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Intelligent Reflecting Surface (IRS) Assisted Ultra-massive MIMO THz Communications for 6G

Project description

The next frontier in wireless communications

Terahertz (THz) band communications are key to meeting the increasing demands for wireless data traffic in sixth generation (6G) wireless networks. Ultra-massive multiple-input-multiple-output (UM-MIMO) antenna systems are a practical means for resolving the distance problem and increasing system capacity. The EU-funded IRS-THz project will develop and experimentally demonstrate THz communication technologies for 6G, integrating UM-MIMO and intelligent reflecting surface (IRS) technologies into THz systems. The project will apply directional beamforming to create reliable, long-distance, and ultra-fast THz communication links. IRS-THz will design hierarchical multi-resolution codebooks, find the optical phase-shift matrix for the IRS, study beam management (BM) problems, design joint resource allocation algorithms to fully harvest the potential of the THz networks.

Objective

In this project, we aim to develop and experimentally demonstrate terahertz (THz) communication technologies for the sixth generation (6G) of wireless networks. In particular, we will integrate ultra-massive multiple-input-multiple-output (UM-MIMO) and intelligent reflecting surface (IRS) technologies into THz systems and apply directional beamforming to establish reliable, long-distance, and ultra-fast THz communication links. To realize channel training for directional beamforming, we will design hierarchical multi-resolution codebooks and find the optimal phase-shift matrix for the IRS. Since the presence of the IRS complicates the original one-hop communication topology into a two-hop topology and user equipments (UEs) are usually moving, to reduce the channel training overhead and maintain high-quality links, we will study beam management (BM) problems, including adaptive beam alignment and beam tracking. Besides channel training, we will also design joint resource allocation algorithms to fully reap the potentials of the THz networks and support the diverse needs of UEs. To assess the performance of the proposed schemes in a real-world environment, we will also develop an easy-to-use software-defined IRS-assisted THz testbed for experimental demonstration. With seven years of research experience, Dr. Xu has developed a wide range of research expertise in massive MIMO, millimeter-wave networks, IRS-assisted communications in sub-6GHz systems, machine learning, etc. The implementation of this project will not only further extend his research field into IRS-assisted UM-MIMO THz communications, but will also significantly improve his project management and leadership skills.

Coordinator

UNIVERSITY COLLEGE LONDON
Net EU contribution
€ 212 933,76
Address
GOWER STREET
WC1E 6BT London
United Kingdom

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Region
London Inner London — West Camden and City of London
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 212 933,76