Bayesian inverse contextual reasoning for heterogeneous semantics-native communication
This work deals with a heterogeneous semantics-native communication (SNC) problem.
When agents do not share the same communication context, the effectiveness of contextual …
When agents do not share the same communication context, the effectiveness of contextual …
Semantics-native communication via contextual reasoning
Recently, machine learning (ML) has shown its effectiveness in improving communication
efficiency by reinstating the semantics of bits. To understand its underlying principles, we …
efficiency by reinstating the semantics of bits. To understand its underlying principles, we …
Semantics-native communication with contextual reasoning
Spurred by a huge interest in the post-Shannon communication, it has recently been shown
that leveraging semantics can significantly improve the communication effectiveness across …
that leveraging semantics can significantly improve the communication effectiveness across …
Reasoning over the air: A reasoning-based implicit semantic-aware communication framework
Semantic-aware communication is a novel paradigm that draws inspiration from human
communication focusing on the delivery of the meaning of messages. It has attracted …
communication focusing on the delivery of the meaning of messages. It has attracted …
Imitation learning-based implicit semantic-aware communication networks: Multi-layer representation and collaborative reasoning
Semantic communication has recently attracted significant interest from both industry and
academia due to its potential to transform the existing data-focused communication …
academia due to its potential to transform the existing data-focused communication …
Transceiver cooperative learning-aided semantic communications against mismatched background knowledge bases
Y Wang, S Guo - arXiv preprint arXiv:2301.03133, 2023 - arxiv.org
Semantic communications learned on background knowledge bases (KBs) have been
identified as a promising technology for communications between intelligent agents. Existing …
identified as a promising technology for communications between intelligent agents. Existing …
An Efficient Federated Learning Framework for Training Semantic Communication Systems
Semantic communication has emerged as a pillar for the next generation of communication
systems due to its capabilities in alleviating data redundancy. Most semantic communication …
systems due to its capabilities in alleviating data redundancy. Most semantic communication …
Large AI model empowered multimodal semantic communications
Multimodal signals, including text, audio, image and video, can be integrated into Semantic
Communication (SC) for providing an immersive experience with low latency and high …
Communication (SC) for providing an immersive experience with low latency and high …
Adversarial Learning for Implicit Semantic-Aware Communications
Semantic communication is a novel communication paradigm that focuses on recognizing
and delivering the desired meaning of messages to the destination users. Most existing …
and delivering the desired meaning of messages to the destination users. Most existing …
Reasoning on the air: An implicit semantic communication architecture
Semantic communication is a novel communication paradigm which draws inspiration from
human communication focusing on the delivery of the meaning of a message to the intended …
human communication focusing on the delivery of the meaning of a message to the intended …