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Semantic communications for future internet: Fundamentals, applications, and challenges
With the increasing demand for intelligent services, the sixth-generation (6G) wireless
networks will shift from a traditional architecture that focuses solely on a high transmission …
networks will shift from a traditional architecture that focuses solely on a high transmission …
A full dive into realizing the edge-enabled metaverse: Visions, enabling technologies, and challenges
Dubbed “the successor to the mobile Internet,” the concept of the Metaverse has grown in
popularity. While there exist lite versions of the Metaverse today, they are still far from …
popularity. While there exist lite versions of the Metaverse today, they are still far from …
Semantic communications: Principles and challenges
Semantic communication, regarded as the breakthrough beyond the Shannon paradigm,
aims at the successful transmission of semantic information conveyed by the source rather …
aims at the successful transmission of semantic information conveyed by the source rather …
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 …
Semantic communication systems for speech transmission
Semantic communications could improve the transmission efficiency significantly by
exploring the semantic information. In this paper, we make an effort to recover the …
exploring the semantic information. In this paper, we make an effort to recover the …
Overview of deep learning-based CSI feedback in massive MIMO systems
Many performance gains achieved by massive multiple-input and multiple-output depend on
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
Machine learning in healthcare
H Habehh, S Gohel - Current genomics, 2021 - benthamdirect.com
Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) technology
have brought on substantial strides in predicting and identifying health emergencies …
have brought on substantial strides in predicting and identifying health emergencies …
RIS-aided cell-free massive MIMO systems for 6G: Fundamentals, system design, and applications
An introduction of intelligent interconnectivity for people and things has posed higher
demands and more challenges for sixth-generation (6G) networks, such as high spectral …
demands and more challenges for sixth-generation (6G) networks, such as high spectral …
Machine learning for large-scale optimization in 6g wireless networks
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
6G and beyond: The future of wireless communications systems
6G and beyond will fulfill the requirements of a fully connected world and provide ubiquitous
wireless connectivity for all. Transformative solutions are expected to drive the surge for …
wireless connectivity for all. Transformative solutions are expected to drive the surge for …