4.7 Article

IRS-Enabled Beam-Space Channel

期刊

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 21, 期 6, 页码 3822-3835

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2021.3124288

关键词

Scattering; Wireless communication; Antennas; Channel models; Array signal processing; Receiving antennas; Transmitting antennas; Beam-space channel; geometric channel; intelligent reflecting surface (IRS); mmWave communication

资金

  1. Scientific and Technological Research Council of Turkey (TUBITAK) [120C142]

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This paper emphasizes the importance of intelligent reflecting surfaces (IRS) as controlled scattering clusters, proposing a new channel model and investigating the role of IRS in beam-space. A segment-activation scheme is introduced to maximize received signal power.
The intelligent reflecting surface (IRS) is emphasized as a controlled scattering cluster. To this end, scatterers and traveling paths of multipath components are classified to build a new channel model. Unlike the conventional modeling, where the channels between system units are modeled independently, the new model considers the channel as a whole and decomposes it based on the traveling paths. The model shows clearly how IRS, in the beam-space context, converts the channel from a problem into a design element. After investigating IRS as a scattering cluster, based on a proposed segmentation scheme, the beamforming problem is considered with a focus on first-order reflections. Passive beamforming at IRS is shown to have two tiers; at the scatterer and antenna levels. A segment-activation scheme is proposed to maximize the received signal power, where the number of transmitting antenna elements to be used is given as a function of IRS positioning and beamforming at the receiver. The results show that while using more transmitting antenna elements to get narrower beams is possible, using fewer elements can give better performance, especially for larger IRS at close distances. The developed model also proves useful in addressing emerging issues in massive MIMO communication, namely, stationarity and spherical wavefronts.

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