University of Oulu

J. He, M. Leinonen, K. Nguyen, Y. Li, O. Silvén and M. Juntti, "Power Allocation for Distributed Compressive Sensing with 1-Bit Quantization over Noisy Channels," 2019 16th International Symposium on Wireless Communication Systems (ISWCS), Oulu, Finland, 2019, pp. 587-591. doi: 10.1109/ISWCS.2019.8877262

Power allocation for distributed compressive sensing with 1-bit quantization over noisy channels

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Author: He, Jiguang1; Leinonen, Markus1; Nguyen, Kien-Giang1;
Organizations: 1Centre for Wireless Communications, FI-90014, University of Oulu, Finland
2College of Computer Science, Chongqing University, Chongqing 400044, China
3Center for Machine Vision and Signal Analysis (CMVS), FI-90014, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.2 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2019-12-18


Cost-efficient implementation with a low-complexity analog-to-digital converter is necessary for the sensor nodes in the internet of things. In the paper, we study the distributed compressive sensing (DCS) under the constraint of 1-bit quantization at each node. The entire transmission chain, composed of compressive sensing, 1-bit quantization, and joint source-channel coding (JSCC), is taken into consideration with joint signal reconstruction at the fusion center. A lower bound on the end-to-end mean square error distortion, which is a function of the measurement rate, distortion of 1-bit quantization, and that of JSCC, is derived under the assumption of the oracle reconstruction. The time-varying channel conditions have a major impact on the distortion of JSCC. Therefore, a suboptimal yet efficient power allocation scheme based on the successive convex approximation method is proposed to minimize the lower bound on the end-to-end distortion. Moreover, a practical coding and joint signal reconstruction scheme is provided to show its consistence with the derived theoretical limits.

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Series: International Symposium on Wireless Communication Systems
ISSN: 2154-0217
ISSN-E: 2154-0225
ISSN-L: 2154-0217
ISBN: 978-1-7281-2527-5
ISBN Print: 978-1-7281-2528-2
Pages: 587 - 591
DOI: 10.1109/ISWCS.2019.8877262
Host publication: 2019 16th International Symposium on Wireless Communication Systems (ISWCS) 27-30 August 2019 Oulu, Finland
Conference: International Symposium on Wireless Communication Systems
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work has been performed in the framework of the IIoT Connectivity for Mechanical Systems (ICONICAL), funded by the Academy of Finland. This work is also partially supported by the Academy of Finland 6Genesis Flagship (grant 318927). The work of M. Leinonen has also been financially supported by Infotech Oulu, and the work of Y. Li is supported by China NSF under Grant No. 61771081.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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