DMA-Aided MU-MISO Systems for Power Splitting SWIPT via Lorentzian-Constrained Holography

TL;DR

This paper develops an optimal power splitting and beamforming method for DMA-aided MU-MISO SWIPT systems, using Lorentzian-constrained holography to reduce power consumption while satisfying user requirements.

Contribution

It introduces an SDP-based optimization framework that incorporates Lorentzian constraints and evaluates nonlinear energy harvesting models in DMA-assisted SWIPT.

Findings

Significant power reduction compared to baseline methods

Effective integration of Lorentzian-constrained holography schemes

Enhanced energy harvesting performance with optimized beamforming

Abstract

This paper presents an optimal power splitting and beamforming design for co-located simultaneous wireless information and power transfer (SWIPT) users in Dynamic Metasurface Antenna (DMA)-aided multiuser multiple-input single-output (MISO) systems. The objective is to minimize transmit power while meeting users signal-to-interference-plus-noise ratio (SINR) and energy harvesting (EH) requirements. The problem is solved via an alternating optimization framework based on semidefinite programming (SDP), where metasurface tunability follows Lorentzian-constrained holography (LCH). In contrast to traditional beamforming architectures, DMA-assisted architectures reduce the need for RF chains and phase shifters but require optimization under the Lorentzian constraint limiting the amplitude and phase optimizations. Hence, the proposed method integrates several LCH schemes, including the recently proposed adaptive-radius LCH (ARLCH), and evaluates nonlinear EH models and circuit noise effects. Simulation results show that the proposed design significantly reduces transmit power compared with baseline methods, highlighting the efficiency of ARLCH and optimal power splitting in DMA-assisted SWIPT systems.