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A gradient-based algorithm for joint beamforming and reflection design in RIS-assisted mobile communications
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DOI：10.1016/j.dsp.2025.105298.png)
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Abstract
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Reconfigurable intelligent surfaces (RISs) have emerged as a transformative technology for shaping the propagation environment in next-generation mobile communication systems, creating the need for efficient optimization strategies. In this context, this paper introduces a gradient-based algorithm for jointly optimizing beamforming and reflection design in the uplink of RIS-assisted multi-user (MU) multiple-input single-output (MISO) systems. The proposed approach addresses the sum-rate capacity maximization problem while significantly reducing computational complexity. To achieve this, the optimization problem is reformulated by using eigenvalue minimization, thereby reducing computational burden. This reformulation reduces computational demands without compromising the sum-rate performance. The proposed algorithm incorporates both steepest descent and the damped quasi-Newton Broyden-Fletcher-Goldfarb-Shanno (BFGS) approximation, enabling flexible trade-offs between computational efficiency and convergence rate. Simulation results confirm the effectiveness of the proposed algorithm in enhancing the sum-rate capacity.
Keywords:
Beamforming optimization
Gradient-based algorithms
Mobile communication
Quasi-Newton approximation
Reconfigurable intelligent surface
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