Dynamic resource allocation algorithm based on game theory in cognitive small cell networks

被引：0
|
作者：
Jia, Ya-Nan [1 ]
Yue, Dian-Wu [1 ]
机构：
[1] College of Information Science & Technology, Dalian Maritime University, Dalian, 116026, Liaoning
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2015年 / 43卷 / 10期
关键词：
Cognitive small cell networks (CSCN); Game theory; Nash equilibrium; Power allocation; Spectrum allocation;
D O I：
10.3969/j.issn.0372-2112.2015.10.005
中图分类号：
学科分类号：
摘要：
In order to improve the capacity of the cognitive small cell network (CSCN), this paper analyzed the dynamic allocation of the spectrum, small cell base stations (SBS) and transmission power in the uplink based on the game theory. The traditional allocation scheme only considered the optimal allocation among independent frequency bands in heterogeneous networks, without taking into account the mutually overlapped frequency bands and the joint resource allocation in the uplink. For this reason, the joint optimal allocation etiquette is proposed. The interference temperature constraints, the new interference operator and the memory factor were introduced in the new uplink water-filling algorithm. Based on the characteristic of dynamic selection and the interference avoidance rule of interference temperature. Simulation results show that our algorithm can effectively improve the throughput and robustness of the CSCN. © 2015, Chinese Institute of Electronics. All right reserved.
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页码：1911 / 1917
页数：6
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