Electrical and Electronic Engineering - Theses
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ItemResource allocation in energy harvesting relay networks( 2019)As the demand for low power Internet-of-things (IoT) devices rises, connectivity becomes a major challenge. Cooperative communication with radio frequency energy harvesting can improve connectivity. Sensor nodes which do not have a direct link to a computation node may form a communication link through other nodes that act as relays. In an energy-scarce environment, low power devices tend to go into a sleep state whenever they do not generate information to transmit. This is counterproductive to cooperative communication which requires nodes to transmit information from other nodes. A promising alternative is to use radio frequency energy harvesting at the relay node. In this thesis we consider a three-node communication network in which a source node communicates with a destination node through a relay node. The direct link between source to destination does not exist, and the relay node relies on the energy harvested from the source transmitted information signal. Our goal is to determine the source transmit power, relay transmit power and relay energy harvesting parameters such that the performance of the system is optimized. Moreover, a long-term battery at the relay can reduce the randomness in relay transmit power. This can be exploited by an efficient resource allocation policy to improve the system performance. However, energy in the battery depends on the resource allocations decisions made earlier, which makes the analysis of the system more complicated than the situation where no long-term battery is available at the relay. We determine the optimal resource allocation for both situations, which can be used to compare the performance gain due to relay battery.