Next-Generation URLLC With Massive Devices: A Unified Semi-Blind Detection Framework for Sourced and Unsourced Random Access-Reference-Cited by-同舟云学术

Next-Generation URLLC With Massive Devices: A Unified Semi-Blind Detection Framework for Sourced and Unsourced Random Access

Author:

Ke Malong¹^ORCID,Gao Zhen²^ORCID,Zhou Mingyu³^ORCID,Zheng Dezhi²,Ng Derrick Wing Kwan⁴^ORCID,Poor H. Vincent⁵^ORCID

Affiliation:

1. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

2. MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China

3. Baicells Technologies Company Ltd., Beijing, China

4. School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia

5. Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA

Funder

National Natural Science Foundation of China

Shandong Province Natural Science Foundation

Beijing Nova Program

National Science Foundation of U.S

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

Reference40 articles.

4. Maximum-likelihood from incomplete data via the EM algorithm;dempster;J Roy Stat Soc Ser B,1977

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