Finite-Blocklength RIS-Aided Transmit Beamforming

Monir Abughalwa; Hoang D. Tuan; Diep N. Nguyen; H. Vincent Poor; Lajos Hanzo

doi:10.1109/TVT.2022.3193443

Finite-Blocklength RIS-Aided Transmit Beamforming

Monir Abughalwa, Hoang D. Tuan, Diep N. Nguyen, H. Vincent Poor, Lajos Hanzo

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English (US)
Pages (from-to)	12374-12379
Number of pages	6
Journal	IEEE Transactions on Vehicular Technology
Volume	71
Issue number	11
DOIs	https://doi.org/10.1109/TVT.2022.3193443
State	Published - Nov 1 2022

All Science Journal Classification (ASJC) codes

Automotive Engineering
Aerospace Engineering
Electrical and Electronic Engineering
Applied Mathematics

Keywords

Geometric mean maximization
nonconvex optimization algorithms
reconfigurable intelligent surface
short (finite) blocklength communication
transmit beamforming
trigonometric function optimiza- tion

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10.1109/TVT.2022.3193443

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title = "Finite-Blocklength RIS-Aided Transmit Beamforming",

abstract = "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.",

keywords = "Geometric mean maximization, nonconvex optimization algorithms, reconfigurable intelligent surface, short (finite) blocklength communication, transmit beamforming, trigonometric function optimiza- tion",

author = "Monir Abughalwa and Tuan, {Hoang D.} and Nguyen, {Diep N.} and Poor, {H. Vincent} and Lajos Hanzo",

note = "Funding Information: The work of Monir Abughalwa was supported by an Australian Government Research Training Program Scholarship. The work of Hoang D. Tuan was supported by theAustralian Research Council 's Discovery Projects underGrant DP190102501. Thework ofH.Vincent Poorwas supported by the U.S. National Science Foundation under Grant CNS-2128448. The work of Lajos Hanzo was supported in part by the Engineering and Physical Sciences Research Council projects under Grants EP/P034284/1 and EP/P003990/1 (COALESCE), and in part by the European Research Council 's Advanced Fellow Grant QuantCom under Grant 789028. Publisher Copyright: {\textcopyright} 1967-2012 IEEE.",

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AU - Hanzo, Lajos

N1 - Funding Information: The work of Monir Abughalwa was supported by an Australian Government Research Training Program Scholarship. The work of Hoang D. Tuan was supported by theAustralian Research Council 's Discovery Projects underGrant DP190102501. Thework ofH.Vincent Poorwas supported by the U.S. National Science Foundation under Grant CNS-2128448. The work of Lajos Hanzo was supported in part by the Engineering and Physical Sciences Research Council projects under Grants EP/P034284/1 and EP/P003990/1 (COALESCE), and in part by the European Research Council 's Advanced Fellow Grant QuantCom under Grant 789028. Publisher Copyright: © 1967-2012 IEEE.

PY - 2022/11/1

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N2 - 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.

AB - 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.

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KW - trigonometric function optimiza- tion

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Finite-Blocklength RIS-Aided Transmit Beamforming

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