{"title":"Performance Analysis of IRS-Assisted Networks With Near- and Far-Field Effects","authors":"Di Yi;Hongtao Zhang","doi":"10.1109/TVT.2024.3510688","DOIUrl":null,"url":null,"abstract":"Existing research on performance analysis of intelligent reflecting surfaces (IRS) regularly assumes that the signal transmitted by the IRS is attenuated under far-field conditions. However, the transmission signal shows different characteristics as relative distance varying and the close-range attributes of IRS render existing performance analyses inapplicable. In this paper, a general channel model with a tractable boundary is characterized and the near- and far-field of IRS are distinguished by applying different power scaling laws (e.g. additive and multiplicative path loss) for transmission signal in the channel as well as utilizing Rayleigh distance to demarcate the fields, based on which we analyzed the performance of IRS-assisted networks. Specifically, the impact of IRS element size is modeled into the near- and far-field effects, which directly alters the near-field boundary and influences the receiving signal power of user equipment (UE). In addition, the conditional signal power distribution is characterized as a piecewise function based on the division of Rayleigh distance and the interference Laplace function is rederived accordingly. The numerical results analyze the impact of near- and far-field effects, as well as different IRS parameters, on coverage probability, which demonstrates the significant variation of network performance compared to the far-field assumption when system parameter changes.","PeriodicalId":13421,"journal":{"name":"IEEE Transactions on Vehicular Technology","volume":"74 4","pages":"6739-6744"},"PeriodicalIF":7.1000,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Vehicular Technology","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10810732/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Existing research on performance analysis of intelligent reflecting surfaces (IRS) regularly assumes that the signal transmitted by the IRS is attenuated under far-field conditions. However, the transmission signal shows different characteristics as relative distance varying and the close-range attributes of IRS render existing performance analyses inapplicable. In this paper, a general channel model with a tractable boundary is characterized and the near- and far-field of IRS are distinguished by applying different power scaling laws (e.g. additive and multiplicative path loss) for transmission signal in the channel as well as utilizing Rayleigh distance to demarcate the fields, based on which we analyzed the performance of IRS-assisted networks. Specifically, the impact of IRS element size is modeled into the near- and far-field effects, which directly alters the near-field boundary and influences the receiving signal power of user equipment (UE). In addition, the conditional signal power distribution is characterized as a piecewise function based on the division of Rayleigh distance and the interference Laplace function is rederived accordingly. The numerical results analyze the impact of near- and far-field effects, as well as different IRS parameters, on coverage probability, which demonstrates the significant variation of network performance compared to the far-field assumption when system parameter changes.
期刊介绍:
The scope of the Transactions is threefold (which was approved by the IEEE Periodicals Committee in 1967) and is published on the journal website as follows: Communications: The use of mobile radio on land, sea, and air, including cellular radio, two-way radio, and one-way radio, with applications to dispatch and control vehicles, mobile radiotelephone, radio paging, and status monitoring and reporting. Related areas include spectrum usage, component radio equipment such as cavities and antennas, compute control for radio systems, digital modulation and transmission techniques, mobile radio circuit design, radio propagation for vehicular communications, effects of ignition noise and radio frequency interference, and consideration of the vehicle as part of the radio operating environment. Transportation Systems: The use of electronic technology for the control of ground transportation systems including, but not limited to, traffic aid systems; traffic control systems; automatic vehicle identification, location, and monitoring systems; automated transport systems, with single and multiple vehicle control; and moving walkways or people-movers. Vehicular Electronics: The use of electronic or electrical components and systems for control, propulsion, or auxiliary functions, including but not limited to, electronic controls for engineer, drive train, convenience, safety, and other vehicle systems; sensors, actuators, and microprocessors for onboard use; electronic fuel control systems; vehicle electrical components and systems collision avoidance systems; electromagnetic compatibility in the vehicle environment; and electric vehicles and controls.