计算机工程与应用2016，Vol.52Issue(12)：127-130,167,5.DOI:10.3778/j.issn.1002-8331.1412-0008
天线选择下稳健波束形成新算法
Joint probabilistic constrained robust beamforming and antenna selection
摘要
Abstract
This paper proposes a novel method for joint probabilistic constrained robust beamforming and antenna selection used in Cognitive Radio(CR)networks. Assuming complex Gaussian distributed Channel State Information(CSI)errors, the Bernstein-type inequalities are used to transform the no closed-form probabilistic constrained into the deterministic forms. Moreover, ℓ1-norm is introduced as the closest convex approximation of ℓ0-norm. So, the original NP-hard optimal problem can be relaxed to as a tractable convex optimization problem. A computationally efficient and near-optimal solution is obtained by an iteratively re-weighted algorithm. Simulations show that the proposed algorithm meets prescribed service levels at a relatively small excess transmission power in a number of transmitter reduction scenarios.关键词
认知无线电/稳健波束形成/天线选择Key words
cognitive radio/robust beamforming/antenna selection分类
信息技术与安全科学引用本文复制引用
张勇,岳金旺,王静,金勇..天线选择下稳健波束形成新算法[J].计算机工程与应用,2016,52(12):127-130,167,5.基金项目
国家自然科学基金（No.U1204611，No.61300214）。 （）
