Please use this identifier to cite or link to this item:
Title: Hybrid multi-user equalizer for massive MIMO millimeter-wave dynamic subconnected architecture
Author: Magueta, Roberto
Castanheira, Daniel
Silva, Adão
Dinis, Rui
Gameiro, Atílio
Keywords: Multi-user equalizer
Hybrid dynamic architecture
Massive multiple input/multiple output (MIMO)
Millimeter-wave communications
Issue Date: 6-Jun-2019
Publisher: IEEE
Abstract: This paper proposes a hybrid multi-user equalizer for the uplink of broadband millimeterwave massive multiple input/multiple output (MIMO) systems with dynamic subarray antennas. Hybrid subconnected architectures are more suitable for practical applications since the number of required phase shifters is lower than in fully connected architectures. We consider a set of only analog precoded users transmitting to a base station and sharing the same radio resources. At the receiver end, the hybrid multi-user equalizer is designed by minimizing the sum of the mean square error (MSE) of all subcarriers, considering a two-step approach. In the first step, the digital part is iteratively computed as a function of the analog part. It is considered that the digital equalizers are computed on a per subcarrier basis, while the analog equalizer is constant over the subcarriers and the digital iterations due to hardware constraints. In the second step, the analog equalizer with dynamic antenna mapping is derived to connect the best set of antennas to each radio frequency (RF) chain. For each subset of antennas, one antenna and a quantized phase shifter are selected at a time, taking into account all previously selected antennas. The results show that the proposed hybrid dynamic two-step equalizer achieves a performance close to the fully connected counterpart, although it is less complex in terms of hardware and signal processing requirements.
Peer review: yes
DOI: 10.1109/ACCESS.2019.2921530
ISSN: 2169-3536
Appears in Collections:DETI - Artigos
IT - Artigos

Files in This Item:
File Description SizeFormat 
08732323_roberto.pdf5.1 MBAdobe PDFView/Open

Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.