Efficient Combination Of Noma And Mimo System For Power Efficiency Enhancement

dc.contributor.guideSoma Sekhar B
dc.coverage.spatial
dc.creator.researcherRamesh Chandra Kothapalli
dc.date.accessioned2026-01-08T04:23:28Z
dc.date.available2026-01-08T04:23:28Z
dc.date.awarded
dc.date.completed2024
dc.date.registered
dc.description.abstractThe arrival of the 5G communication network system has helped in the prominence of newlineMIMO technology. In the rapidly evolving landscape of communication technology, the newlinefocus of the research community has shifted towards designing networks beyond the newlinecurrent standards, such as 5G and 6G, driven by the widespread adoption of 5G mobile newlinenetworks. The surge in network traffic accompanying this advancement presents newlinechallenges, including potential channel interference and noise generation. NOMA newlineemerges as a solution, facilitating streamlined communication and reducing interference newlinerisks. Employing SC and SIC systems ensures secure message transmission from newlinetransmitter to receiver. This thesis introduces a cooperative NOMA system based on newlineSimultaneous Wireless Information and Power Transfer (SWIPT), where nearby users act newlineas relays to aid distant users, augmented by an Improved Golden Search Optimization newline(IGSO) algorithm for optimal power allocation and splitting coefficients, thus minimizing newlineoutage probability. Terahertz (THz) band communication is explored to meet future newlinecapacity demands, with MIMO and NOMA techniques leveraging multi-antenna systems newlinefor enhanced data sharing and spectrum efficiency. Addressing limitations in power newlineefficiency, a THz-NOMA-MIMO system is proposed, featuring effective user clustering newlinevia EFCM, hybrid precoding with TOMP, and distributed power efficient algorithm newline(DPEA) for optimal power allocation. Additionally, a hybrid MMSE with ZF pre-coder is newlineintroduced for digital and analog beamforming to mitigate inter-cluster interference. newlineFurthermore, a novel three-layer user grouping strategy utilizing K-means and newlineagglomerative nesting algorithms enhances power efficiency in a Massive MIMONOMA system. Simulation results demonstrate the efficacy of the proposed newlinemethodologies in terms of energy efficiency, spectral efficiency, sum rate, and other newlineperformance metrics. newline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent257 Pgs
dc.identifier.researcherid
dc.identifier.urihttp://hdl.handle.net/10603/686674
dc.languageEnglish
dc.publisher.institutionDepartment of Electronics and Communication Engineering
dc.publisher.placeVishakhapatnam
dc.publisher.universityAndhra University
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.titleEfficient Combination Of Noma And Mimo System For Power Efficiency Enhancement
dc.title.alternative
dc.type.degreePh.D.

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