在波域中实现多用户波束形成的基于gwo的SIM配置

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication Pub Date : 2025-03-04 DOI:10.1016/j.phycom.2025.102648

Abdel Nasser Soumana Hamadou , Ciira wa Maina , Kibet Lang’at , Moussa Moindze Soidridine

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引用次数: 0

摘要

堆叠的智能元表面，被称为堆叠智能元表面（SIM），代表了一种新兴的设计范式，用于直接在本地电磁波域中实现高级信号处理。本研究的重点是优化SIM配置，以最大化多用户系统的下行链路求和速率。与先前对SIM辅助多用户多输入单输出（MISO）系统的研究不同，我们定制了灰狼优化器（GWO）来设计SIM相移以最大化系统的求和速率。仿真结果表明，该方法在保持较低复杂度的同时，在系统和速率方面与交替优化（AO）方案的性能接近。

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GWO-based SIM configuration for implementing multiuser beamforming in the wave domain

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.

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来源期刊

Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS

CiteScore

5.00

自引率

9.10%

发文量

212

审稿时长

55 days

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.