期刊
IEEE WIRELESS COMMUNICATIONS LETTERS
卷 10, 期 9, 页码 1944-1948出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2021.3087495
关键词
Intelligent reflecting surface; wireless powered network; hybrid NOMA and TDMA; throughput maximization
资金
- Guangdong STPP [2019B010119001, 2020A050515010, 2021A0505030015]
- Guangdong High-Level Talent Plan [2019TQ05X409]
- Macau FDCT [0119/2020/A3, 0108/2020/A]
- Guangdong NSF [2021A1515011900]
- ORF of National Mobile Communication Lab of Southeast University [2021D15]
This letter investigates an IRS-assisted wireless powered communication network, optimizing reflect beamforming and time allocation to maximize network throughput, with proposed algorithm showing effectiveness in solving the problem and simulation results illustrating the impact of user clustering on network performance.
The high reflect beamforming gain of the intelligent reflecting surface (IRS) makes it appealing not only for wireless information transmission but also for wireless power transfer. In this letter, we consider an IRS-assisted wireless powered communication network, where a base station (BS) transmits energy to multiple users grouped into multiple clusters in the downlink, and the clustered users transmit information to the BS in the manner of hybrid non-orthogonal multiple access and time division multiple access in the uplink. We investigate optimizing the reflect beamforming of the IRS and the time allocation among the BS's power transfer and different user clusters' information transmission to maximize the throughput of the network, and we propose an efficient algorithm based on the block coordinate ascent, semidefinite relaxation, and sequential rank-one constraint relaxation techniques to solve the resultant problem. Simulation results have verified the effectiveness of the proposed algorithm and have shown the impact of user clustering setup on the throughput performance of the network.
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