{"title":"6G无线网络多天线多irs辅助通信系统性能分析","authors":"Suresh Penchala , Shravan Kumar Bandari , Sivaprasad Valluri , V.V. Mani","doi":"10.1016/j.phycom.2025.102809","DOIUrl":null,"url":null,"abstract":"<div><div>A single-intelligent reflecting surface (IRS) assisted communication system is one of the potential solutions to address blockage issues by creating a virtual line-of-sight (LOS) link between the transmitter and the receiver. In this work, to address the limited coverage angle posed by single-IRS, a multi-antenna multi-IRS supported system model is considered under a generalized <span><math><mrow><mi>α</mi><mo>−</mo><mi>μ</mi></mrow></math></span> wireless fading channel. Deriving the statistical information of the equivalent signal-to-noise ratio (SNR), the theoretical expressions of bit error rate (BER), Ergodic capacity (EC), and outage probability were derived, which cover Rayleigh, Nakagami-m, and exponential distributions as corner cases. Extensive Monte Carlo (MC) simulations demonstrate the validity of all the analytical expressions. The investigation focused on examining the impact of individual parameters such as fading parameters, the number of IRSs, the number of reflecting elements, the number of antennas at the transmitter, and the position of the IRSs. A thorough comparative analysis reveals the fact that the multiple antenna multiple IRS system outperforms in all the performance metrics under consideration, with respect to the single IRS single-input single-output (SISO) system. Furthermore, we present an energy efficiency (EE) and energy consumption gain assessment for the multi-IRS system.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"72 ","pages":"Article 102809"},"PeriodicalIF":2.2000,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance analysis of multi-antenna multi-IRS assisted communication system for 6G wireless networks\",\"authors\":\"Suresh Penchala , Shravan Kumar Bandari , Sivaprasad Valluri , V.V. Mani\",\"doi\":\"10.1016/j.phycom.2025.102809\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A single-intelligent reflecting surface (IRS) assisted communication system is one of the potential solutions to address blockage issues by creating a virtual line-of-sight (LOS) link between the transmitter and the receiver. In this work, to address the limited coverage angle posed by single-IRS, a multi-antenna multi-IRS supported system model is considered under a generalized <span><math><mrow><mi>α</mi><mo>−</mo><mi>μ</mi></mrow></math></span> wireless fading channel. Deriving the statistical information of the equivalent signal-to-noise ratio (SNR), the theoretical expressions of bit error rate (BER), Ergodic capacity (EC), and outage probability were derived, which cover Rayleigh, Nakagami-m, and exponential distributions as corner cases. Extensive Monte Carlo (MC) simulations demonstrate the validity of all the analytical expressions. The investigation focused on examining the impact of individual parameters such as fading parameters, the number of IRSs, the number of reflecting elements, the number of antennas at the transmitter, and the position of the IRSs. A thorough comparative analysis reveals the fact that the multiple antenna multiple IRS system outperforms in all the performance metrics under consideration, with respect to the single IRS single-input single-output (SISO) system. Furthermore, we present an energy efficiency (EE) and energy consumption gain assessment for the multi-IRS system.</div></div>\",\"PeriodicalId\":48707,\"journal\":{\"name\":\"Physical Communication\",\"volume\":\"72 \",\"pages\":\"Article 102809\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-08-18\",\"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/S1874490725002125\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Communication","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1874490725002125","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}
Performance analysis of multi-antenna multi-IRS assisted communication system for 6G wireless networks
A single-intelligent reflecting surface (IRS) assisted communication system is one of the potential solutions to address blockage issues by creating a virtual line-of-sight (LOS) link between the transmitter and the receiver. In this work, to address the limited coverage angle posed by single-IRS, a multi-antenna multi-IRS supported system model is considered under a generalized wireless fading channel. Deriving the statistical information of the equivalent signal-to-noise ratio (SNR), the theoretical expressions of bit error rate (BER), Ergodic capacity (EC), and outage probability were derived, which cover Rayleigh, Nakagami-m, and exponential distributions as corner cases. Extensive Monte Carlo (MC) simulations demonstrate the validity of all the analytical expressions. The investigation focused on examining the impact of individual parameters such as fading parameters, the number of IRSs, the number of reflecting elements, the number of antennas at the transmitter, and the position of the IRSs. A thorough comparative analysis reveals the fact that the multiple antenna multiple IRS system outperforms in all the performance metrics under consideration, with respect to the single IRS single-input single-output (SISO) system. Furthermore, we present an energy efficiency (EE) and energy consumption gain assessment for the multi-IRS system.
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.