TY - JOUR
AU - Matthaiou, Michail
AB - Abstract:This paper investigates the simultaneous wireless information and power transfer (SWIPT) capability of a modular extremely large multiple-input multiple-output (XL-MIMO) system, in the context of power consumption (PC) efficiency. The network users are divided into two functional categories: information decoding (ID) users and energy harvesting (EH) users. Non-stationary near-field channels are considered whilst the users are located in spatially distinct visibility regions (VRs). We formulate a two-tier joint optimization problem to minimize the PC, taking into account the power allocation (PA) for ID and EH users, along with the activation of constituent XL-MIMO subarrays. This complicated mixed-integer problem is transformed into more tractable formulations and efficient algorithms are proposed for solving them. The numerical results demonstrate that the overall PC of the XL-MIMO system for the proposed method is reduced by more than 60% in comparison to the benchmark scheme of equal PA with full subarray activation (SA) and 30% against the case of optimized PA with full SA, while satisfying the quality-of-service (QoS) constraints on both the downlink rate of the ID users and harvested energy at the EH users.
TI - Near-Field SWIPT Using XL-MIMO: Power Allocation and Subarray Activation
JO - Electrical Engineering and Systems Science
DO - 10.48550/arxiv.2506.20050
DA - 2025-06-24
UR - https://www.deepdyve.com/lp/arxiv-cornell-university/near-field-swipt-using-xl-mimo-power-allocation-and-subarray-j5gyNmLTu0
VL - 2025
IS - 2506
DP - DeepDyve
ER -