Beyond deep reinforcement learning: A tutorial on generative diffusion models in network optimization
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …
Making sense of meaning: A survey on metrics for semantic and goal-oriented communication
Semantic communication (SemCom) aims to convey the meaning behind a transmitted
message by transmitting only semantically-relevant information. This semantic-centric …
message by transmitting only semantically-relevant information. This semantic-centric …
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 …
DRL-driven dynamic resource allocation for task-oriented semantic communication
H Zhang, H Wang, Y Li, K Long… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Semantic communication has been regarded as a promising technology to serve upcoming
intelligent applications. However, few studies have addressed the problem of resource …
intelligent applications. However, few studies have addressed the problem of resource …
Non-orthogonal multiple access enhanced multi-user semantic communication
Semantic communication has served as a novel paradigm and attracted a broad interest
from researchers. One critical aspect of it is the multi-user semantic communication theory …
from researchers. One critical aspect of it is the multi-user semantic communication theory …
Adaptable semantic compression and resource allocation for task-oriented communications
Task-oriented communication is a new paradigm that aims at providing efficient connectivity
for accomplishing intelligent tasks rather than reception of every transmitted bit. This paper …
for accomplishing intelligent tasks rather than reception of every transmitted bit. This paper …
Adaptive resource allocation for semantic communication networks
In this paper, we propose an adaptive semantic resource allocation paradigm with semantic-
bit quantization (SBQ) compatible with existing wireless communications, where the …
bit quantization (SBQ) compatible with existing wireless communications, where the …
Semantic communications for artificial intelligence generated content (AIGC) toward effective content creation
Artificial Intelligence Generated Content (AIGC) Services have significant potential in digital
content creation. The distinctive abilities of AIGC, such as content generation based on …
content creation. The distinctive abilities of AIGC, such as content generation based on …
A unified framework for integrating semantic communication and ai-generated content in metaverse
As the Metaverse continues to grow, the need for efficient communication and intelligent
content generation becomes increasingly important. Semantic communication focuses on …
content generation becomes increasingly important. Semantic communication focuses on …
Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across …
Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across …