attention as a novel networking paradigm for future wireless cellular networks. It has been demonstrated that, by using cooperation at different layers (physical layer, multiple access channel (MAC) layer, network layer), the performance of wireless systems such as cellular networks can be significantly improved. In fact, cooperation can yield significant performance improvement in terms of reduced bit error rate (BER), improved throughput, efficient packet forwarding, reduced energy, and so on. In order to reap the benefits of cooperation, efficient and distributed cooperation strategies must be devised in future wireless networks. Designing such cooperation protocols encounters many challenges. On the one hand, any cooperation algorithm must take into account not only the gains but also the costs from cooperation which can both be challenging to model. On the other hand, the wireless network users tend to be selfish in nature and aim at improving their own performance. Therefore, giving incentives for these users to cooperate is another major challenge. Hence, there is a strong need to design cooperative strategies that can be implemented by the wireless nodes, in a distributed manner, while taking into account the selfish goals of each user as well as all the gains and losses from this cooperation. This chapter describes analytical tools from game theory that can be used to model the cooperative behavior in wireless cellular networks.

Original languageEnglish (US)
Title of host publicationCooperative Cellular Wireless Networks
PublisherCambridge University Press
Pages347-381
Number of pages35
ISBN (Print)9780511667008, 9780521767125
DOIs
StatePublished - Jan 1 2011

Fingerprint

Wireless networks
Network layers
Game theory
Bit error rate
Throughput
Network protocols
Costs

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Saad, W., Han, Z., & Hjørungnes, A. (2011). Coalitional games for cooperative cellular wireless networks. In Cooperative Cellular Wireless Networks (pp. 347-381). Cambridge University Press. https://doi.org/10.1017/CBO9780511667008.014

Coalitional games for cooperative cellular wireless networks. / Saad, Walid; Han, Zhu; Hjørungnes, Are.

Cooperative Cellular Wireless Networks. Cambridge University Press, 2011. p. 347-381.

Research output: Chapter in Book/Report/Conference proceedingChapter

Saad, W, Han, Z & Hjørungnes, A 2011, Coalitional games for cooperative cellular wireless networks. in Cooperative Cellular Wireless Networks. Cambridge University Press, pp. 347-381. https://doi.org/10.1017/CBO9780511667008.014
Saad W, Han Z, Hjørungnes A. Coalitional games for cooperative cellular wireless networks. In Cooperative Cellular Wireless Networks. Cambridge University Press. 2011. p. 347-381 https://doi.org/10.1017/CBO9780511667008.014
Saad, Walid ; Han, Zhu ; Hjørungnes, Are. / Coalitional games for cooperative cellular wireless networks. Cooperative Cellular Wireless Networks. Cambridge University Press, 2011. pp. 347-381
@inbook{03b5b6b5449a498f8a61e8717232bb04,
title = "Coalitional games for cooperative cellular wireless networks",
abstract = "Introduction Cooperation among wireless nodes has attracted significant attention as a novel networking paradigm for future wireless cellular networks. It has been demonstrated that, by using cooperation at different layers (physical layer, multiple access channel (MAC) layer, network layer), the performance of wireless systems such as cellular networks can be significantly improved. In fact, cooperation can yield significant performance improvement in terms of reduced bit error rate (BER), improved throughput, efficient packet forwarding, reduced energy, and so on. In order to reap the benefits of cooperation, efficient and distributed cooperation strategies must be devised in future wireless networks. Designing such cooperation protocols encounters many challenges. On the one hand, any cooperation algorithm must take into account not only the gains but also the costs from cooperation which can both be challenging to model. On the other hand, the wireless network users tend to be selfish in nature and aim at improving their own performance. Therefore, giving incentives for these users to cooperate is another major challenge. Hence, there is a strong need to design cooperative strategies that can be implemented by the wireless nodes, in a distributed manner, while taking into account the selfish goals of each user as well as all the gains and losses from this cooperation. This chapter describes analytical tools from game theory that can be used to model the cooperative behavior in wireless cellular networks.",
author = "Walid Saad and Zhu Han and Are Hj{\o}rungnes",
year = "2011",
month = "1",
day = "1",
doi = "10.1017/CBO9780511667008.014",
language = "English (US)",
isbn = "9780511667008",
pages = "347--381",
booktitle = "Cooperative Cellular Wireless Networks",
publisher = "Cambridge University Press",

}

TY - CHAP

T1 - Coalitional games for cooperative cellular wireless networks

AU - Saad, Walid

AU - Han, Zhu

AU - Hjørungnes, Are

PY - 2011/1/1

Y1 - 2011/1/1

N2 - Introduction Cooperation among wireless nodes has attracted significant attention as a novel networking paradigm for future wireless cellular networks. It has been demonstrated that, by using cooperation at different layers (physical layer, multiple access channel (MAC) layer, network layer), the performance of wireless systems such as cellular networks can be significantly improved. In fact, cooperation can yield significant performance improvement in terms of reduced bit error rate (BER), improved throughput, efficient packet forwarding, reduced energy, and so on. In order to reap the benefits of cooperation, efficient and distributed cooperation strategies must be devised in future wireless networks. Designing such cooperation protocols encounters many challenges. On the one hand, any cooperation algorithm must take into account not only the gains but also the costs from cooperation which can both be challenging to model. On the other hand, the wireless network users tend to be selfish in nature and aim at improving their own performance. Therefore, giving incentives for these users to cooperate is another major challenge. Hence, there is a strong need to design cooperative strategies that can be implemented by the wireless nodes, in a distributed manner, while taking into account the selfish goals of each user as well as all the gains and losses from this cooperation. This chapter describes analytical tools from game theory that can be used to model the cooperative behavior in wireless cellular networks.

AB - Introduction Cooperation among wireless nodes has attracted significant attention as a novel networking paradigm for future wireless cellular networks. It has been demonstrated that, by using cooperation at different layers (physical layer, multiple access channel (MAC) layer, network layer), the performance of wireless systems such as cellular networks can be significantly improved. In fact, cooperation can yield significant performance improvement in terms of reduced bit error rate (BER), improved throughput, efficient packet forwarding, reduced energy, and so on. In order to reap the benefits of cooperation, efficient and distributed cooperation strategies must be devised in future wireless networks. Designing such cooperation protocols encounters many challenges. On the one hand, any cooperation algorithm must take into account not only the gains but also the costs from cooperation which can both be challenging to model. On the other hand, the wireless network users tend to be selfish in nature and aim at improving their own performance. Therefore, giving incentives for these users to cooperate is another major challenge. Hence, there is a strong need to design cooperative strategies that can be implemented by the wireless nodes, in a distributed manner, while taking into account the selfish goals of each user as well as all the gains and losses from this cooperation. This chapter describes analytical tools from game theory that can be used to model the cooperative behavior in wireless cellular networks.

UR - http://www.scopus.com/inward/record.url?scp=84926101020&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84926101020&partnerID=8YFLogxK

U2 - 10.1017/CBO9780511667008.014

DO - 10.1017/CBO9780511667008.014

M3 - Chapter

SN - 9780511667008

SN - 9780521767125

SP - 347

EP - 381

BT - Cooperative Cellular Wireless Networks

PB - Cambridge University Press

ER -