Optimal Energy Beamforming to Minimize Transmit Power in a Multi-Antenna Wireless Powered Communication Network

In this paper, we study the transmit power minimization problem with optimal energy beamforming in a multi-antenna wireless powered communication network (WPCN). The considered network consists of one hybrid access point (H-AP) with multiple antennae and multiple users with a single antenna each. Th...

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Bibliographic Details
Published inElectronics (Basel) Vol. 10; no. 4; p. 509
Main Authors Hameed, Iqra, Tuan, Pham-Viet, Camana, Mario R., Koo, Insoo
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 22.02.2021
Subjects
Access to information
Antennas
Approximation
Beamforming
Broadcasting antennas
Communication
Communications networks
Complexity
Convex analysis
Downlinking
Energy efficiency
Energy transfer
Iterative methods
Optimization
Performance evaluation
Power supply
Radio frequency identification
Receivers & amplifiers
Wireless communications
Wireless networks
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Summary:In this paper, we study the transmit power minimization problem with optimal energy beamforming in a multi-antenna wireless powered communication network (WPCN). The considered network consists of one hybrid access point (H-AP) with multiple antennae and multiple users with a single antenna each. The H-AP broadcasts an energy signal on the downlink, using energy beamforming to enhance the efficiency of the transmit energy. In this paper, we jointly optimize the downlink time allocation for wireless energy transfer (WET), the uplink time allocation for each user to send a wireless information signal to the H-AP, the power allocation to each user on the uplink, and the downlink energy beamforming vectors while controlling the transmit power at the H-AP. It is challenging to solve this non-convex complex optimization problem because it is numerically intractable and involves high computational complexity. We exploit a sequential parametric convex approximation (SPCA)-based iterative method, and propose optimal and sub-optimal solutions for the transmit power minimization problem. All the proposed schemes are verified by numerical simulations. Through the simulation results, we present the performance of the proposed schemes based on the effect of the number of transmit antennae and the number of users in the proposed WPCN. Through the performance evaluation, we show that the SPCA-based joint optimization solution performance is superior to other solutions.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics10040509