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The code for the paper "Near-Field Integrated Sensing and Communications" in IEEE Communications Letters
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The code for the paper "Beamfocusing Optimization for Near-Field Wideband Multi-User Communications" in IEEE Transactions on Communications
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The code for the paper "Beamforming Optimization for Continuous Aperture Array (CAPA)-based Communications" in IEEE Transactions on Wireless Communications
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The code for the paper "Near-Field Velocity Sensing and Predictive Beamforming" in IEEE Transactions on Vehicular Technology
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Near-Field-Sensing-A-Low-Complexity-Wavenumber-Domain-Positioning-Method Public
Forked from Dr-Evil-Jiang/Near-Field-Sensing-A-Low-Complexity-Wavenumber-Domain-Positioning-Method -
The code for the paper "TTD Configurations for Near-Field Beamforming: Parallel, Serial, or Hybrid?" in IEEE Transactions on Communications
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The code for the paper "Simultaneously transmitting and reflecting surface (STARS) for terahertz communications" in IEEE Journal of Selected Topics in Signal Processing
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The code for the paper "STARS Enabled Integrated Sensing and Communications" in IEEE Transactions on Wireless Communications
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coupled-phase-shift-STAR-RIS Public
The code for the paper "Coupled Phase-Shift STAR-RISs: A General Optimization Framework" in IEEE Wireless Communications Letters
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The code for the paper "NOMA Empowered Integrated Sensing and Communication" in IEEE Communications Letters
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The code for the paper "NOMA-aided Joint Communication, Sensing, and Multi-tier Computing Systems" in IEEE Journal on Selected Areas in Communications
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Optimization-for-wireless-communications Public
Forked from STAR-Yuanwei-Liu/Optimization-for-wireless-communications -
Must-Reading-on-ISAC Public
Forked from yuanhao-cui/Must-Reading-on-ISACMust Reading Papers, Research Library, Open-Source Code on Integrated Sensing and Communications (aka. Joint Radar and Communications, Joint Sensing and Communications, Dual-Functional Radar Commun…
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MSc thesis at Imperial College London
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Machine-Learning-Exercise Public
There are my codes of the exercises in Andrew Ng's Machine Learning course on Coursera
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