Full-duplex relay based energy harvesting wireless network

According to the recent Ericsson mobility report, 24.6 billion sensor nodes are expected to be installed by 2025. Increasing the lifetime of this massive battery-powered installation can only be achieved by using low-power transceivers with energy harvesting capability. For this purpose, we investigate the resource allocation in full-duplex (FD) relay-based wireless powered cooperative communication networks (WPCCN), and Simultaneous Wireless Information and Power Transfer (SWIPT) networks. In the SWIPT network, the nodes are being able to receive data and harvest energy to recharge their batteries simultaneously by using the same radio frequency (RF) signal from the hybrid access point (HAP). In WPCCN, energy is transferred in the downlink from the HAP to the nodes, and information is transmitted in the uplink from the nodes to the HAP. We consider novel optimization frameworks for the optimization of time allocation, scheduling, and relay selection. In the first part of the thesis, we work on FD-WPCCN. First, we study the transmission time minimization and throughput maximization optimization problems through relay selection. Then, we incorporate the on-off transmission scheme in FD-WPCCN and investigate the transmission time minimization and throughput maximization problems using scheduling and relay selection. In the second part of the thesis, we work on the FD-SWIPT network. First, we provide the outage analysis of an FD relay-based system and present the optimization problems for the outage throughput and energy efficiency maximization. Then, we extend the system model to a more practical multi-relay-user FD multiple-input-multiple-output (MIMO) system incorporating self-energy recycling. Self-energy recycling exploits the self-interference that arises due to the FD mode. We present the resource allocation and relay selection optimization framework with the objective of maximizing the sum throughput in a SWIPT FD MIMO system.