Iterative Multiuser Equalization for Subconnected Hybrid mmWave Massive MIMO Architecture

R. Magueta, V. Mendes, D. Castanheira, A. Silva, R. Dinis, A. Gameiro

Research output: Contribution to journalArticle

4 Citations (Scopus)

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.

Original languageEnglish
Article number9171068
JournalWireless Communications and Mobile Computing
Volume2017
DOIs
Publication statusPublished - 2017

Fingerprint

Equalizers
MIMO systems
Millimeter waves
Radio interference
Glossaries
Base stations
Bit error rate
Signal processing
Hardware

Keywords

  • SINGLE CARRIER MODULATION
  • SYSTEMS
  • 5G
  • NETWORKS
  • TECHNOLOGIES
  • CHALLENGES
  • BENEFITS
  • Time duration constraints

Cite this

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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.",
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Iterative Multiuser Equalization for Subconnected Hybrid mmWave Massive MIMO Architecture. / Magueta, R.; Mendes, V.; Castanheira, D.; Silva, A.; Dinis, R.; Gameiro, A.

In: Wireless Communications and Mobile Computing, Vol. 2017, 9171068, 2017.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Iterative Multiuser Equalization for Subconnected Hybrid mmWave Massive MIMO Architecture

AU - Magueta, R.

AU - Mendes, V.

AU - Castanheira, D.

AU - Silva, A.

AU - Dinis, R.

AU - Gameiro, A.

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