期刊名称:International Journal of Distributed Sensor Networks
印刷版ISSN:1550-1329
电子版ISSN:1550-1477
出版年度:2019
卷号:15
期号:1
页码:1
DOI:10.1177/1550147718817289
出版社:Hindawi Publishing Corporation
摘要:This article investigates the problem of efficient spectrum access for traffic demands of self-organizing cognitive small-cell networks, using the coalitional game approach. In particular, we propose a novel spectrum and time two-dimensional Traffic Cooperation Coalitional Game model which aims to improve the network throughput. The main motivation is to complete the data traffics of users, and the main idea is to make use of spectrum resource efficiently by reducing mutual interference in the spectrum dimension and considering cooperative data transmission in the time dimension at the same time. With the approach of coalition formation, compared with the traditional binary order in most existing coalition formation algorithms, the proposed functional order indicates a more flexibly preferring action which is a functional value determined by the environment information. To solve the distributed self-organizing traffic cooperation coalition formation problem, we propose three coalition formation algorithms: the first one is the Binary Preferring Traffic Cooperation Coalition Formation Algorithm based on the traditional Binary Preferring order; the second one is the Best Selection Traffic Cooperation Coalition Formation Algorithm based on the functional Best Selection order to improve the converging speed; and the third one is the Probabilistic Decision Traffic Cooperation Coalition Formation Algorithm based on the functional Probabilistic Decision order to improve the performance of the formed coalition. The proposed three algorithms are proved to converge to Nash-stable coalition structure. Simulation results verify the theoretic analysis and the proposed approaches.
关键词:Demand-aware; cognitive radio; small cell; coalitional game