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Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless Networks
We showcase how incorporating causal discovery can assist in achieving dynamic adaptability, resilience, and cognition in addressing these challenges.
Joint Sensing, Communication, and AI: A Trifecta for Resilient THz User Experiences
Second, a non-autoregressive multi-resolution generative artificial intelligence (AI) framework integrated with an adversarial transformer is proposed to predict missing and future sensing information.
The Seven Worlds and Experiences of the Wireless Metaverse: Challenges and Opportunities
We then articulate how these experiences bring forth interactions between diverse metaverse constituents, namely, a) humans and avatars and b) connected intelligence systems and their digital twins (DTs).
Disentangling Learnable and Memorizable Data via Contrastive Learning for Semantic Communications
Deep semantic clusters of highest confidence are considered learnable, semantic-rich data, i. e., data that can be used to build a language in a semantic communications system.
Less Data, More Knowledge: Building Next Generation Semantic Communication Networks
In this tutorial, we present the first rigorous vision of a scalable end-to-end semantic communication network that is founded on novel concepts from artificial intelligence (AI), causal reasoning, and communication theory.
Edge Continual Learning for Dynamic Digital Twins over Wireless Networks
To guarantee a robust connection between these two worlds, DTs should maintain accurate representations of the physical applications, while preserving synchronization between real and digital entities.
Seven Defining Features of Terahertz (THz) Wireless Systems: A Fellowship of Communication and Sensing
Based on these fundamentals, we characterize seven unique defining features of THz wireless systems: 1) Quasi-opticality of the band, 2) THz-tailored wireless architectures, 3) Synergy with lower frequency bands, 4) Joint sensing and communication systems, 5) PHY-layer procedures, 6) Spectrum access techniques, and 7) Real-time network optimization.
Information Theory Information Theory
