Abstract:
The exponential growth of machine-type devices demands the need for spectrally efficient
communication solutions for 6G and beyond. This thesis explores the design and
development of a hybrid non-orthogonal multiple access (NOMA) uplink communication
system which combines power domain NOMA (PD-NOMA) and multicarrier compressed
sensing multiuser detection (CSMUD) based NOMA to take full advantage of
both. The proposed system aims to improve the spectral efficiency and system capacity
for ultra-massive machine-type communication (UmMTC), supporting the increasing
demand for large-scale connectivity between devices for various IoT applications. The
algorithm employs compressed sensing (CS) and successive interference cancellation
(SIC) techniques to enable efficient multiuser detection and decoding of information.
Simulation results indicate the efficacy of the proposed system, showing considerable
improvements in spectral efficiency and capacity. This research contributes to the development
of future wireless communication systems by enabling massive connectivity
and efficient spectrum utilization, facilitating further advancements in this domain.
