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Area of Science:

  • Wireless communication systems
  • Signal processing
  • Telecommunications engineering

Background:

  • The proliferation of Internet of Things (IoT) devices necessitates advanced wireless communication solutions.
  • Non-orthogonal multiple access (NOMA) and massive multiple-input-multiple-outputs (mMIMOs) are key technologies for enhancing spectral efficiency and multiplexing gains.
  • Cell edge users in 5G systems face challenges with poor signal quality and high battery consumption.

Purpose of the Study:

  • To propose a downlink mMIMO NOMA cooperative system utilizing a double-mode relay model.
  • To improve energy efficiency and sum rate for cell edge users.
  • To develop an efficient user cluster formation method for cooperative NOMA systems.

Main Methods:

  • Implementation of a cooperative relay system within a mMIMO NOMA framework.
  • Definition and application of a double-mode operation for the relay based on its battery level.
  • Development of a novel algorithm for efficient user cluster formation.

Main Results:

  • The proposed mMIMO NOMA double-mode model significantly improves average sum rate compared to conventional systems.
  • Enhanced average energy efficiency is demonstrated for cell edge users.
  • The novel cluster formation method contributes to efficient simultaneous transmission.

Conclusions:

  • The mMIMO NOMA double-mode cooperative system effectively addresses the challenges of cell edge users in 5G networks.
  • The proposed system offers substantial improvements in both sum rate and energy efficiency.
  • Efficient user clustering is crucial for optimizing cooperative NOMA performance.