JOURNAL ARTICLE

Resource Allocation for Wireless Power Transmission over Full-Duplex NOMA Mobile Wireless Networks

Abstract

We investigate the resource allocation to enable wireless power transmission over a full-duplex (FD) wireless network, where an access point (AP) conducts downlink wireless information and power transfer (WIPT) to multiple mobile users, and in the meantime receives uplink information from the mobile users. To enable downlink WIPT, mobile users employ the power splitting technique to harvest energy and receive information from the received radio frequency (RF) signals concurrently. In particular, the system adopts the non-orthogonal multiple access (NOMA), and then multiple mobile users can leverage the same subcarriers for data transmission and reception. We maximize the minimum (max-min) uplink transmit rate among all mobile users to guarantee their fairness, where the subcarrier allocation, power allocation, and power splitting ratio selection are jointly optimized. Due to using NOMA, the formulated optimization problem is non- convex. Consequently, we develop the suboptimal scheme, by converting the non-convex objective function into a concave function and solving the formulated optimization problem using the convex programming and linear-programming. Finally, we validate and evaluate our proposed scheme through the numerical analyses.

Keywords:
Computer science Telecommunications link Transmitter power output Wireless Computer network Resource allocation Subcarrier Optimization problem Convex optimization Wireless network Transmission (telecommunications) Orthogonal frequency-division multiplexing Telecommunications Transmitter Algorithm Channel (broadcasting) Mathematics Regular polygon

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20
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0.54
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Citation History

Topics

Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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