Journal
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
Volume 40, Issue 5, Pages 1667-1678Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSAC.2022.3143216
Keywords
Radio frequency; Channel estimation; Wireless communication; Reliability; Shadow mapping; Degradation; Array signal processing; Intelligent reflecting surface; IRS-user association; user mobility; multibeam transmission
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This paper proposes an IRS-user association strategy considering user mobility for IRS-aided multibeam transmission systems, aiming to optimize system capacity and reliability, while reducing channel estimation overhead.
In recent years, intelligent reflecting surfaces (IRSs) for large-capacity and highly reliable wireless communication have attracted widespread attention. However, a multiuser access system with multiple IRSs poses limitations in reducing the large signaling overhead of channel estimation for numerous links between the IRSs and users. One approach to reduce the exhaustive channel estimation involves associating the IRS with a user and performing beam tracking for a certain period. However, as the IRS-user association is fixed during the tracking period, the dynamic variations in their link status caused by user mobility degrade the system performance if the association is decided without prior planning. Therefore, this paper proposes an IRS-user association strategy considering user mobility for IRS-aided multibeam transmission systems. Contrary to prior works, our association strategy aims to optimize the long-term performance of systems in terms of capacity and reliability. The proposed strategy minimized performance degradation even under drastic fluctuations of link conditions, thereby reducing channel estimation overhead because both the IRS and user can be associated for long periods with low performance degradation.
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