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 …
Intelligent Multi-Modal Sensing-Communication Integration: Synesthesia of Machines
In the era of sixth-generation (6G) wireless communications, integrated sensing and
communications (ISAC) is recognized as a promising solution to upgrade the physical …
communications (ISAC) is recognized as a promising solution to upgrade the physical …
Mobility-aware cooperative caching in vehicular edge computing based on asynchronous federated and deep reinforcement learning
Vehicular edge computing (VEC) can learn and cache most popular contents for vehicular
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …
On the interplay between sensing and communications for UAV trajectory design
The unmanned aerial vehicles (UAVs) are envisioned as promising aerial facilities for
providing advanced communication services as well as sensing functionalities in the next …
providing advanced communication services as well as sensing functionalities in the next …
Data synchronization in vehicular digital twin network: A game theoretic approach
A fundamental issue of the vehicular digital twin (DT) is efficiently synchronizing the data
between the DT and the vehicular user (VUE). In this paper, we consider the heterogeneous …
between the DT and the vehicular user (VUE). In this paper, we consider the heterogeneous …
Blockage effects of road bridge on mmwave channels for intelligent autonomous vehicles
Vehicular communication and sensing technologies are key to enabling 6G Intelligent
Autonomous Transportation Systems (IATS). With the introduction of massive sensors and …
Autonomous Transportation Systems (IATS). With the introduction of massive sensors and …
A RIS-based vehicle DOA estimation method with integrated sensing and communication system
With the development of intelligent transportation, growing attention has been received to
integrated sensing and communication (ISAC) systems. In this paper, we formulate a novel …
integrated sensing and communication (ISAC) systems. In this paper, we formulate a novel …
AFL-DMAAC: Integrated resource management and cooperative caching for URLLC-IoV networks
B Hazarika, K Singh - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
In this paper, we propose a novel approach for optimal resource management and caching
in ultra-reliable low-latency communication (URLLC)-enabled Internet of Vehicles (IoV) …
in ultra-reliable low-latency communication (URLLC)-enabled Internet of Vehicles (IoV) …
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 …
Electromagnetic property sensing: A new paradigm of integrated sensing and communication
Integrated sensing and communication (ISAC) has opened up numerous game-changing
opportunities for future wireless systems. In this paper, we develop a novel scheme that …
opportunities for future wireless systems. In this paper, we develop a novel scheme that …