Mao, Sun and Zhang, Ning and Liu, Lei and Liu, Tang and Hu, Jie and Yang, Kun and Niyato, Dusit (2023) Joint Beamforming and Reflecting Design for IRS-aided Wireless Powered Over-the-Air Computation and Communication Networks. IEEE Transactions on Communications, 72 (4). pp. 2216-2231. DOI https://doi.org/10.1109/tcomm.2023.3343384
Mao, Sun and Zhang, Ning and Liu, Lei and Liu, Tang and Hu, Jie and Yang, Kun and Niyato, Dusit (2023) Joint Beamforming and Reflecting Design for IRS-aided Wireless Powered Over-the-Air Computation and Communication Networks. IEEE Transactions on Communications, 72 (4). pp. 2216-2231. DOI https://doi.org/10.1109/tcomm.2023.3343384
Mao, Sun and Zhang, Ning and Liu, Lei and Liu, Tang and Hu, Jie and Yang, Kun and Niyato, Dusit (2023) Joint Beamforming and Reflecting Design for IRS-aided Wireless Powered Over-the-Air Computation and Communication Networks. IEEE Transactions on Communications, 72 (4). pp. 2216-2231. DOI https://doi.org/10.1109/tcomm.2023.3343384
Abstract
To satisfy the heterogeneous service requirements in future internet of things (IoT), this paper investigates the novel framework for intelligent reflecting surface (IRS)-aided wireless powered over-the-air computation (AirComp) and communication networks, where the IoT devices first harvest energy from the downlink signal sent by the base station, and then conduct the information transmissions and AirComp in the uplink. In particular, the IRS is used to improve the efficiency of wireless energy transfer, and alleviate the harmful interference between the communication and AirComp signals. To balance the performance of such an integrated system, we present two joint beamforming and reflection optimization problems via minimizing the computation distortion and maximizing the sum rate, respectively. To solve the non-convex problems, we develop the alternating optimization framework with proved convergence, in which the penalty function-based method and variable substitution technique are exploited to acquire the optimal solutions of beamformers and reflection parameters. Finally, simulation results show that the proposed method realizes significantly higher computation accuracy and communication rate, in comparison with several existing benchmark methods.
Item Type: | Article |
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Uncontrolled Keywords: | Intelligent reflecting surface; over-the-air computation; non-orthogonal multiple access; wireless energy transfer; Internet of Things |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 09 Jan 2024 16:15 |
Last Modified: | 22 Apr 2024 16:49 |
URI: | http://repository.essex.ac.uk/id/eprint/37526 |
Available files
Filename: Joint_Beamforming_and_Reflecting_Design_for_IRS-aided_Wireless_Powered_Over-the-Air_Computation_and_Communication_Networks.pdf