NOMA-Aided Joint Radar and Multicast-Unicast Communication Systems

Author:

Mu Xidong1ORCID,Liu Yuanwei2ORCID,Guo Li1ORCID,Lin Jiaru1ORCID,Hanzo Lajos3ORCID

Affiliation:

1. Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China

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

3. School of Electronics and Computer Science, University of Southampton, Southampton, U.K

Funder

Beijing Natural Science Foundation

National Key Research and Development Program of China

Key Project Plan of Blockchain in Ministry of Education of the People’s Republic of China

China Scholarship Council

Engineering and Physical Sciences Research Council

European Research Council’s Advanced Fellow Grant QuantCom

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

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1. Graph Neural Networks for Joint Communication and Sensing Optimization in Vehicular Networks;IEEE Journal on Selected Areas in Communications;2023-12

2. IRS and SWIPT-Assisted Full-Duplex NOMA for 6G umMTC;IEEE Transactions on Green Communications and Networking;2023-12

3. Sensing-Efficient NOMA-Aided Integrated Sensing and Communication: A Joint Sensing Scheduling and Beamforming Optimization;IEEE Transactions on Vehicular Technology;2023-10

4. Exploiting NOMA and RIS in Integrated Sensing and Communication;IEEE Transactions on Vehicular Technology;2023-10

5. Developing NOMA to Next-Generation Multiple Access;Fundamentals of 6G Communications and Networking;2023-07-10

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