Random Beam-Based Non-Orthogonal Multiple Access for Low Latency K-User MISO Broadcast Channels

Area of Science:

• Wireless Communication Systems
• Signal Processing
• Information Theory

Background:

• Low latency is crucial for modern wireless networks.
• Traditional beamforming methods face challenges in reducing feedback overhead and supporting multiple users efficiently.
• Non-orthogonal Multiple Access (NOMA) offers potential for enhanced spectral efficiency.

Purpose of the Study:

• To propose a novel random beam-based NOMA scheme for low-latency MISO broadcast channels.
• To reduce feedback overhead and computational complexity in wireless systems.
• To improve user capacity per beam compared to conventional random beamforming.

Main Methods:

• Developed a system model with a multi-antenna transmitter and single-antenna users.
• Utilized random beams to reduce channel acquisition feedback.
• Implemented NOMA to support multiple users per beam.
• Optimized user grouping and power allocation for the proposed scheme.

Main Results:

• The proposed random beam-based NOMA scheme supports more users per beam than conventional random beamforming.
• Reduced feedback overhead due to the use of random beams.
• Lower computational complexity achieved through independent user selection per beam.

Conclusions:

• Random beam-based NOMA is an effective strategy for achieving low latency and high user capacity in MISO broadcast channels.
• The proposed scheme offers a significant performance improvement over traditional random beamforming.
• Further research can explore advanced power allocation and user grouping strategies.