Journal
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume 17, Issue 6, Pages 3600-3614Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2018.2808523
Keywords
Massive MIMO; FDD; training overhead; hybrid beamforming; virtual sectorization
Funding
- Intel
- National Science Foundation
- National High Technology Research and Development Program of China [2014AA01A705]
- Direct For Computer & Info Scie & Enginr
- Division of Computing and Communication Foundations [1618078] Funding Source: National Science Foundation
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Considering the design of two-stage beamformers for the downlink of multi-user massive multiple-input multiple-output systems in frequency division duplexing mode, this paper investigates the case where both the link ends are equipped with hybrid digital/analog beamforming structures. A virtual sectorization is realized by channel-statistics-based user grouping and analog beamforming, where the user equipment only needs to feedback its intra-group effective channel, and the overall cost of channel state information (CSI) acquisition is significantly reduced. Under the Kronecker channel model assumption, we first show that the strongest eigenbeams of the receive correlation matrix form the optimal analog combiner to maximize the intra-group signal to inter-group interference plus noise ratio. Then, with the partial knowledge of instantaneous CSI, we jointly optimize the digital precoder and combiner by maximizing a lower bound of the conditional average net sum rate. Simulations over the propagation channels obtained from geometric-based stochastic models, ray tracing results, and measured outdoor channels, demonstrate that our proposed beamforming strategy outperforms the state-of-the-art methods.
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