Semantic communications for future internet: Fundamentals, applications, and challenges

W Yang, H Du, ZQ Liew, WYB Lim… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
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 …

Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems

M Naeem, G De Pietro, A Coronato - Sensors, 2021 - mdpi.com
The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …

Understand-before-talk (UBT): A semantic communication approach to 6G networks

SR Pokhrel, J Choi - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
In Shannon theory, semantic aspects of communication were identified but considered
irrelevant to the technical communication problems. Semantic communication (SC) …

Reinforcement learning-powered semantic communication via semantic similarity

K Lu, R Li, X Chen, Z Zhao, H Zhang - arxiv preprint arxiv:2108.12121, 2021 - arxiv.org
We introduce a new semantic communication mechanism-SemanticRL, whose key idea is to
preserve the semantic information instead of strictly securing the bit-level precision. Unlike …

{GRACE}:{Loss-Resilient}{Real-Time} video through neural codecs

Y Cheng, Z Zhang, H Li, A Arapin, Y Zhang… - … USENIX Symposium on …, 2024 - usenix.org
In real-time video communication, retransmitting lost packets over high-latency networks is
not viable due to strict latency requirements. To counter packet losses without …

Ko codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning

AV Makkuva, X Liu, MV Jamali… - International …, 2021 - proceedings.mlr.press
Landmark codes underpin reliable physical layer communication, eg, Reed-Muller, BCH,
Convolution, Turbo, LDPC, and Polar codes: each is a linear code and represents a …

Deepcode: Feedback codes via deep learning

H Kim, Y Jiang, S Kannan, S Oh… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
The design of codes for communicating reliably over a statistically well defined channel is an
important endeavor involving deep mathematical research and wide-ranging practical …

Physical layer communication via deep learning

H Kim, S Oh, P Viswanath - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
Reliable digital communication is a primary workhorse of the modern information age. The
disciplines of communication, coding, and information theories drive the innovation by …

Artificial intelligence for 5g wireless systems: Opportunities, challenges, and future research direction

Y Arjoune, S Faruque - 2020 10th annual computing and …, 2020 - ieeexplore.ieee.org
The advent of the wireless communications systems augurs new cutting-edge technologies,
including self-driving vehicles, unmanned aerial systems, autonomous robots, the Internet-of …

The next decade of telecommunications artificial intelligence

Y Ouyang, L Wang, A Yang, M Shah… - arxiv preprint arxiv …, 2021 - arxiv.org
It has been an exciting journey since the mobile communications and artificial intelligence
were conceived 37 years and 64 years ago. While both fields evolved independently and …