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

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  • 1Department of Electronics Engineering and Applied Communications Research Center, Hankuk University of Foreign Studies, Yongin 17035, Korea.

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Summary
This summary is machine-generated.

This study introduces random beamforming with non-orthogonal multiple access (NOMA) for faster, low-latency wireless communication. The new method efficiently supports more users per beam compared to traditional approaches.

Keywords:
broadcast channels (BC)multiple-input single-output (MISO)non-orthogonal multiple access (NOMA)random beamforming

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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.