未来5G通信中基于协同感知的能量有效性优化算法  

Cooperative Spectrum-aware Energy-Efficiency Optimization for 5G Communications

作　　者：崔翠梅[1,2,3] 朱锡芳 金石[2] 汪一鸣[3] 

机构地区：[1]常州工学院电气与光电工程学院,江苏常州213032 [2]东南大学移动通信国家重点实验室,江苏南京210096 [3]苏州大学城市轨道交通学院,江苏苏州215021

出　　处：《微电子学与计算机》2017年第12期1-4,共4页Microelectronics & Computer

基　　金：国家自然科学基金项目(61471252);常州市应用基础研究计划项目(CJ20160054);江苏高校文化创意协同创新中心重点项目(XYN1505);常州工学院自然科学基金重点项目(YN1504)

摘　　要：针对未来5G通信网络频谱资源紧缺、高吞吐量和低功耗需求等难题,研究了如何提高频谱资源利用率和能量有效性.首先,基于协同频谱感知方法和动态时分多址接入机制构建了5G认知网络模型.其次,推导出能量有效性函数表达式,并给出多目标优化函数,利用帕累托最优化方法将非凸函数转化为凸函数求取全局最优解.最后,通过仿真验证所提能量有效性优化算法在保证感知准确性和时间敏捷性的同时,获得比其他两种方法更高的性能.To address the issues of spectrum inefficiency, high throughput, and low power consumption in 5G communications, we study the spectrum efficiency and energy efficiency issues. First, 5G cognitive network model, where cognitive femtocell coexist with picocell, was built based on cooperative spectrum sensing scheme and dynamic time-division multiple-access scheduling mechanism. Then, formulate energy efficiency function and optimization problem with respect to transmission power. To resolve the non-convexity of the formulated optimization problem, Pareto-optimal solution was involved in global optimality. The simulation results show that the proposed schemes significantly enhance the energy efficiency of the cognitive femto user compared with another schemes, and ensure the accuracy and time agility of spectrum sensing.

关 键 词：能量有效性 认知无线电 协同频谱感知 微微小区 家庭基站 

分 类 号：TN925[电子电信—通信与信息系统]