Modelling, Analysis and Optimization of Non-orthogonal Multiple Access in Next Generation Wireless Communication Systems
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2024
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Abstract
In this thesis, we present detailed performance analysis and optimization of non-orthogonal multiple access (NOMA) systems aided by massive multiple input multiple output (MIMO) and intelligent reflecting surface (IRS). To being with, we analyze the uplink of a massive MIMO-NOMA system and deduce new lower bounds on the achievable spectral efficiency (SE) based on zero-forcing (ZF) decoding at the base station (BS). User grouping and power allocation are employed to regulate the performance of users in a NOMA system. To cancel the inter-group interference, the ZF decoder is designed as a function of channel estimates acquired based on two low overhead channel estimation schemes, namely, Scheme-I and Scheme-S. Further, to ensure uniform quality-of-service to all users, we obtain the max-min power control coefficients which maximize the minimum achievable SE.
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Supervisors: Chouhan, Sonali and Kashyap, Salil