Joint Activity and Blind Information Detection for UAV-Assisted Massive IoT Access-Reference-Cited by-同舟云学术

Joint Activity and Blind Information Detection for UAV-Assisted Massive IoT Access

Published:2022-05 Issue:5 Volume:40 Page:1489-1508
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Qiao Li¹^ORCID,Zhang Jun¹^ORCID,Gao Zhen¹^ORCID,Zheng Dezhi¹^ORCID,Hossain Md. Jahangir²^ORCID,Gao Yue³^ORCID,Ng Derrick Wing Kwan⁴^ORCID,Di Renzo Marco⁵

Affiliation:

1. School of Information and Electronics and Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, China

2. School of Engineering, The University of British Columbia, Kelowna, Canada

3. School of Computer Science, Fudan University, Shanghai, China

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

5. Laboratoire des Signaux et Systèmes, French National Center for Scientific Research (CNRS), CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, France

Funder

Natural Science Foundation of China

UNSW Digital Grid Futures Institute, UNSW, Sydney, under a Cross-Disciplinary Fund Scheme

Australian Research Council’s Discovery Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/49/9758075/09726781.pdf?arnumber=9726781

Reference46 articles.

1. Advanced NOMA Receivers From a Unified Variational Inference Perspective