Zhang, Y;
Xia, W;
Zhao, H;
Xu, W;
Wong, KK;
Yang, L;
(2022)
Cell-Free IoT Networks with SWIPT: Performance Analysis and Power Control.
IEEE Internet of Things Journal
, 9
(15)
pp. 13780-13793.
10.1109/JIOT.2022.3143531.
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Abstract
In this paper, the performance of simultaneous wireless information and power transfer (SWIPT) in downlink (DL) Internet-of-things (IoT) networks relying on cell-free massive multiple-input multiple-output (CF-mMIMO) technique is investigated. In such a network, the access points (APs) beam the radio-frequency (RF) energy toward IoT sensors during the DL wireless power transfer phase. Tight closed-form expressions for DL harvested energy (HE) and achievable rate with conjugate beamforming (CB) and normalized CB (NCB) are respectively derived, which enable us to analyze the behaviors of CB and NCB schemes in terms of both HE and achievable rate. Apart from this, to guarantee sensor fairness with respect to the HE and achievable rate, a max-min power control strategy based on the accelerated projected gradient (APG) method is proposed. Specifically, the proposed APG-based power control is able to determine the optimal solution in closed form and is more memory-efficient than the convex-solver-based counterpart. These analytical results as well as the effectiveness of the proposed power control policy are verified by experimental simulations.
| Type: | Article |
|---|---|
| Title: | Cell-Free IoT Networks with SWIPT: Performance Analysis and Power Control |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/JIOT.2022.3143531 |
| Publisher version: | https://doi.org/10.1109/JIOT.2022.3143531 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Simultaneous wireless information and power transfer (SWIPT), Internet-of-things (IoT), cell-free massive multiple-input multiple-output (CF-mMIMO), max-min power control, accelerated projected gradient (APG) |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10142823 |
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