Integrated sensing and communications: Toward dual-functional wireless networks for 6G and beyond

F Liu, Y Cui, C Masouros, J Xu, TX Han… - IEEE journal on …, 2022 - ieeexplore.ieee.org
As the standardization of 5G solidifies, researchers are speculating what 6G will be. The
integration of sensing functionality is emerging as a key feature of the 6G Radio Access …

A survey of beam management for mmWave and THz communications towards 6G

Q Xue, C Ji, S Ma, J Guo, Y Xu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Communication in millimeter wave (mmWave) and even terahertz (THz) frequency bands is
ushering in a new era of wireless communications. Beam management, namely initial …

Codebook design and beam training for extremely large-scale RIS: Far-field or near-field?

X Wei, L Dai, Y Zhao, G Yu, X Duan - China Communications, 2022 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is more likely to develop into extremely large-scale
RIS (XL-RIS) to efficiently boost the system capacity for future 6G communications. Beam …

Low-overhead beam training scheme for extremely large-scale RIS in near field

W Liu, C Pan, H Ren, F Shu, S Jin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Extremely large-scale reconfigurable intelligent surface (XL-RIS) has recently been
proposed and is recognized as a promising technology that can further enhance the …

Toward 6G Extreme Connectivity: Architecture, Key Technologies and Experiments

X You, Y Huang, S Liu, D Wang, J Ma… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Sixth-generation (6G) networks are evolving toward new features and order-of-magnitude
enhancement of systematic performance metrics compared to the current 5G. In particular …

Machine learning for millimeter wave and terahertz beam management: A survey and open challenges

MQ Khan, A Gaber, P Schulz, G Fettweis - IEEE Access, 2023 - ieeexplore.ieee.org
Next-generation wireless communication networks will benefit from beamforming gain to
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …

Deep learning for mmWave beam-management: State-of-the-art, opportunities and challenges

K Ma, Z Wang, W Tian, S Chen… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Benefiting from huge bandwidth resources, millimeter-wave (mmWave) communications
provide one of the most promising technologies for next-generation wireless networks. To …

Deep reinforcement learning based dynamic beam selection in dual-band communication systems

Z Zhang, J Zhang, Y Zhang, L Yu, F Gao… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
To reduce the downlink beam sweep overhead of mmWave systems, we propose a deep
reinforcement learning based dynamic beam selection (DRL-DBS) method. A new learning …

Multi-beam design for near-field extremely large-scale RIS-aided wireless communications

D Shen, L Dai, X Su, S Suo - IEEE Transactions on Green …, 2023 - ieeexplore.ieee.org
As the energy-saving array composed of passive elements, reconfigurable intelligent
surface (RIS) will evolve to the extremely large-scale RIS (XL-RIS) to overcome serious path …

Beam training and tracking in mmwave communication: A survey

W Yi, W Zhiqing, F Zhiyong - China Communications, 2024 - ieeexplore.ieee.org
Communicating on millimeter wave (mmWave) bands is ushering in a new epoch of mobile
communication which provides the availability of 10 Gbps high data rate transmission …