Simulation-based comparison of energy and spectral efficiency in IRS-assisted wireless communication systems

IF 2.2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication Pub Date : 2025-08-09 DOI:10.1016/j.phycom.2025.102800

Ayalew Tadese Kibret , Amare Kassaw Yimer , Belayneh Sisay Alemu

引用次数: 0

Abstract

Intelligent Reflecting Surfaces (IRSs) are a key enabler for 6G networks, enhancing signal propagation with minimal receiver-side processing. While promising, optimizing energy efficiency (EE) and spectral efficiency (SE) remains a challenge under varying channel conditions and growing network demands. This study analyzes multi-IRS deployments with 1, 2, 4, and 6 IRS blocks (each with 400 elements) using realistic path loss and an alternative optimization (AO) framework. Results show that the 6-IRS setup achieves 5.1 bits/Joule at 50 meters a 467% improvement over the single-IRS system (0.9 bits/Joule) and maintains 1.2 bits/Joule at 700 meters, a 500% gain. SE follows similar trends. Thus, multi-IRS systems significantly enhance EE and SE, offering a scalable solution for future 6G networks.

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基于仿真的irs辅助无线通信系统能量和频谱效率比较

智能反射面（IRSs）是6G网络的关键推动因素，可以通过最小的接收端处理来增强信号传播。虽然前景广阔，但在不同的信道条件和不断增长的网络需求下，优化能源效率（EE）和频谱效率（SE）仍然是一个挑战。本研究使用实际路径损失和备选优化（AO）框架，分析了具有1、2、4和6个IRS块（每个块有400个元素）的多IRS部署。结果表明，6-IRS系统在50米处达到5.1比特/焦耳，比单irs系统（0.9比特/焦耳）提高了467%，在700米处保持1.2比特/焦耳，提高了500%。SE也有类似的趋势。因此，多irs系统显著增强了EE和SE，为未来的6G网络提供了可扩展的解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.