Robust Beamforming and Time Allocation for Full-Duplex Wireless-Powered Communication Networks

We propose a joint optimization of beamforming and time allocation for full-duplex (FD) wireless-powered communication networks (WPCNs). In FD-WPCNs, an FD-enabled hybrid access point (HAP) having multiple antennas broadcasts radio frequency (RF) energy to users, and concurrently each user transmits...

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Bibliographic Details
Published inIEEE communications letters Vol. 23; no. 9; pp. 1665 - 1669
Main Authors Lee, Jai-Hoon, Cho, Yong-Ho, Park, Dong-Jo, Chang, Dong Eui
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Beamforming
Broadcasting antennas
Communication networks
Communications networks
Energy beamforming
energy harvesting
Fading channels
full duplex
Load management
Multiuser detection
Optimization
Power supplies
Power system reliability
Probability
Radio broadcasting
Radio frequency
Relays
Robustness (mathematics)
Signal to noise ratio
Wireless communications
Wireless networks
wireless powered communication networks
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Summary:We propose a joint optimization of beamforming and time allocation for full-duplex (FD) wireless-powered communication networks (WPCNs). In FD-WPCNs, an FD-enabled hybrid access point (HAP) having multiple antennas broadcasts radio frequency (RF) energy to users, and concurrently each user transmits its own information to the HAP. Due to a lack of fixed power supplies at the users, it is difficult for the HAP to have accurate channel state information (CSI) of all links. Therefore, in this letter, a robust algorithm is proposed to maximize the weighted sum rate of the users against the uncertainty of the CSI using the relationship between the weighted sum rate and the weighted sum of mean-square error. Numerical results demonstrate that the proposed algorithm provides robustness against imperfect channel knowledge and benefits of utilizing multiple antennas in the FD-WPCNs.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2019.2926034