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Reconfigurable intelligent surfaces (RISs) can suppress interference for coexisting wireless users, even with limited channel information. Performance depends on phase control bits and user angles, but can be improved by increasing RIS elements.

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Area of Science:

  • Wireless communication networks
  • Electromagnetic wave propagation
  • Signal processing

Background:

  • Reconfigurable intelligent surfaces (RISs) offer promising solutions for next-generation wireless networks by controlling the propagation environment.
  • Existing research on RIS effectiveness often assumes complete channel state information (CSI), with limited exploration of performance under partial or challenging CSI acquisition scenarios.
  • Interference management is critical in coexisting wireless networks, especially when dealing with non-cooperating users.

Purpose of the Study:

  • To investigate the interference suppression capabilities of RISs for secondary users (SUs) coexisting with primary users (PUs) in a non-cooperating network.
  • To evaluate RIS performance using only angular information, which is achievable even with non-cooperating PUs.
  • To develop and compare optimization techniques for both continuous and discrete phase control in RISs for interference mitigation.

Main Methods:

  • Employing semidefinite relaxation (SDR) and inner majorization minimization (iMM) for RISs with continuous phase control.
  • Proposing an enhanced SDR algorithm specifically designed for discrete RIS phase control.
  • Utilizing angular information for interference suppression, bypassing the need for full CSI from non-cooperating PUs.
  • Conducting full-wave simulations to validate the coexistence performance in a non-cooperative network setting.

Main Results:

  • Both SDR and iMM methods require a minimum of five bits of discrete phase control for effective interference suppression.
  • Interference suppression performance degrades when primary users are located within specific angular regions.
  • The limitation in certain angular regions varies depending on the algorithm used but can be overcome by increasing the number of RIS elements.
  • Full-wave simulations confirmed the practical feasibility of RIS-assisted coexistence in non-cooperative wireless environments.

Conclusions:

  • RISs demonstrate significant potential for interference management in coexisting wireless networks, even under challenging conditions like non-cooperating users and limited CSI.
  • The number of discrete phase control bits and the angular positions of users are critical factors influencing RIS performance.
  • Algorithmic choices and the physical configuration of the RIS (number of elements) play crucial roles in optimizing interference suppression.
  • The study validates the effectiveness of RISs in enhancing the performance of future wireless systems through advanced optimization and simulation techniques.