الفهرس 
Chapter 1 IntroductionOnly 14 pages are availabe for public view
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Abstract
”Energy depletion is one of today’s most pressing issues. Energy harvesting models and efficient energy management techniques are being developed in response to the high demand for energy. In IoT applications, a large number of devices are connected resulting in more energy consumption. Each device is powered by an energy-limited battery that cannot be replaced easily. There comes the need for energy harvesting capabilities that can recharge batteries and prolong the network lifetime. This work investigates a two-way relaying (TWR) device-to-device (D2D) network with radio frequency (RF) and renewable energy (RE) harvesting capabilities. All network devices can harvest RE from the surrounding environment such as wind, solar, hydroelectric, geothermal. Furthermore, relays can also harvest RF energy by utilizing part of the received signals via the power splitting (PS) factor. The RF harvested energy is modeled using a non-linear EH model to match the behavior of the practical energy harvester. An algorithm for resource and power allocation as well as relay selection is proposed to maximize the sum rate of D2D links. Resource allocation strategy aims to reduce the interference caused by cellular users (CUs) and D2D links sharing the same resources. Particle swarm optimization technique is adopted to allocate the optimal transmission power to each device as well as the (PS) factor. Finally, the best relay is selected using a one-to-one stable matching technique.