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基于误码率与中断概率约束的femtocell网络分布式功率控制
引用本文:刘志新,高露,袁亚洲.基于误码率与中断概率约束的femtocell网络分布式功率控制[J].控制与决策,2020,35(4):916-922.
作者姓名:刘志新  高露  袁亚洲
作者单位:燕山大学电气工程学院,河北秦皇岛,066004
基金项目:国家自然科学基金项目(61473247,61873223,61803328);河北省自然科学基金项目(F2017203140).
摘    要:家庭基站(femtocell)网络可有效改善无线通信业务的室内覆盖性能,提高信道容量.然而,复杂的动态通信环境导致信道的不确定性,影响用户服务质量.基于此,研究双层femtocell网络在快衰落信道环境下基于误码率约束的功率控制问题;考虑信号传输的中断概率,以及服务质量指标–误码率等方面的要求,构造在此约束下的优化问题;最大化双层femtocell网络的净收益,使得网络系统的通信性能最优;通过对概率约束进行数学处理,将其转化为确定性形式,并提出分布式鲁棒优化算法对等价的确定性优化问题进行求解,从而获得最优功率分配策略.最后,通过仿真验证了所提出算法的收敛性和有效性.

关 键 词:双层femtocell网络  功率分配  服务质量  鲁棒优化

Distributed power control based on bit error rate and outage probability constraint in two-tier femtocell networks
LIU Zhi-xin,GAO Lu and YUAN Ya-zhou.Distributed power control based on bit error rate and outage probability constraint in two-tier femtocell networks[J].Control and Decision,2020,35(4):916-922.
Authors:LIU Zhi-xin  GAO Lu and YUAN Ya-zhou
Affiliation:Institute of Electrical Engineering,Yanshan University,Qinhuangdao066004,China,Institute of Electrical Engineering,Yanshan University,Qinhuangdao066004,China and Institute of Electrical Engineering,Yanshan University,Qinhuangdao066004,China
Abstract:Femtocell network is an efficient technique to improve the coverage performance indoor and promote the capacity of wireless communications. However, the uncertainty of channel gain caused by the dynamic communication environment deteriorates the quality of service of users. The power control problem of two-tier femtocell networks is studied based on bit error rate constraint in the fast fading channel environment. Considering the requirements in aspect of outage probability of signal transmission and the quality of service index-bit error rate, the optimization problem under the probability constraint is constructed to maximize the net income of the two-tier femtocell networks, which makes the communication performance of the network system optimal. By processing the probability constraint, it is transformed into a deterministic expression form, and the distributed robust optimization algorithm is proposed to solve the equivalent deterministic optimization problem, so as to obtain the optimal solution of the optimization problem. Finally, the convergence and effectiveness of the proposed distributed optimization algorithm are verified by simulations.
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