• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Spectrum allocation strategy for heterogeneous wireless service based on bidding game

Vol. 11, No.3, March 31, 2017
10.3837/tiis.2017.03.005, Download Paper (Free):

Abstract

The spectrum scarcity crisis has resulted in a shortage of resources for many emerging wireless services, and research on dynamic spectrum management has been used to solve this problem. Game theory can allocate resources to users in an economic way through market competition. In this paper, we propose a bidding game-based spectrum allocation mechanism in cognitive radio network. In our framework, primary networks provide heterogeneous wireless service and different numbers of channels, while secondary users have diverse bandwidth demands for transmission. Considering the features of traffic and QoS demands, we design a weighted interference graph-based grouping algorithm to divide users into several groups and construct the non-interference user-set in the first step. In the second step, we propose the dynamic bidding game-based spectrum allocation strategy; we analyze both buyer’s and seller’s revenue and determine the best allocation strategy. We also prove that our mechanism can achieve balanced pricing schema in competition. Theoretical and simulation results show that our strategy provides a feasible solution to improve spectrum utilization, can maximize overall utility and guarantee users’ individual rationality.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
Jing Cao, Junsheng Wu and Wenchao Yang, "Spectrum allocation strategy for heterogeneous wireless service based on bidding game," KSII Transactions on Internet and Information Systems, vol. 11, no. 3, pp. 1336-1356, 2017. DOI: 10.3837/tiis.2017.03.005

[ACM Style]
Cao, J., Wu, J., and Yang, W. 2017. Spectrum allocation strategy for heterogeneous wireless service based on bidding game. KSII Transactions on Internet and Information Systems, 11, 3, (2017), 1336-1356. DOI: 10.3837/tiis.2017.03.005