Joint Device Activity Detection and Channel Estimation for mMTC-Reference-Cited by-同舟云学术

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Joint Device Activity Detection and Channel Estimation for mMTC

Published:2024-08-15 Issue:16 Volume:11 Page:27232-27244
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Ji Chen¹^ORCID,Dai Jisheng¹^ORCID,Fu Haijun²^ORCID,Xu Weichao³^ORCID

Affiliation:

1. College of Information Science and Technology, Donghua University, Shanghai, China

2. Department of Electronic Engineering, Jiangsu University, Zhenjiang, China

3. Department of Automatic Control, Guangdong University of Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

Jiangsu Graduate Research and Practice Innovation Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10623554/10529106.pdf?arnumber=10529106

Reference48 articles.

1. Compressive Sensing-Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO

2. Massive Access for 5G and Beyond

3. An Energy-Efficient DL-Aided Massive Multiple Access Scheme for IoT Scenarios in Beyond 5G Networks

4. Towards Massive Connectivity Support for Scalable mMTC Communications in 5G Networks

5. Toward Massive Machine Type Cellular Communications

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