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Task-Based Quantization for Massive MIMO Channel Estimation

Shlezinger, N; Eldar, YC; Rodrigues, MRD; (2019) Task-Based Quantization for Massive MIMO Channel Estimation. In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). (pp. pp. 4489-4493). IEEE: Brighton, UK. Green open access

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Abstract

Massive multiple-input multiple-output (MIMO) systems are the focus of increasing research attention. In such setups, there is an urgent need to utilize simple low-resolution quantizers, due to power and memory constraints. In this work we study massive MIMO channel estimation with quantized measurements, when the quantization system is designed to minimize the channel estimation error, as opposed to the quantization distortion. We first consider vector quantization, and characterize the minimal error achievable. Next, we focus on practical systems utilizing scalar uniform quantizers, and design the analog and digital processing as well as the quantization dynamic range to optimize the channel estimation accuracy. Our results demonstrate that the resulting massive MIMO system which utilizes low-resolution scalar quantizers can approach the minimal estimation error dictated by ratedistortion theory, achievable using vector quantizers.

Type: Proceedings paper
Title: Task-Based Quantization for Massive MIMO Channel Estimation
Event: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Location: Brighton, ENGLAND
Dates: 12 May 2019 - 17 May 2019
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ICASSP.2019.8682735
Publisher version: https://doi.org/10.1109/ICASSP.2019.8682735
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Massive MIMO, quantization.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10085351
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