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Super Resolution-Based Beam Selection With Hierarchical Codebook in mmWave Communication
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Super Resolution-Based Beam Selection With Hierarchical Codebook in mmWave Communication

Sheng-Chun Fan, Hsin-Yuan Chang, Chih-Yu WangWei-Ho Chung
IEEE Wireless Communications Letters, 卷.11(5), 頁碼.967-971
05/2022

摘要

beamforming codebook deep learning mmWave super resolution Control and Systems Engineering Electrical and Electronic Engineering
Beamforming is regarded as a promising technique for future wireless communication systems. In this regard, codebook-based beamforming offers satisfactory performance with acceptable computational complexity; however, it requires a high power-consumed beam overhead. To achieve balance between the utilized beam overhead and the achieved spectral efficiency performance, we propose a super-resolution-based scheme using a hierarchical codebook. We consider beam sweeping as an inference problem, where low-resolution beam radiating responses are used as an input, and high-resolution beam sweeping responses are output. Simulation results confirm that the proposed scheme exhibits extraordinary performance-overhead tradeoffs as compared with state-of-the-art codebook-based beamforming designs.

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