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Massive MIMO NOMA: Double-Mode Model towards Green 5G Networks.
Preksha Jain1, Akhil Gupta1, Sudeep Tanwar2
1School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara 144411, India.
Sensors (Basel, Switzerland)
|July 29, 2023
Summary
This study introduces a novel mMIMO NOMA double-mode model for 5G systems. It enhances cell edge user energy efficiency and sum rate by optimizing relay operation and cluster formation.
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.
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