Novel NOMA MIMO designs for 5G and beyond

The evolution of future generations of mobile wireless communication
systems has intensified the demand for higher data rates, reduced latency,
and improved spectral efficiency. Non-orthogonal multiple access (NOMA)
has emerged as a groundbreaking solution to meet these demands. Which
enables the sharing of time-frequency resources and utilizes successive interference
cancellation (SIC) to mitigate interference among multiple users. As
well, cooperative communications based on relays offer dependable connectivity
and extend system coverage. While multiple inputs multiple outputs
(MIMO) technology significantly contributes to the evolution of NOMA systems.
The integration of MIMO using antenna selection (AS) schemes in
NOMA enhances overall performance, decreases complexity and power consumption,
which is a novel and appealing approach in this context. Within
this thesis, we evaluate the effectiveness of implementing multi-antenna techniques
within NOMA networks under realistic conditions, considering practical
challenges such as SIC error, channel estimation error (CEE), and
feedback delay error. The analysis begins with an examination of the singleinput
single-output (SISO) system in Downlink and Uplink NOMA networks,
deriving mathematical expressions for ergodic capacity (EC), outage
probability (OP), and bit error rate (BER). Subsequently, we investigate
the MIMO-NOMA network, utilizing the joint transmit and receive antenna
selection (JTRAS) protocol, and derive the expression for EC under realistic
conditions. Later, we assess the performance of the Downlink cooperative
NOMA network employing a relay selection strategy, incorporating both
best relay selection (BRS) and partial relay selection (PRS) through the implementation
of a transmit antenna selection (TAS) protocol. Finally, the
thesis concludes with a comprehensive analysis of the results, highlighting
challenges while offering valuable insights that can significantly influence
future research in the field.