IET Communications (Aug 2022)

Design of dynamic active‐passive beamforming for reconfigurable intelligent surfaces assisted hybrid VLC/RF communications

  • Yufeng Han,
  • Yue Xiao,
  • Xiaonan Zhang,
  • Yulan Gao,
  • Qiaonan Zhu,
  • Binhong Dong

DOI
https://doi.org/10.1049/cmu2.12432
Journal volume & issue
Vol. 16, no. 13
pp. 1531 – 1544

Abstract

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Abstract The hybrid visible light communication (VLC)/radio frequency (RF) communications are investigated with the aid of reconfigurable intelligent surfaces (RISs) in dynamic wireless networks, where the RIS access selection processes of VLC/RF users are updated depending on the channel quality dynamically. Specifically, a dynamic optimization problem due to the mobility of users and time‐varying selection strategy is formulated. Under the constraints of the average minimum rate for VLC/RF users and the maximum transmit power constraints for VLC/RF access points (APs), the target is to minimize the average long‐term power consumption, by jointly considering the active beamforming at APs and the passive beamforming at RISs. Based on the Lyapunov optimization framework and the drift‐plus‐penalty (DPP) algorithm, the original optimization problem is transformed into corresponding short‐term problems at each frame. Furthermore, the closed form solutions with active‐passive beamforming are derived using the fractional programming method based on the Lagrangian dual theory. Finally, numerical results demonstrate the convergence and effectiveness of the proposed optimization algorithm.