影响因子：6.239

DOI码：10.1109/TVT.2022.3160931

发表刊物：IEEE Transactions on Vehicular Technology

摘要：Benefiting from exploiting the waveform superposition property in the multi-access channels, over-the-air computation (AirComp) has emerged as a promising technique to swiftly compute functions of data from a large number of sensors. To enlarge the wireless coverage area, a two-phase multi-antenna amplify-and-forward (AF)-relay aided AirComp system is considered, where all the sensors transmit sensing data during both two phases in a half-duplex AF relay system with direct links. We present efficient designs for optimizing the transmit scalar vectors at the sensors, the AF matrix at the relay, and the aggregation vector at the access point, which aims to minimize the mean-square-error (MSE) subject to the transmit power budgets at the relay and the sensors, respectively. To solve the resultant multiple variables coupled non-convex optimization problem efficiently, we develop an alternating optimization-based algorithm to obtain locally optimal solutions. Specifically, in each iteration, closed-form expressions are derived for each optimizing variable. Finally, the computation distortion improvement of our proposed design over baseline schemes is demonstrated via simulations.

合写作者：张广驰,崔苗

第一作者：李亦卿

论文类型：期刊论文

通讯作者：姜淼

学科门类：工学

一级学科：信息与通信工程

文献类型：J

卷号：71

期号：6

页面范围：6744—6749

ISSN号：1939-9359

是否译文：否

发表时间：2022-06-01

收录刊物：SCI

发布期刊链接：https://ieeexplore.ieee.org/document/9739947