Conflicts and Incentives in Wireless Cooperative Relaying: A Distributed Market Pricing Framework

被引:23
作者
Chen, Lin [1 ,2 ]
Libman, Lavy [3 ]
Leneutre, Jean [4 ]
机构
[1] Univ Paris 11, LRI, CNRS, F-91405 Orsay, France
[2] INRIA, F-91405 Orsay, France
[3] Univ Sydney, Sch Informat Technol, Sydney, NSW 2006, Australia
[4] CNRS, LTCI 5141, Dept Comp Sci & Networking, TELECOM ParisTech, F-75013 Paris, France
基金
澳大利亚研究理事会;
关键词
Cooperative communication; relay selection; Stackelberg game; pricing; AD-HOC NETWORKS; CODED COOPERATION; DIVERSITY; PROTOCOLS; COMMUNICATION; POWER;
D O I
10.1109/TPDS.2010.152
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Extensive research in recent years has shown the benefits of cooperative relaying in wireless networks, where nodes overhear and cooperatively forward packets transmitted between their neighbors. Most existing studies focus on physical-layer optimization of the effective channel capacity for a given transmitter-receiver link; however, the interaction among simultaneous flows between different endpoint pairs, and the conflicts arising from their competition for a shared pool of relay nodes, are not yet well understood. In this paper, we study a distributed pricing framework, where sources pay relay nodes to forward their packets, and the payment is shared equally whenever a packet is successfully relayed by several nodes at once. We formulate this scenario as a Stackelberg (leader-follower) game, in which sources set the payment rates they offer, and relay nodes respond by choosing the flows to cooperate with. We provide a systematic analysis of the fundamental structural properties of this generic model. We show that multiple follower equilibria exist in general due to the nonconcave nature of their game, yet only one equilibrium possesses certain continuity properties that further lead to a unique system equilibrium among the leaders. We further demonstrate that the resulting equilibria are reasonably efficient in several typical scenarios.
引用
收藏
页码:758 / 772
页数:15
相关论文
共 21 条
[1]   A game theoretic framework of distributed power and rate control in IEEE 802.11 WLANs [J].
Chen, Lin ;
Leneutre, Jean .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2008, 26 (07) :1128-1137
[2]  
Hunter TE, 2006, IEEE T WIREL COMMUN, V5, P283, DOI 10.1109/TWC.2006.02006
[3]   Pricing for enabling forwarding in self-configuring ad hoc networks [J].
Ileri, O ;
Mau, SC ;
Mandayam, NB .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2005, 23 (01) :151-162
[4]   Coded cooperation in wireless communications: Space-time transmission and iterative decoding [J].
Janani, M ;
Hedayat, A ;
Hunter, TE ;
Nosratinia, A .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2004, 52 (02) :362-371
[5]  
JARAMILLO JJ, 2007, P ACM MOBICOM SEPT
[6]  
Kelly FP, 1998, J OPER RES SOC, V49, P237, DOI 10.1057/palgrave.jors.2600523
[7]   The three-node wireless network: Achievable rates and cooperation strategies [J].
Lai, LF ;
Liu, K ;
El Gamal, H .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (03) :805-828
[8]   Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks [J].
Laneman, JN ;
Wornell, GW .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2003, 49 (10) :2415-2425
[9]   Cooperative diversity in wireless networks: Efficient protocols and outage behavior [J].
Laneman, JN ;
Tse, DNC ;
Wornell, GW .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2004, 50 (12) :3062-3080
[10]  
LI X, 2008, P ACM MOBIHOC SEPT