Rate maximization for partially connected hybrid beamforming in single-user MIMO systems
Majidzadeh, Mohammad; Kaleva, Jarkko; Tervo, Nuutti; Pennanen, Harri; Tölli, Antti; Latva-aho, Matti (2018-08-27)
M. Majidzadeh, J. Kaleva, N. Tervo, H. Pennanen, A. Tölli and M. Latva-Aho, "Rate Maximization for Partially Connected Hybrid Beamforming in Single-User MIMO Systems," 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Kalamata, 2018, pp. 1-5. doi: 10.1109/SPAWC.2018.8445883
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https://urn.fi/URN:NBN:fi-fe202001131830
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Abstract
Partially 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.
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