Optimal Algorithmic Resource Allocation in Energy Harvesting Full-Duplex Gaussian Relay Channel with Wireless Power Transfer Capability

Energy harvesting (EH) (or scavenging) is introduced recently as a prominent technology for alleviating energy or power delimitations of next generation wireless networks, such as industrial systems based on the internet of things (IoT), and also as a bases for the green communication networks, to reduce energy consumption in man-made activities. In this paper, cooperative transmission is considered in full-duplex Gaussian relay channel with energy harvesting source (S) and relay (R) nodes. This paper aims at maximizing total number of transmitted bits from S to destination (D) in a determined time through optimal rate and power allocation to the EH nodes. Also, based on the nodes’ capabilities to transfer some part of their energy (power) to each other, two cases are considered: one-way power transfer (PT) from S to R, and two-way PT between S and R. Optimal resource allocation is investigated to find algorithmic solution. For this purpose, conditions on nodes’ EH profile are considered, where optimal algorithmic solution is obtained in one-way PT case. In the case of two-way PT, optimal solution in general form is presented. Finally, the performance of the proposed algorithms is analyzed numerically and compared with numerical convex optimization tools.