Sum Rate Optimization for MIMO Multicasting Network with Active IRS

This paper considers a multiple-input multiple-output (MIMO) multicasting system aided by the intelligent reflecting surface (IRS). We aim to maximize the sum information rate via jointly designing the transmit precoding matrix and the reflecting coefficient (RC) matrix, subject to the transmit powe...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of distributed sensor networks Vol. 2023; pp. 1 - 8
Main Authors Li, Ping, Bian, Jinhong
Format Journal Article
LanguageEnglish
Published Abingdon Hindawi 2023
John Wiley & Sons, Inc
Wiley
Subjects
Algorithms
Energy efficiency
Multicasting
Receivers & amplifiers
Reconfigurable intelligent surfaces
Unmanned aerial vehicles
Online AccessGet full text

Cover

More Information
Summary:This paper considers a multiple-input multiple-output (MIMO) multicasting system aided by the intelligent reflecting surface (IRS). We aim to maximize the sum information rate via jointly designing the transmit precoding matrix and the reflecting coefficient (RC) matrix, subject to the transmit power constrains of the Tx and IRS. To tackle the nonconvex problem, we recast the original problem into an equivalent formulation by using some important facts about matrices and proposed a block coordinate descent (BCD) method to optimize the variables. Finally, simulation results validate the effectiveness of active IRS in enhancing the rate performance.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1550-1329
1550-1477
DOI:10.1155/2023/5903661