Full-Duplex Enabled Integrating Communication and Computation: Joint Beamforming and Power Optimization With Imperfect CSI

被引：1

作者：

Luo, Hualiang ^{[1
]}

Li, Quanzhong ^{[2
]}

Zhang, Qi ^{[1
]}

Li, Yiqing ^{[3
]}

机构：

[1] Sun Yat Sen Univ, Sch Elect & Informat Technol, Guangzhou 510006, Peoples R China

[2] Sun Yat Sen Univ, Sch Comp Sci & Engn, Guangzhou 510006, Peoples R China

[3] Guangdong Univ Technol, Sch Comp Sci & Technol, Guangzhou 510006, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2024年 / 28卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Sensors; Optimization; Full-duplex system; Wireless networks; Stochastic processes; Interference; Time-frequency analysis; Over-the-air computation (AirComp); full-duplex communication; stochastic optimization; robust resource allocation; beamforming;

D O I：

10.1109/LCOMM.2024.3401687

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

This letter investigates a full-duplex enabled network that integrates communication and over-the-air computation (AirComp), where the base station (BS) performs uplink process for AirComp and downlink process for communication over the same time-frequency resources. Consider the case of imperfect channel state information, we formulate a stochastic sum rate maximization problem such that the mean square error of AirComp should be less than a given threshold and each node's power budget is limited. To solve the stochastic optimization problem, we propose a fast stochastic algorithm which jointly optimizes the beamforming at the BS and the power factors of sensors, and the solution of each optimization variable has a closed or semi-closed form. The numerical results show the effectiveness of the proposed algorithm.

引用

页码：1683 / 1687

页数：5

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