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Spectral Efficiency Optimization of Uplink Millimeter Wave MIMO-NOMA Systems
Yinhao Zhang1, Honggui Deng1, Jun He1
1School of Physics and Electronics, Central South University, Changsha 410083, China.
Sensors (Basel, Switzerland)
|September 9, 2022
Summary
This study enhances spectral efficiency in millimeter wave (mmWave) MIMO-NOMA systems using adaptive cluster heads and channel-aligned beamforming. The proposed methods significantly outperform existing techniques for uplink communication.
Area of Science:
- Wireless Communication
- Signal Processing
- Telecommunications Engineering
Background:
- Millimeter wave (mmWave) communication offers high bandwidth but faces challenges in spectral efficiency (SE) for Multiple-Input Multiple-Output Non-Orthogonal Multiple Access (MIMO-NOMA) systems.
- Improving SE is crucial for meeting the increasing data demands in modern wireless networks.
Purpose of the Study:
- To enhance spectral efficiency (SE) in uplink millimeter wave (mmWave) MIMO-NOMA systems.
- To develop novel algorithms for adaptive cluster head selection, channel-aligned analog beamforming, and user grouping.
- To optimize power allocation and digital beamforming for improved system performance.
Main Methods:
- Proposed an adaptive cluster head selection algorithm.
- Designed a channel-aligned analog beamforming scheme based on selected cluster heads.
- Developed a user grouping algorithm utilizing user-equivalent channel correlation.
- Transformed the non-convex power allocation problem into a convex one using quadratic transformation (QT).
- Achieved optimal user power allocation and digital beamforming through iterative optimization.
Main Results:
- The proposed adaptive cluster head selection and channel-aligned analog beamforming effectively improved system performance.
- User grouping based on channel correlation optimized resource utilization.
- The QT method successfully converted the complex power allocation problem into a tractable convex form.
- Iterative optimization yielded optimal power allocation and digital beamforming solutions.
Conclusions:
- The integrated approach of adaptive cluster head selection, channel-aligned analog beamforming, and optimized power allocation significantly boosts SE in mmWave MIMO-NOMA systems.
- The proposed scheme demonstrates superior performance compared to existing methods in uplink communication scenarios.
- This research provides a viable framework for enhancing the efficiency of next-generation wireless communication systems.
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