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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 …
Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems
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 …
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
In Shannon theory, semantic aspects of communication were identified but considered
irrelevant to the technical communication problems. Semantic communication (SC) …
irrelevant to the technical communication problems. Semantic communication (SC) …
Reinforcement learning-powered semantic communication via semantic similarity
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 …
preserve the semantic information instead of strictly securing the bit-level precision. Unlike …
{GRACE}:{Loss-Resilient}{Real-Time} video through neural codecs
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 …
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
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 …
Convolution, Turbo, LDPC, and Polar codes: each is a linear code and represents a …
Deepcode: Feedback codes via deep learning
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 …
important endeavor involving deep mathematical research and wide-ranging practical …
Physical layer communication via deep learning
Reliable digital communication is a primary workhorse of the modern information age. The
disciplines of communication, coding, and information theories drive the innovation by …
disciplines of communication, coding, and information theories drive the innovation by …
Artificial intelligence for 5g wireless systems: Opportunities, challenges, and future research direction
The advent of the wireless communications systems augurs new cutting-edge technologies,
including self-driving vehicles, unmanned aerial systems, autonomous robots, the Internet-of …
including self-driving vehicles, unmanned aerial systems, autonomous robots, the Internet-of …
The next decade of telecommunications artificial intelligence
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 …
were conceived 37 years and 64 years ago. While both fields evolved independently and …