Please use this identifier to cite or link to this item: http://hdl.handle.net/11144/3650
Title: Iterative Multiuser Equalization for Subconnected Hybrid mmWave Massive MIMO Architecture
Authors: Dinis, Rui
Magueta, R. L.
Mendes, V.
Castanheira, D.
Silva, A.
Gameiro, A.
Keywords: MIMO
5G
Hybrid
Issue Date: 2017
Publisher: Hindawi
Abstract: Millimeter waves and massive MIMO are a promising combination to achieve the multi-Gb/s required by future 5G wireless systems. However, fully digital architectures are not feasible due to hardware limitations, which means that there is a need to design signal processing techniques for hybrid analog-digital architectures. In this manuscript, we propose a hybrid iterative block multiuser equalizer for subconnected millimeter wave massive MIMO systems. The low complexity user-terminals employ pure-analog random precoders, each with a single RF chain. For the base station, a subconnected hybrid analog-digital equalizer is designed to remove multiuser interference. The hybrid equalizer is optimized using the average bit-error-rate as a metric. Due to the coupling between the RF chains in the optimization problem, the computation of the optimal solutions is too complex. To address this problem, we compute the analog part of the equalizer sequentially over the RF chains using a dictionary built from the array response vectors. The proposed subconnected hybrid iterative multiuser equalizer is compared with a recently proposed fully connected approach. The results show that the performance of the proposed scheme is close to the fully connected hybrid approach counterpart after just a few iterations.
Peer reviewed: yes
URI: http://hdl.handle.net/11144/3650
metadata.dc.identifier.doi: 10.1155/2017/9171068
ISSN: 1530-8669
Publisher version: https://www.it.pt/Publications/PaperJournal/26608
Appears in Collections:DCT - Artigos/Papers

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