University of Oulu

K. Nguyen, Q. Vu, L. Tran and M. Juntti, "Energy-Efficient Bit Allocation for Resolution-Adaptive ADC in Multiuser Large-Scale MIMO Systems: Global Optimality," ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 5130-5134, doi: 10.1109/ICASSP40776.2020.9052945

Energy-efficient bit allocation for resolution-adaptive ADC in multiuser large-scale MIMO systems : global optimality

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Author: Nguyen, Kien-Giang1; Vu, Quang-Doanh1; Tran, Le-Nam2;
Organizations: 1Centre for Wireless Communications, University of Oulu, P.O.Box 4500, FI-90014, Finland
2School of Electrical and Electronic Engineering, University College Dublin, Ireland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-09-02


We consider uplink multiuser wireless communications systems, where the base station (BS) receiver is equipped with a large-scale antenna array and resolution adaptive analog-to-digital converters (ADCs). The aim is to maximize the energy efficiency (EE) at the BS subject to constraints on the users’ quality-of-service. The approach is to jointly optimize both the number of quantization bits at the ADCs and the on/off modes of the radio frequency (RF) processing chains. The considered problem is a discrete nonlinear program, the optimal solution of which is difficult to find. We develop an efficient algorithm based on the discrete branch-reduce-and-bound (DBRnB) framework. It finds the globally optimal solutions to the problem. In particular, we make some modifications, which significantly improve the convergence performance. The numerical results demonstrate that optimizing jointly the number of quantization bits and on/off mode can achieve remarkable EE gains compared to only optimizing the number of quantization bits.

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Series: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
ISSN: 1520-6149
ISSN-E: 2379-190X
ISSN-L: 1520-6149
ISBN: 978-1-5090-6631-5
ISBN Print: 978-1-5090-6632-2
Pages: 5130 - 5134
DOI: 10.1109/ICASSP40776.2020.9052945
Host publication: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Conference: IEEE International Conference on Acoustics, Speech and Signal Processing
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported in part by the projects “Wireless Connectivity for Internet of Everything-Energy Efficient Transceiver and System Design (WiConIE)” funded by Academy of Finland under Grant 297803, and “Flexible Uplink-Downlink Resource Management for Energy and Spectral Efficiency Enhancing in Future Wireless Networks (FURMESFuN)” funded by Academy of Finland under Grant 31089.
Academy of Finland Grant Number: 297803
Detailed Information: 297803 (Academy of Finland Funding decision)
31089 (Academy of Finland Funding decision)
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