{"title":"GWO-based SIM configuration for implementing multiuser beamforming in the wave domain","authors":"Abdel Nasser Soumana Hamadou , Ciira wa Maina , Kibet Lang’at , Moussa Moindze Soidridine","doi":"10.1016/j.phycom.2025.102648","DOIUrl":null,"url":null,"abstract":"<div><div>Intelligent metasurfaces arranged in a stacked configuration, known as stacked intelligent metasurfaces (SIM), represent an emerging design paradigm for implementing advanced signal processing directly within the native electromagnetic wave domain. This study focuses on optimising the SIM configuration to maximise the downlink sum rate of multiuser systems. Unlike prior research on SIM-aided multiuser multiple-input single-output (MISO) systems, we customise a Grey Wolf Optimiser (GWO) for designing SIM phase shifts to maximise the system’s sum rate. Through simulations, we demonstrate that the proposed GWO-based method can closely match the performance of the alternating optimisation (AO) scheme for the system sum rate while maintaining low complexity.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"70 ","pages":"Article 102648"},"PeriodicalIF":2.0000,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Communication","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1874490725000515","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Intelligent metasurfaces arranged in a stacked configuration, known as stacked intelligent metasurfaces (SIM), represent an emerging design paradigm for implementing advanced signal processing directly within the native electromagnetic wave domain. This study focuses on optimising the SIM configuration to maximise the downlink sum rate of multiuser systems. Unlike prior research on SIM-aided multiuser multiple-input single-output (MISO) systems, we customise a Grey Wolf Optimiser (GWO) for designing SIM phase shifts to maximise the system’s sum rate. Through simulations, we demonstrate that the proposed GWO-based method can closely match the performance of the alternating optimisation (AO) scheme for the system sum rate while maintaining low complexity.
期刊介绍:
PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published.
Topics of interest include but are not limited to:
Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.