DocumentCode :
2317172
Title :
Provider-customer coalitional games
Author :
Aram, Alireza ; Sarkar, Saswati ; Singh, Chandramani
Author_Institution :
Dep. of Electr. & Syst. Eng., Univ. of Pennsylvania, Philadelphia, PA, USA
fYear :
2009
fDate :
13-15 May 2009
Firstpage :
180
Lastpage :
189
Abstract :
Efficacy of proliferation of commercial wireless networks can be substantially enhanced through large scale cooperation among different providers. If a group of providers cooperate by allowing customers to be served by the resources of the whole group rather than just those of their own providers, they have the potential to utilize their resources more efficiently and enhance the quality of service they can offer. This in turn can result in higher profits for the providers. Such cooperation can, however, be successfully implemented if providers in a coalition judiciously allocate the resources, such as spectrum and base stations, accesspoints, etc., in a way that the individuals payoffs are commensurate to the resources they offer to the coalition. Initially, we assume that providers do not share their payoffs. We formulate this problem as a nontransferable payoff coalitional game and show that there exists a cooperation strategy that leaves no incentive for any subset of providers to split from the grand coalition, i.e., the core is nonempty. To compute this cooperation strategy and the corresponding payoffs, we subsequently relate this game and its core to an exchange market setting, and its equilibrium which can be computed by several practically efficient algorithms. Next, we investigate cooperation in a scenario, where customers are also decision makers and decide which provider to subscribe to, based on whether there is cooperation. We then formulate a coalitional game in this setting and show that it has a nonempty core. Finally, we extend previous results to the cases, where individuals assume more general payoff sharing relations, and their benefits are modeled as ldquovector payoff functionsrdquo, comprised of mixed transferable and nontransferable components.
Keywords :
game theory; quality of service; radio networks; cooperation strategy; exchange market setting; large scale cooperation; provider-customer coalitional games; quality of service; vector payoff function; wireless networks; Base stations; Collaboration; FCC; Femtocell networks; Large-scale systems; Quality of service; Regulators; Resource management; Throughput; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Game Theory for Networks, 2009. GameNets '09. International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-4176-1
Electronic_ISBN :
978-1-4244-4177-8
Type :
conf
DOI :
10.1109/GAMENETS.2009.5137400
Filename :
5137400
Link To Document :
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