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Resource Allocation for SWIPT in Multi-Service Wireless Networks

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Document pages: 146 pages

Abstract: The novel resource allocation for simultaneous wireless information and powertransfer (SWIPT) is presented as a means of not only helping to communicate andaccess information with increasing efficiency in the next generation of mobiledata networks but also contributing to minimizing a network s overall powerconsumption by providing a green energy source. First, a unique architecture isproposed that harvests energy from an access point (AP) without the receiverneeding a splitter. In the proposed system model, a portion of the spectrum isused for information decoding (ID) while the remaining portion is exploited forenergy harvesting (EH) in an orthogonal frequency division multiple access(OFDMA) network. To investigate the performance gain, an optimization problemis formulated that maximizes the harvested energy of a multi-user single-cellOFDMA downlink (DL) network with SWIPT and also satisfies a minimum data-raterequirement for all users. A locally optimal solution for the underlyingproblem, which is essentially non-convex due to the coupling of the integervariable, is obtained by using optimization tools. Second, the proposed systemmodel is improved in order to investigate the resource allocation problem ofneeding to maximize throughput based on the separated receiver architecture inan OFDMA multi-user multi-cell system that uses SWIPT. The resulting problem,which jointly optimizes the subcarrier assignment and power allocation, is amixed-integer non-linear problem (MINLP) that is difficult to solve. Third, astate-of-the-art harvesting technique at the receiver that is based on receiverantenna selection with a co-located architecture is explored to optimize theenergy efficiency (EE) of a SWIPT-enabled multi-cell multi-user OFDMA network.This is referred to as a Generalized Antenna-Switching Technique.

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