A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications
Extremely large-scale multiple-input-multiple-output (XL-MIMO), which offers vast spatial
degrees of freedom, has emerged as a potentially pivotal enabling technology for the sixth …
degrees of freedom, has emerged as a potentially pivotal enabling technology for the sixth …
A survey of beam management for mmWave and THz communications towards 6G
Communication in millimeter wave (mmWave) and even terahertz (THz) frequency bands is
ushering in a new era of wireless communications. Beam management, namely initial …
ushering in a new era of wireless communications. Beam management, namely initial …
Mobility support for millimeter wave communications: Opportunities and challenges
Millimeter-wave (mmWave) communication technology offers a potential and promising
solution to support 5G and B5G wireless networks in dynamic scenarios and applications …
solution to support 5G and B5G wireless networks in dynamic scenarios and applications …
Low-overhead beam training scheme for extremely large-scale RIS in near field
Extremely large-scale reconfigurable intelligent surface (XL-RIS) has recently been
proposed and is recognized as a promising technology that can further enhance the …
proposed and is recognized as a promising technology that can further enhance the …
Deep learning based beam training for extremely large-scale massive MIMO in near-field domain
Extremely large-scale massive multiple-input-multiple-output (XL-MIMO) is regarded as a
promising technology for next-generation communication systems. In order to enhance the …
promising technology for next-generation communication systems. In order to enhance the …
Quantum-inspired machine learning for 6G: fundamentals, security, resource allocations, challenges, and future research directions
Quantum computing is envisaged as an evolving paradigm for solving computationally
complex optimization problems with a large-number factorization and exhaustive search …
complex optimization problems with a large-number factorization and exhaustive search …
Machine learning for millimeter wave and terahertz beam management: A survey and open challenges
Next-generation wireless communication networks will benefit from beamforming gain to
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …
Deep learning assisted mmwave beam prediction for heterogeneous networks: A dual-band fusion approach
In this paper, motivated by the inter-base station (BS) channel dependence due to the
shared wireless environment, we propose to fuse sub-6 GHz channel information and …
shared wireless environment, we propose to fuse sub-6 GHz channel information and …
Deep learning for mmWave beam-management: State-of-the-art, opportunities and challenges
Benefiting from huge bandwidth resources, millimeter-wave (mmWave) communications
provide one of the most promising technologies for next-generation wireless networks. To …
provide one of the most promising technologies for next-generation wireless networks. To …
Near-field beam training based on deep learning for extremely large-scale MIMO
G Jiang, C Qi - IEEE Communications Letters, 2023 - ieeexplore.ieee.org
Extremely large-scale multiple-input multiple-output (XL-MIMO) is considered as a key
technology for future wireless communications. For near-field beam training in XL-MIMO, the …
technology for future wireless communications. For near-field beam training in XL-MIMO, the …