Tang, J;
Peng, Z;
Zhou, Z;
So, DKC;
Zhang, X;
Wong, KK;
(2023)
Energy-Efficient Resource Allocation for IRS-aided MISO System with SWIPT.
In:
2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings.
(pp. pp. 3217-3222).
IEEE
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Abstract
Combining simultaneous wireless information and power transfer (SWIPT) and intelligent reflecting surface (IRS) is a feasible scheme to enhance the energy efficiency (EE) performance. In this paper, we investigate a multiuser IRS-aided multiple-input single-output (MISO) system with SWIPT. For the purpose of maximizing the EE of the system, we jointly optimize the base station (BS) transmit beamforming vectors, the IRS reflective beamforming vector and the power splitting (PS) ratios, while considering the maximum transmit power budget, the IRS reflection constraints and the quality of service (QoS) requirements containing the minimum data rate and the minimum harvested energy per user. As the proposed EE maximization problem is non-convex and extremely complex, we propose an efficient alternating optimization (AO) algorithm by decoupling the original problem into three subproblems which are tackled iteratively by using the Dinkelbach method. In particular, we apply the successive convex approximation (SCA) as well as the semi-definite relaxation (SDR) techniques to solve the non-convex transmit beamforming and reflective beamforming optimization subproblems. Numerical results confirm the effectiveness of the AO algorithm as well as the benefit of deploying IRS for enhancing the EE performance compared with the benchmark schemes.
| Type: | Proceedings paper |
|---|---|
| Title: | Energy-Efficient Resource Allocation for IRS-aided MISO System with SWIPT |
| Event: | 2022 IEEE Global Communications Conference, GLOBECOM 2022 |
| Dates: | 4 Dec 2022 - 8 Dec 2022 |
| ISBN-13: | 9781665435406 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/GLOBECOM48099.2022.10000645 |
| Publisher version: | https://doi.org/10.1109/GLOBECOM48099.2022.1000064... |
| 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: | Wireless communication, Array signal processing, Quality of service, MISO communication, Benchmark testing, Approximation algorithms, Energy efficiency |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS 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 |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10164841 |
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