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
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
收藏
页码:1683 / 1687
页数:5
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