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An overview of signal processing techniques for joint communication and radar sensing
Joint communication and radar sensing (JCR) represents an emerging research field aiming
to integrate the above two functionalities into a single system, by sharing the majority of …
to integrate the above two functionalities into a single system, by sharing the majority of …
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 …
Integrated sensing and communication with massive MIMO: A unified tensor approach for channel and target parameter estimation
Benefitting from the vast spatial degrees of freedom, the amalgamation of integrated sensing
and communication (ISAC) and massive multiple-input multiple-output (MIMO) is expected to …
and communication (ISAC) and massive multiple-input multiple-output (MIMO) is expected to …
Channel estimation for extremely large-scale MIMO: Far-field or near-field?
Extremely large-scale multiple-input-multiple-output (XL-MIMO) is promising to meet the
high rate requirements for future 6G. To realize efficient precoding, accurate channel state …
high rate requirements for future 6G. To realize efficient precoding, accurate channel state …
The integrated sensing and communication revolution for 6G: Vision, techniques, and applications
N González-Prelcic, MF Keskin… - Proceedings of the …, 2024 - ieeexplore.ieee.org
Future wireless networks will integrate sensing, learning, and communication to provide new
services beyond communication and to become more resilient. Sensors at the network …
services beyond communication and to become more resilient. Sensors at the network …
Hybrid near-far field channel estimation for holographic MIMO communications
Holographic MIMO communications, enabled by large-scale antenna arrays with quasi-
continuous apertures, are potential technology for spectrum efficiency improvement …
continuous apertures, are potential technology for spectrum efficiency improvement …
Sparse channel estimation and hybrid precoding using deep learning for millimeter wave massive MIMO
Channel estimation and hybrid precoding are considered for multi-user millimeter wave
massive multi-input multi-output system. A deep learning compressed sensing (DLCS) …
massive multi-input multi-output system. A deep learning compressed sensing (DLCS) …
[LIVRE][B] Optical wireless communications: system and channel modelling with Matlab®
The 2nd Edition of Optical Wireless Communications: System and Channel Modelling with
MATLAB® with additional new materials, is a self-contained volume that provides a concise …
MATLAB® with additional new materials, is a self-contained volume that provides a concise …
Tensor decomposition-based channel estimation for hybrid mmWave massive MIMO in high-mobility scenarios
Massive multiple-input multiple-output (MIMO) integrated with millimeter-wave (mmWave)
can provide unprecedented performance improvement for realizing future wireless …
can provide unprecedented performance improvement for realizing future wireless …
GMD-based hybrid beamforming for large reconfigurable intelligent surface assisted millimeter-wave massive MIMO
Reconfigurable intelligent surface (RIS) is considered to be an energy-efficient approach to
reshape the wireless environment for improved throughput. Its passive feature greatly …
reshape the wireless environment for improved throughput. Its passive feature greatly …