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Outage minimization for intelligent reflecting surface aided MISO communication systems via stochastic beamforming | |
2020-06-01 | |
会议录名称 | PROCEEDINGS OF THE IEEE SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP |
ISSN | 2151-870X |
卷号 | 2020-June |
发表状态 | 已发表 |
DOI | 10.1109/SAM48682.2020.9104259 |
摘要 | Intelligent reflecting surface (IRS) has the potential to significantly enhance the network performance by reconfiguring the wireless propagation environments. It is however difficult to obtain the accurate downlink channel state information (CSI) for efficient beamforming design in IRS-aided wireless networks. In this article, we consider an IRS-aided downlink multiple-input single-output (MISO) network, where the base station (BS) is not required to know the underlying channel distribution. We formulate an outage probability minimization problem by jointly optimizing the beamforming vector at the BS and the phase-shift matrix at the IRS, while taking into account the transmit power and unimodular constraints. The formulated problem turns out to be a non-convex non-smooth stochastic optimization problem. To this end, we employ the sigmoid function as the surrogate to tackle the non-smoothness of the objective function. In addition, we propose a data-driven efficient alternating stochastic gradient descent (SGD) algorithm to solve the problem by utilizing the historical channel samples. Simulation results demonstrate the performance gains of the proposed algorithm over the benchmark methods in terms of minimizing the outage probability. © 2020 IEEE. |
会议录编者/会议主办者 | 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop, SAM 2020 ; IEEE, IEEE Signal Proc Soc, Univ Sheffield, Off Naval Res Global |
关键词 | Array processing Beamforming Benchmarking Channel state information Gradient methods Optimization Stochastic systemsChannel distributions Minimization problems Multiple input single outputs Objective functions Outage minimization Stochastic gradient descent algorithm Stochastic optimization problems Wireless propagation |
会议名称 | 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2020 |
会议地点 | Hangzhou, China |
会议日期 | June 8, 2020 - June 11, 2020 |
URL | 查看原文 |
收录类别 | EI ; CPCI ; CPCI-S |
语种 | 英语 |
WOS记录号 | WOS:000681687600020 |
出版者 | IEEE Computer Society |
EI入藏号 | 20204209358476 |
EI主题词 | Outages |
原始文献类型 | Conference article (CA) |
来源库 | IEEE |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/124518 |
专题 | 信息科学与技术学院 信息科学与技术学院_PI研究组_石远明组 信息科学与技术学院_PI研究组_周勇组 信息科学与技术学院_硕士生 信息科学与技术学院_博士生 |
作者单位 | School of Information Science and Technology, ShanghaiTech University, Shanghai, China |
第一作者单位 | 信息科学与技术学院 |
第一作者的第一单位 | 信息科学与技术学院 |
推荐引用方式 GB/T 7714 | Wenzhi Fang,Min Fu,Yuanming Shi,et al. Outage minimization for intelligent reflecting surface aided MISO communication systems via stochastic beamforming[C]//2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop, SAM 2020, IEEE, IEEE Signal Proc Soc, Univ Sheffield, Off Naval Res Global:IEEE Computer Society,2020. |
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