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《Acta Electronica Sinica》 2017-04
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Energy-Efficient Downlink Resource Allocation Algorithm Under Temperature-Interference Constraints in Cognitive Small Cell Networks

JIA Ya-nan;YUE Dian-wu;College of Information Science & Technology,Dalian Maritime University;Zhejiang Provincial Key Lab of Data Storage and Transmission Technology,Hangzhou Dianzi University;  
In order to maximize the energy efficiency( EE) of a cognitive small cell base station, this paper analyzes downlink joint spectrum resource blocks( SRBs) and power allocation based on game theory. In an interference-limited environment,base stations can share unused spectrum resources in a distributed architecture. The proposed algorithm introduces power and interference temperature constraints to avoid harmful accumulated interference on primary users. It is non-convex optimal to optimize the fractional form EE under multiple coupling constraints. The maximization problem is transmitted into an equivalent problem in subtractive form which can be solved from the iterative point of view. After obtaining the SRBs allocation strategies, the original game can be re-modeled as equivalent sub-games, then the transmission power can be solved more easily after decoupling power constraints based on pricing. Simulation results show that the proposed algorithm can converge to a Nash equilibrium and effectively improve system resources utilization and EE.
【Fund】: 国家自然科学基金(No.61371091 No.61301228);; 高等学校博士学科点专项科研基金(No.20132125110006);; 中央高校基本科研业务费专项基金-大连海事大学优秀科技创新团队培育计划(No.3132013334);; 浙江省数据存储传输及应用技术研究重点实验室(杭州电子科技大学)开放基金(No.201401)
【CateGory Index】: TN929.5
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