Distributed Unsupervised Learning for Interference Management in Integrated Sensing and Communication Systems-Reference-Cited by-同舟云学术

Distributed Unsupervised Learning for Interference Management in Integrated Sensing and Communication Systems

Published:2023-12 Issue:12 Volume:22 Page:9301-9312
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Liu Xiangnan¹^ORCID,Zhang Haijun¹^ORCID,Long Keping¹^ORCID,Nallanathan Arumugam²^ORCID,Leung Victor C. M.³^ORCID

Affiliation:

1. Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services, University of Science and Technology Beijing, Beijing, China

2. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K

3. Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, Canada

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

China University Industry-University- Research Collaborative Innovation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/10354275/10113889.pdf?arnumber=10113889

Reference34 articles.

1. Integrating Sensing and Communications for Ubiquitous IoT: Applications, Trends, and Challenges

2. Perceptive Mobile Networks: Cellular Networks With Radio Vision via Joint Communication and Radar Sensing

3. Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond

4. Optimal transmit beamforming for integrated sensing and communication;Hua;arXiv:2104.11871,2021

5. An Iteratively Weighted MMSE Approach to Distributed Sum-Utility Maximization for a MIMO Interfering Broadcast Channel

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