Near-Field Energy Harvesting Using XL-MIMO Over Non-Stationary Channels
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911021354975232 |
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| author | Mumtaz, Muhammad Zeeshan Mohammadi, Mohammadali Ngo, Hien Quoc Matthaiou, Michail |
| author_facet | Mumtaz, Muhammad Zeeshan Mohammadi, Mohammadali Ngo, Hien Quoc Matthaiou, Michail |
| contents | This paper explores the maximization of the harvested power efficiency (HPE) in a modular extremely large multiple-input multiple-output (XL-MIMO) system, which supports energy harvesting (EH) for near-field users. These users are located in spatially distinct visibility regions (VRs) with non-stationary channel characteristics. We propose to determine which sub-arrays are switched on or off as well the power control coefficients at the sub-arrays to maximize the HPE. The design can be processed via a multi-tier joint optimization framework based on fractional programming. The numerical results showcase that the HPE performance of the proposed algorithm is nearly optimal, comparable to that of exhaustive search. As a matter of fact, it achieves up to a 120% gain over the benchmark scheme which uses the entire XL-MIMO array with equal power allocation (PA) across sub-arrays, while significantly reducing the computational time. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_20067 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Near-Field Energy Harvesting Using XL-MIMO Over Non-Stationary Channels Mumtaz, Muhammad Zeeshan Mohammadi, Mohammadali Ngo, Hien Quoc Matthaiou, Michail Signal Processing This paper explores the maximization of the harvested power efficiency (HPE) in a modular extremely large multiple-input multiple-output (XL-MIMO) system, which supports energy harvesting (EH) for near-field users. These users are located in spatially distinct visibility regions (VRs) with non-stationary channel characteristics. We propose to determine which sub-arrays are switched on or off as well the power control coefficients at the sub-arrays to maximize the HPE. The design can be processed via a multi-tier joint optimization framework based on fractional programming. The numerical results showcase that the HPE performance of the proposed algorithm is nearly optimal, comparable to that of exhaustive search. As a matter of fact, it achieves up to a 120% gain over the benchmark scheme which uses the entire XL-MIMO array with equal power allocation (PA) across sub-arrays, while significantly reducing the computational time. |
| title | Near-Field Energy Harvesting Using XL-MIMO Over Non-Stationary Channels |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2506.20067 |