Finite-Blocklength RIS-Aided Transmit Beamforming

被引：14

作者：

Abughalwa, Monir ^{[1
]}

Tuan, Hoang D. ^{[1
]}

Nguyen, Diep N. ^{[1
]}

Poor, H. Vincent ^{[2
]}

Hanzo, Lajos ^{[3
]}

机构：

[1] Univ Technol, Sch Elect & Data Engn, Sydney, NSW 2007, Australia

[2] Princeton Univ, Dept Elect & Comp Engn, Princeton, NJ 08544 USA

[3] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, England

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2022年 / 71卷 / 11期

基金：

英国工程与自然科学研究理事会;

关键词：

Geometric mean maximization; nonconvex optimization algorithms; reconfigurable intelligent surface; short (finite) blocklength communication; transmit beamforming; trigonometric function optimization; RECONFIGURABLE INTELLIGENT SURFACES; PROBABILITY ANALYSIS; REGIME; DESIGN; PROPER;

D O I：

10.1109/TVT.2022.3193443

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper considers the downlink of an ultra-reliable low-latency communication (URLLC) system in which a base station (BS) serves multiple single-antenna users in the short (finite) blocklength (FBL) regime with the assistance of a reconfigurable intelligent surface (RIS). In the FBL regime, the users' achievable rates are complex functions of the beamforming vectors and of the RIS's programmable reflecting elements (PREs). We propose the joint design of the transmit beamformers and PREs to maximize the geometric mean (GM) of these rates (GM-rate) and show that this approach provides fair rate distribution and thus reliable links to all users. A novel computational algorithm is developed, which is based on closed forms to generate improved feasible points. Simulations show the merit of our solution.

引用

页码：12374 / 12379

页数：6

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