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Joint Interference Alignment and Power Allocation for K-User Multicell MIMO Channel through Staggered Antenna
Poongundran Selvaprabhu1, Sunil Chinnadurai2, Md Abdul Latif Sarker3
1Department of Electronics and Information Engineering, Chonbuk National University, Jeonju 561-756, Korea. poongundran@jbnu.ac.kr.
Sensors (Basel, Switzerland)
|February 1, 2018
Summary
This study introduces a novel interference alignment strategy for multicell MIMO systems. Cooperative cell-edge users with staggered antenna switching enhance system capacity and signal quality.
Area of Science:
- Wireless communication systems
- Signal processing
- Information theory
Background:
- Multicell multiple-input multiple-output (MIMO) Gaussian interference channels present significant challenges due to intercell interference.
- Existing interference alignment (IA) and power allocation strategies often require perfect channel state information, limiting practical application.
- Cell-edge (CE) mobile users (MUs) experience particularly poor performance in such environments.
Purpose of the Study:
- To characterize joint interference alignment (IA) and power allocation strategies for a K-user multicell MIMO Gaussian interference channel.
- To investigate blind-IA using staggered antenna switching at the receiver for cooperative CE MUs without prior channel state information.
- To analyze the capacity and performance gains of the proposed scheme compared to existing methods.
Main Methods:
- Developed a novel transmission strategy employing premeditated (randomly generated) and partial cooperative CE MUs.
- Utilized reconfigurable multimode antennas with staggered antenna switching patterns at the receiver.
- Characterized the capacity of the K-user multicell MIMO Gaussian interference channel and derived generalized IA and power allocation strategies.
Main Results:
- The proposed scheme effectively aligns desired and interference signals for common interference cancellation.
- Complete capacity characterization for the K-user multicell MIMO Gaussian interference channel with reconfigurable antennas was achieved.
- Numerical results show superior capacity and signal-to-interference plus noise ratio (SINR) compared to noncooperative and interference-free schemes.
Conclusions:
- The proposed interference alignment and power allocation strategy with partial cooperative CE MUs offers significant performance improvements in multicell MIMO systems.
- Blind-IA through staggered antenna switching is a viable approach for unknown channel conditions.
- The developed algorithms generalize existing IA and power allocation techniques for enhanced wireless communication.
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