Sensing Integrated DFT-Spread OFDM Waveform and Deep Learning-Powered Receiver Design for Terahertz Integrated Sensing and Communication Systems

Author:

Wu Yongzhi1ORCID,Lemic Filip2ORCID,Han Chong1ORCID,Chen Zhi3ORCID

Affiliation:

1. Terahertz Wireless Communications (TWC) Laboratory, Shanghai Jiao Tong University, Shanghai, China

2. I2Cat Foundation, Barcelona, Spain

3. National Key Laboratory of Science and Technology Communications, University of Electronic Science and Technology of China, Chengdu, China

Funder

National Key Research and Development Program of China

Spanish Ministry of Economic Affairs and Digital Transformation and the European Union – NextGeneration EU, in the framework of the Recovery Plan, Transformation and Resilience

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DFT-spread OTFS-NOMA for downlink integrated positioning and communication;Physical Communication;2024-10

2. Dual-chirp-based photonic THz-ISAC system with adaptive frequency synchronization;Optics Letters;2024-08-02

3. Deep learning-based receiver design for generalized frequency division multiplexing (GFDM);Physical Communication;2024-08

4. Feasibility of DFT-s-OFDM in 6G Downlink: Coverage and Energy-Efficiency Assessment;2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2024-06-03

5. Semi-Supervised End-to-End Learning for Integrated Sensing and Communications;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05

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