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Resource allocation in wireless systems with conventional and energy harvesting nodes

University of British Columbia

High data rate, reliable communication, and low power consumption are the foremost demands for next generation of wireless communication systems. The key challenge to the design of communication systems is to combat the detrimental effects of channel fading, noise, and high power consumption. Wireless systems are often impaired by non-Gaussian noise, and the performance of systems designed for Gaussian noise can degrade if non-Gaussian noises are present but are not taken into account. Thus, it is imperative to analyze systems that are impaired by non-Gaussian noise and to manage their resources better to improve overall performance. Furthermore, there is significant interest in using renewable energy for wireless systems. However, energy harvesting (EH) is a random process and the harvested energy should be expended judiciously to maximize aggregate system throughput. In this thesis, we consider wireless systems that are impaired by Gaussian and non-Gaussian noise and powered by conventional energy sources and energy harvesters and propose appropriate resource allocation schemes for these systems. First, we propose optimal and fair power allocation schemes for a cooperative relay network with amplify-and-forward relays that employs best and partial relay selections and is impaired by Gaussian and non-Gaussian noise. We derive closed-form expressions of asymptotic bit error rate and use this expression to allocate transmit powers for different nodes with necessary energy consumption constraints. Second, we consider a network comprising a source, a relay, and a destination, where the source and the relay are EH nodes. We consider conventional and buffer-aided link adaptive relaying protocols, and propose offline and online resource allocation schemes that maximize the system throughput. Thirdly, we consider a multi-relay network with EH nodes and propose offline and online joint relay selection and power allocation schemes that maximize the system throughput. Fourth, we consider a single source-destination link, where the source has a hybrid energy supply comprised of constant energy source and energy harvester. We propose offline and online power allocation schemes that minimize the energy consumption from the constant energy source and thereby utilize the harvested energy effectively.

Text

2014-10-23

Attribution-NonCommercial-NoDerivs 2.5 Canada

http://hdl.handle.net/2429/50857

Electrical and Computer Engineering

University of British Columbia

UBCV

http://creativecommons.org/licenses/by-nc-nd/2.5/ca/