Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …
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 …
Generative AI-driven semantic communication networks: Architecture, technologies and applications
Generative artificial intelligence (GAI) has emerged as a rapidly burgeoning field
demonstrating significant potential in creating diverse contents intelligently and …
demonstrating significant potential in creating diverse contents intelligently and …
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 …
Generative ai for unmanned vehicle swarms: Challenges, applications and opportunities
With recent advances in artificial intelligence (AI) and robotics, unmanned vehicle swarms
have received great attention from both academia and industry due to their potential to …
have received great attention from both academia and industry due to their potential to …
A perceptually motivated approach for low-complexity speech semantic communication
X Chen, J Wang, L Xu, J Huang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Deep learning-based semantic communication is an emerging communication method that
achieves cooperative transmission between source and channel. The primary objectives of …
achieves cooperative transmission between source and channel. The primary objectives of …
Enhancing Semantic Communication with Deep Generative Models--An ICASSP Special Session Overview
E Grassucci, Y Mitsufuji, P Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
Semantic communication is poised to play a pivotal role in shaping the landscape of future
AI-driven communication systems. Its challenge of extracting semantic information from the …
AI-driven communication systems. Its challenge of extracting semantic information from the …
Feature Allocation for Semantic Communication with Space-Time Importance Awareness
In the realm of semantic communication, the significance of encoded features can vary,
while wireless channels are known to exhibit fluctuations across multiple subchannels in …
while wireless channels are known to exhibit fluctuations across multiple subchannels in …
A Feature-Enhanced and Adaptive Routing Framework for Fish School Detection on AUVs for Degraded Underwater Imaging Environments
Underwater biological detection technology holds considerable promise for delving into the
abundance of marine species and resources. It can seamlessly integrate into autonomous …
abundance of marine species and resources. It can seamlessly integrate into autonomous …
Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey
The success of Artificial Intelligence (AI) in multiple disciplines and vertical domains in
recent years has promoted the evolution of mobile networking and the future Internet toward …
recent years has promoted the evolution of mobile networking and the future Internet toward …