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Joint Energy Efficiency Optimization for Uplink Multiuser Movable Antenna-Based Wireless Systems Assisted by Movable-Element RIS

Ayda Nodel Hokmabadi, Mohamed Elhattab, Chadi Assi

Abstract

This paper investigates energy efficiency (EE) optimization for an uplink multiuser system assisted by a movable-element reconfigurable intelligent surface (ME-RIS) and a base station equipped with movable antennas (MA-BS). We jointly optimize the uplink postcoder vectors, user transmit powers, RIS phase shift, and the positions of both the BS antennas and RIS elements to maximize the system EE. The resulting non-convex fractional problem is solved using an alternating optimization (AO) framework, where subproblems are handled via Dinkelbach's method combined with successive convex approximation (SCA). Simulation results show that the proposed scheme achieves significant EE gains over fixed-antenna BS and fixed-element RIS benchmarks.

Joint Energy Efficiency Optimization for Uplink Multiuser Movable Antenna-Based Wireless Systems Assisted by Movable-Element RIS

Abstract

This paper investigates energy efficiency (EE) optimization for an uplink multiuser system assisted by a movable-element reconfigurable intelligent surface (ME-RIS) and a base station equipped with movable antennas (MA-BS). We jointly optimize the uplink postcoder vectors, user transmit powers, RIS phase shift, and the positions of both the BS antennas and RIS elements to maximize the system EE. The resulting non-convex fractional problem is solved using an alternating optimization (AO) framework, where subproblems are handled via Dinkelbach's method combined with successive convex approximation (SCA). Simulation results show that the proposed scheme achieves significant EE gains over fixed-antenna BS and fixed-element RIS benchmarks.

Paper Structure

This paper contains 17 sections, 23 equations, 4 figures, 1 table, 1 algorithm.

Table of Contents

  1. Introduction
  2. Contributions
  3. System Model
  4. Network Model
  5. Signal Model
  6. Field-Response Based Channel Model
  7. System Channels
  8. Energy Efficiency
  9. Problem Formulation
  10. Proposed AO-based algorithms
  11. Uplink Postcoding Vectors at BS ($\boldsymbol{v}_k$)
  12. Power Allocation ($\mathbf{p}$)
  13. ME--RIS Phase Shift Profile ($\boldsymbol{\Phi}$)
  14. Position Optimization of MA-BS ($\mathbf{U}$) and ME-RIS ($\mathbf{T}$)
  15. Computational Complexity Analysis
  16. ...and 2 more sections

Figures (4)

  • Figure 1: System model
  • Figure 2: Convergence behavior of the AO algorithm
  • Figure 3: EE performance versus $P_{\max}$.
  • Figure 4: EE performance versus $N$, $M$, and $K$.