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Get Free AccessPartially connected hybrid beamforming (HBF) is a promising approach to alleviate the implementation of large scale millimeter-wave multiple-input multiple-output (MIMO) systems. In this paper, we develop rate maximizing algorithms for the full array-and subarray-based processing strategies of partially connected HBF. We formulate the rate maximization problem as a weighted mean square error minimization problem and use alternating optimization to tackle it. Numerical results show that partially connected HBF provides a good balance between hardware complexity and performance in comparison to optimal fully digital and analog beamforming. Moreover, the simpler subarray-based HBF algorithm achieves comparable performance to that of the full array-based approach in medium and high SNRs. The rate maximizing results serve as upper bounds for lower complexity heuristic methods.
Mohammad Majidzadeh, Jarkko Kaleva, Nuutti Tervo, Harri Pennanen, Antti Tölli, Matti Latva-aho (2018). Rate Maximization for Partially Connected Hybrid Beamforming in Single-User MIMO Systems. , 13, pp. 1-5, DOI: 10.1109/spawc.2018.8445883.
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Type
Article
Year
2018
Authors
6
Datasets
0
Total Files
0
Language
English
DOI
10.1109/spawc.2018.8445883
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