小蜂窝认知网络中基于干扰和能量效率的动态频谱管理  

Dynamic Spectrum Management Based on Interference and Energy Efficiency for Small-cell Cognitive Networks

作　　者：司鹏搏[1] 刘佳[1] 于非[1] 张延华[1] 

机构地区：[1]北京工业大学电子信息与控制学院,北京100124

出　　处：《北京工业大学学报》2016年第2期223-229,共7页Journal of Beijing University of Technology

基　　金：国家自然科学基金资助项目(61372089;61101113);北京市自然科学基金资助项目(4132007;4132015)

摘　　要：针对基于非授权频段的小蜂窝认知网络中的抑制干扰和降低功耗问题,提出了干效性的概念,即传输每比特数据所产生的干扰.建立基于能效性和干效性的多目标收益函数,以最大化长期折扣收益为目标,利用随机动态优化理论中基于马尔科夫决策过程的Restless Bandits模型,计算其最优频谱管理决策,给出了动态频谱管理决策的过程.该方法具有分布式和动态特性且计算复杂度较低.仿真结果表明该方法能显著提高系统收益能效性、干效性等性能.With the introduction of interference efficiency(IE),which represents the interference introduced by the transmission of each data bit,an optimal dynamic spectrum management scheme was proposed to deal with the problem of reducing both interference and power consumption in small-cell cognitive radio networks working on unlicensed spectrum bands.Both the multi-objective reward function with energy and interference efficiency and spectrum management decisions to maximizing their long-term discounted reward were established and optimized by the cognitive radio base stations in the small cells.The restless bandits problem based on the Markov decision process in the dynamic stochastic optimization theory was used for the optimization schemes,and the process of dynamic spectrum management was presented.The proposed scheme has low computation complexity with distributed and dynamic features.Simulation results are provided to demonstrate the significant performance improvement of the proposed scheme.

关 键 词：小蜂窝认知无线电 动态频谱管理 干扰效率 能量效率 

分 类 号：TN929.53[电子电信—通信与信息系统]