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Performance optimization of nonlinear EH technology in green cognitive WPCN.
Huajun Chen1,2, Lina Yuan3, Linjie Wang1
1School of Data Science, Tongren University, Tongren, China.
Scientific Reports
|July 2, 2025
Summary
This study introduces a cluster collaboration scheme for green cognitive Wireless Powered Communication Networks (WPCNs). The approach enhances data transmission fairness and spectral efficiency using nonlinear energy harvesting and beamforming, even under strict interference constraints.
Area of Science:
- Wireless Communication Networks
- Green Computing
- Energy Harvesting
Background:
- Cognitive Wireless Powered Communication Networks (WPCNs) face user unfairness issues.
- Hybrid Access Points (HAPs) supply power and collect data from Wireless Devices (WDs).
- Nonlinear energy harvesting and beamforming are key technologies in modern WPCNs.
Purpose of the Study:
- To address user unfairness in green cognitive WPCNs.
- To enhance data transmission fairness and spectral efficiency.
- To optimize primary system performance under Interference Temperature Constraints (ITC).
Main Methods:
- Proposed a cluster collaboration scheme with a designated Cluster Head (CH).
- Implemented nonlinear energy harvesting and energy beamforming technologies.
- Optimized primary system data transmission efficiency considering interference.
Main Results:
- The proposed scheme significantly improves fairness in data transmission rates.
- Spectral efficiency of cognitive WPCNs is markedly enhanced.
- System performance is maintained under strict Interference Temperature Constraints (ITC).
Conclusions:
- The cluster collaboration scheme effectively resolves user unfairness in cognitive WPCNs.
- The integration of nonlinear energy harvesting and beamforming boosts system efficiency.
- The approach ensures robust primary system performance alongside enhanced WPCN fairness.
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