[1]吴苏,代延梅,王保云. MISO网络下的鲁棒性多目标波束成形设计[J].计算机技术与发展,2017,27(05):183-187.
　WU Su,DAI Yan-mei,WANG Bao-yun. Design of Robust Multi-objective Beamforming in MISO Networks[J].,2017,27(05):183-187.
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 MISO网络下的鲁棒性多目标波束成形设计()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年05期
页码:
183-187
栏目:
应用开发研究
出版日期:
2017-05-10

文章信息/Info

Title:
 Design of Robust Multi-objective Beamforming in MISO Networks
文章编号:
1673-629X（2017)05-0183-05
作者:
 吴苏; 代延梅; 王保云
 南京邮电大学 通信与信息工程学院
Author(s):
 WU Su; DAI Yan-mei; WANG Bao-yun
关键词:
 ; 安全通信; 波束成形设计; 多目标最优问题; 鲁棒性; 多输入单输出网络
Keywords:
 ; secure communication; beamforming design; MOOP; robust; MISO Networks
分类号:
TP301
文献标志码:
A
摘要:
 传统的物理层安全通信只研究信息的安全传输或者系统的能量消耗,而这两者相互冲突且越来越难以满足人们对无线通信系统的高要求,因此寻求有效均衡两者的方法成为无线通信系统设计的关键.在多输入单输出(MISO)的下行网络中,联合优化接收端的安全速率和发送端的功率消耗,提出了一种基于加权切比雪夫方法的多目标优化框架(MOO),将两个冲突的单目标问题转化为一个多目标优化问题(MOOP).引入泰勒级数展开,将非凸问题线性化;运用S-Procedure和柯西施瓦兹不等式,处理半无限约束.在发送端对信道状态信息(CSI)不完全已知的情况下,所提出的鲁棒性迭代算法,获得了安全速率和功率消耗的帕累托最优边界.实验结果表明,所提出的算法优于传统的非鲁棒性算法.
Abstract:
 Either the security transmission of information or the energy consumption of systems is investigated in traditional physical security communication.It is of great significance to seek effective ways to balance them because of their conflicting performances and the fact that it is more and more difficult to meet people’s high requirements of the wireless communication system.The optimization of the transmit power and the secrecy rate jointly is considered in a Multiple-Input-Single-Output (MISO) downlink network.A Multi-Objective Optimization (MOO) framework based on the weighted Tchebycheff approach is proposed to transform the two conflicting single-objective problems into a multi-objective problem.Taylor series expansion is then employed to recast the formulated Multi-Objective Optimization Problem (MOOP) as a linear one.S-Procedure and Cauchy-Schwarz inequality are applied to deal with the semi-infinite constraints.Finally,a robust iterative algorithm is proposed to achieve the Pareto optimal boundary under the assumption that the Channel State Information (CSI) is not perfectly known at the transmitter.Simulation results that the proposed algorithm not only demonstrates the convergence,but also indicates the effectiveness of it compared with traditional non-robust one.

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更新日期/Last Update: 2017-07-07