AI 中文总结
本文针对混合近远场SWIPT系统，提出基于XL-MIMO的PA-SA-HB方案，通过优化子阵列激活和功率分配降低功耗，仿真显示其功耗较全阵列方案最高降低93%。
AI 中文摘要
本文研究混合近远场（MF）同时无线信息与能量传输（SWIPT）系统的功耗（PC）效率，该系统以基于混合波束成形（HB）的模块化超大规模多输入多输出（XL-MIMO）阵列为支撑。发射阵列的近场（NF）和远场（FF）区域内，多个组成子阵列服务多个信息解码（ID）用户和能量收集（EH）用户。本文提出一种新的决策方法，利用基于Frobenius范数的最小二乘（LS）信道估计的频率相关性，对不同场域用户进行准确分类。近场空间非平稳性（SnS）效应产生不同的电磁（EM）可见区域（VR），可通过战略性激活XL-MIMO组成子阵列进行定制。本文构建两级联合优化问题，以最小化总功耗，同时考虑ID和EH用户的功率分配（PA）以及子阵列激活（SA）。这一具有挑战性的混合整数问题被转化为计算上易于处理的形式，并开发了优化算法。仿真结果表明，与全阵列（FA）等功率分配方案相比，所提PA-SA-HB方案的总功耗降低高达93%；与PA-FA-HB方案相比，功耗降低高达18%。
英文摘要
This paper examines the power consumption (PC) efficiency of a mixed near- and far-field (MF) simultaneous wireless information and power transfer (SWIPT) system underpinned by a hybrid beamforming (HB)-based modular extra-large multiple-input-multiple output (XL-MIMO) array. Multiple information decoding (ID) and energy harvesting (EH) users are served by multiple constituent subarrays in both the near-field (NF) and far-field (FF) region of the transmit array. A novel decision method is proposed for accurate classification of different field users using Frobenius norm-based frequency correlation of the least square (LS) channel estimates. The NF spatial non-stationarities (SnS) effects entail distinct electromagnetic (EM) visibility regions (VRs), which can be customized to employ strategic activation of the constituent XL-MIMO subarrays. We formulate a two-tier joint optimization problem to minimize the overall PC, considering the power allocation (PA) for both ID and EH users in addition to the subarray activation (SA). This challenging mixed-integer problem is transformed into computationally tractable formulations, accompanied by the development of well-optimized algorithms. Our simulation results demonstrate an overall PC reduction for our proposed PA-SA-HB scheme by up to 93% against the equal PA with full array (FA) and up to 18% with respect to the PA-FA-HB case.
CommentsThis paper has been accepted for future issue of IEEE Transactions on Communications
