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Published on: June 25, 2021
Channel Estimation for Intelligent Reflecting Surface Empowered Coal Mine Wireless Communication Systems
Yang Liu1, Kaikai Guo1, Xiaoyue Li1
1School of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
This study introduces a new algorithm, modified Bilinear Generalized Approximate Message Passing (mBiGAMP) with intelligent reflecting surface (IRS) technology, to significantly improve wireless channel estimation accuracy in challenging coal mine environments. The enhanced algorithm offers better performance and requires fewer pilots for reliable communication.
Area of Science:
- Electrical Engineering
- Wireless Communication Systems
- Signal Processing
Background:
- Coal mines present severe signal attenuation and interruption due to confined spaces, rough surfaces, and equipment.
- Conventional channel estimation algorithms struggle with accuracy in these dynamic environments.
Purpose of the Study:
- To enhance channel estimation accuracy in coal mine wireless communication systems.
- To address signal degradation caused by unique environmental factors like moving conveyors.
Main Methods:
- Proposed a modified Bilinear Generalized Approximate Message Passing (mBiGAMP) algorithm integrated with intelligent reflecting surface (IRS) technology.
- Developed a hybrid channel model incorporating fast-varying and quasi-static components to represent the coal mine environment.
- Introduced augmented factor graphs with additional nodes to derive the mBiGAMP algorithm.
Main Results:
- The mBiGAMP algorithm demonstrated superior channel estimation accuracy compared to DS-OMP, PARAFAC, and LS algorithms.
- Achieved significant improvements in signal-to-noise ratio (SNR), with gains of 5 dB, 6 dB, and 14 dB respectively at a Normalized Mean Square Error (NMSE) of 10-3.
- The algorithm showed robust convergence and required fewer pilots for accurate channel state information recovery.
Conclusions:
- The proposed mBiGAMP algorithm effectively improves channel estimation in dynamic coal mine environments.
- IRS technology and the hybrid channel model are crucial for enhancing wireless communication performance in mines.
- The algorithm offers a more efficient and accurate solution for channel estimation in complex underground settings.
