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Dynamic Clustering and Coordinated User Scheduling for Cooperative Interference Cancellation on Ultra-High Density
1Graduate School of Engineering, Chiba University, Chiba 263-8522, Japan.
This study introduces dynamic clustering and user scheduling to improve ultra-high density distributed antenna systems (UHD-DAS). These methods enhance spatial spectral efficiency by mitigating inter-cluster interference (ICLI) without needing extra frequency reuse.
Area of Science:
- Wireless communication networks
- Antenna systems engineering
- Signal processing for interference mitigation
Background:
- Ultra-high density distributed antenna systems (UHD-DAS) offer enhanced spatial spectral efficiency.
- Dense deployment of remote radio units (RUs) in UHD-DAS exacerbates inter-cell interference (ICI).
- Existing cell clustering mitigates ICI but inter-cluster interference (ICLI) remains a capacity limitation.
Purpose of the Study:
- To propose dynamic clustering and user scheduling for ICLI cancellation in UHD-DAS.
- To address the frequency reuse distance limitation of previous ICLI cancellation schemes.
- To enhance the performance of UHD-DAS by optimizing interference management.
Main Methods:
- Implementing dynamic clustering of remote radio units (RUs).
- Coordinating user scheduling to ensure effective reuse distance.
- Applying a previously conceived inter-cluster interference cancellation (ICLI) scheme.
- Jointly optimizing dynamic clustering and ICLI cancellation.
Main Results:
- The proposed dynamic clustering and user scheduling effectively mitigates ICLI.
- The system achieves performance close to ideal full cooperative spatial multiplexing.
- Interference cancellation is achieved without requiring additional frequency reuse.
- Enhanced spatial spectral efficiency is demonstrated.
Conclusions:
- Dynamic clustering and coordinated user scheduling are effective for ICLI cancellation in UHD-DAS.
- The proposed approach overcomes limitations of prior ICLI cancellation techniques.
- Near-ideal performance is achievable, improving overall system capacity and efficiency.
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