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Modified joint channel-and-data estimation for one-bit massive MIMO

Bahari, M ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1109/ISCAS51556.2021.9401552
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2021
  4. Abstract:
  5. Centralized and cloud computing-based network architectures are the promising tracks of future communication systems where a large scale compute power can be virtualized for various algorithms. These architectures rely on high-performance communication links between the base stations and the central computing systems. On the other hand, massive Multiple-Input Multiple-Output (MIMO) technology is a promising solution for base stations toward higher spectral efficiency. To reduce system complexity and energy consumption, 1-bit analog-to-digital converters (ADCs) are leveraged with the cost of lowering the signal quality. To recover the lost information, more sophisticated algorithms, like Joint Channel-and-Data (JCD) estimation, are required whose computation demand is a barrier toward practical implementation. In this paper, we suggest modifications to the current state-of-the-art JCD estimation algorithm to enhance its performance and ease the implementation costs. The modified algorithm delivers up to 4 dB higher symbol error rate in high SNR cases. This improvement is based on a new initialization strategy and an efficient exit condition with lower computation time. We implemented the proposed algorithm on a GPU accelerated system with higher throughput compared to the vanilla BiG-AMP algorithm suitable for software-defined radio systems. To the best of our knowledge, it is the first practical implementation of 1-bit JCD estimation for massive MIMO systems. © 2021 IEEE
  6. Keywords:
  7. Analog to digital conversion ; Base stations ; Computer architecture ; Energy utilization ; MIMO systems ; Network architecture ; Signal to noise ratio ; Software radio ; Analog to digital converters ; Estimation algorithm ; High performance communication ; Implementation cost ; Multiple-input multiple-output technologies ; Software-defined radios ; Spectral efficiencies ; Symbol error rate (SER) ; Large scale systems
  8. Source: 53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021, 22 May 2021 through 28 May 2021 ; Volume 2021-May , 2021 ; 02714310 (ISSN); 9781728192017 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/9401552