NOMA-MIMO in 5G network: a detailed survey on enhancing data rate

Area of Science:

• Wireless Communications
• Signal Processing
• Telecommunications Engineering

Background:

• Non-orthogonal Multiple Access (NOMA) is a key technology for next-generation cellular networks, offering improved spectral efficiency, user fairness, and reliability.
• The integration of NOMA in the power domain (NOMA-PD) with Multiple-Input Multiple-Output (MIMO) systems is crucial for meeting escalating data rate demands.

Purpose of the Study:

• To systematically review and categorize resource allocation challenges and optimization problems in NOMA-MIMO systems.
• To identify and analyze current clustering, power allocation, and joint allocation schemes within NOMA-MIMO literature.
• To pinpoint a significant research gap concerning signal-to-interference-plus-noise ratio (SINR) optimization in NOMA-PD with MIMO configurations.

Main Methods:

• Comprehensive literature survey of NOMA-MIMO resource allocation schemes.
• Analysis of various optimization parameters employed in existing 5G system designs.
• Categorization of NOMA-MIMO techniques including clustering, power allocation, and joint allocation strategies.

Main Results:

• Identification of diverse resource allocation strategies and their associated optimization objectives in NOMA-MIMO systems.
• Evaluation of the effectiveness of different schemes in enhancing data rates for 5G networks.
• Detailed examination of parameters influencing performance, such as spectral efficiency, user fairness, and cell-edge throughput.

Conclusions:

• NOMA-PD combined with MIMO presents a promising avenue for achieving high data rates in future wireless networks.
• Further research is needed to optimize resource allocation, particularly focusing on SINR in NOMA-PD MIMO systems.
• The survey provides a foundation for future research by highlighting key challenges and potential solutions in NOMA-MIMO technology.