University of Oulu

L. Marata, O. L. A. López, E. N. Tominaga and H. Alves, "Joint Channel Estimation and Device Activity Detection in Heterogeneous Networks," 2021 29th European Signal Processing Conference (EUSIPCO), Dublin, Ireland, 2021, pp. 836-840, doi: 10.23919/EUSIPCO54536.2021.9616003

Joint channel estimation and device activity detection in heterogeneous networks

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Author: Marata, Leatile1,2; Alcaraz López, Onel Luis1; Noboro Tominaga, Eduardo1;
Organizations: 16G Flagship, Centre for Wireless Communications (CWC), University of Oulu, Finland
2Botswana International University of Science and Technology (BIUST), Botswana
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.7 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2023-04-05


Internet of Things (IoT) has triggered a rapid increase in the number of connected devices and new use cases of wireless communications. To meet the new demands, the fifth generation (5G) of wireless communication systems features native machine type communication (MTC) services in addition to traditional human type communication (HTC) services. Some of the main challenges are the heterogeneous requirements and the sporadic traffic of massive MTC (mMTC), which makes the orthogonal allocation of resources infeasible. To overcome this problem, grant free non-orthogonal multiple access schemes have been proposed alongside with sparse signal recovery algorithms. While most of the related works have considered only homogeneous networks, we focus on a scenario where an enhanced mobile broadband (eMBB) device and multiple MTC devices share the same radio resources. We exploit the approximate message passing (AMP) algorithm for joint device activity detection and channel estimation of MTC devices in the presence of interference from eMBB, and evaluate the system performance in terms of receiver operating characteristics (ROC) and channel estimation errors. Moreover, we also propose two new pilot sequence generation strategies which improve the detection capabilities of the MTC receiver without affecting the eMBB service.

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Series: European Signal Processing Conference
ISSN: 2219-5491
ISSN-E: 2076-1465
ISSN-L: 2219-5491
ISBN: 978-9-0827-9706-0
ISBN Print: 978-1-6654-0900-1
Pages: 836 - 840
DOI: 10.23919/EUSIPCO54536.2021.9616003
Host publication: 2021 29th European Signal Processing Conference (EUSIPCO)
Conference: European Signal Processing Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This research has been financially supported by Academy of Finland, 6Genesis Flagship (Grant no 318927), EE-IoT (no 319008), and FIREMAN (no 326301) and BIUST.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
319008 (Academy of Finland Funding decision)
326301 (Academy of Finland Funding decision)
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