Throughput Maximization for Full Duplex Wireless Powered Communication Networks

TL;DR

This paper develops an optimization framework for maximizing throughput in full duplex wireless powered communication networks, considering realistic energy harvesting and battery constraints, and proposes a near-optimal scheduling algorithm.

Contribution

It introduces a joint optimization approach for power control, time allocation, and scheduling in full duplex wireless powered networks, with a polynomial-time heuristic algorithm.

Findings

The proposed heuristic achieves near-optimal throughput.

It significantly outperforms equal time allocation schemes.

The power and time allocation problem is convex for fixed transmission order.

Abstract

In this paper, we consider a full duplex wireless powered communication network where multiple users with RF energy harvesting capabilities communicate to a hybrid energy and information access point. An optimization framework is proposed with the objective of maximizing the sum throughput of the users subject to energy causality and maximum transmit power constraints considering a realistic energy harvesting model incorporating initial battery levels of the users. The joint optimization of power control, time allocation and scheduling is mathematically formulated as a mixed integer non linear programming problem which is hard to solve for a global optimum. The optimal power and time allocation and scheduling decisions are investigated separately based on the optimality analysis on the optimization variables. Optimal power and time allocation problem is proven to be convex for a given transmission order. Based on the derived optimality conditions, we propose a fast polynomial-time complexity heuristic algorithm. We illustrate that the proposed algorithm performs very close-to-optimal while significantly outperforming an equal time allocation based scheduling scheme.