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Title Capacity optimization in smart grid communication network using Non orthogonal multiple access

Author(s) Amir Ejaz

Abstract In contrast to the conventional electric grid, a smart grid (SG) is an innovative and modernized electric grid system. Specifically, the electric grid is upgraded by advances in information and communication technologies, where terabytes of data are generated at SG devices that must be transmitted. The anticipated size of data originates from various applications such as metering, automation, monitoring, and firmware updates. Therefore, the smart grid communication network (SGCN) requires a communication system that is spectrum efficient and does not overburden already scarce channel resources. Meanwhile, non-orthogonal multiple access (NOMA) has been envisioned to support the demands of latency, throughput, and fairness of future wireless networks. Mainly, NOMA has been studied for the objectives of capacity optimization, fairness, and energy efficiency for various communication situations. The investigation for NOMA for domains of cellular communication underwater as well as unmanned aerial vehicle (UAV) communication has demonstrated, that it has a clear advantage over conventional Orthogonal Multiple Access systems. Though, NOMA's applicability to SGCN has not undergone examination yet, and further investigation is needed. This thesis will deal with the design issues related to user pairing and power allocation for effective implementation of NOMA in the context of SGCN.

Type Thesis/Dissertation MS

Faculty Engineering and Computer Science

Department Engineering

Language English

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Subject Electrical Engineering

Publisher National University of Modern Languages

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