Communication and computational resource optimization for ...

This work presents an integrated framework for MEC and Industry 5.0, aimed at enhancing the performance, efficiency, and flexibility of industrial processes.

By offloading computation-intensive tasks to Mobile Edge Cloud Computing (MEC) servers at the network's edge, businesses can achieve real-time ...

Communication and Computing Resource Optimization for ... - arXiv

In this paper, we first explore the joint optimization on driving safety, vehicle string stability, and road traffic throughput.

Communication and computational resource optimization for ...

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Joint Communication and Computing Resource Optimization for ...

Integrated AI and Communication have been identified as crucial elements for IMT2030 by ITU-R. The integration of communication and computing in the RAN ...

Joint Computation and Communication Resource Optimization for ...

We propose a joint optimization strategy to reduce system's worst-case latency and UAV hovering time by optimizing BD-IRS-UAV deployment and resource ...

Communication and Computing Resource Optimization for ...

: COMMUNICATION AND COMPUTING RESOURCE OPTIMIZATION FOR CONNECTED AUTONOMOUS DRIVING. 12653 and on-board processing capacity (computing resource). Suffi ...

Optimizing communication and computational resource allocations ...

Our proposed TGDRL scheme keeps two reinforcement learning agents. Each agent contains a reinforcement learning architecture with generative ...

Communication and Computing Resource Optimization for ...

Request PDF | Communication and Computing Resource Optimization for Connected Autonomous Driving | Transportation system is facing a sharp disruption since ...

Communication and computational resource optimization for ... - OUCI

Communication and computational resource optimization for Industry 5.0 smart devices empowered by MEC · Ali Nauman · Wali Ullah Khan · Ghadah Aldehim · Hamed ...

Computational Methods for Decision Making – Resource Optimization

The emphasis of the Resource Optimization program is the development of innovative models and solution strategies for naval-relevant problems in resource ...

Resource allocation optimization for effective vehicle network ...

This new technology utilizes moving-edge computing technology and wireless resource management to provide low latency and high bandwidth communication services ...

Resource and trajectory optimization for secure communication in ...

The combination of unmanned aerial vehicles (UAVs) and mobile edge computing (MEC) is considered as a promising approach to tackle soaring ...

Adaptive resource optimization for edge inference with goal-oriented ...

An efficient design of the EI platform calls for the adoption of a holistic approach, where communication, computation, learning, and control ...

Resource Optimization for Multi-Unmanned Aerial Vehicle ... - MDPI

... resource allocation between UAVs and edge computing ... communication underlaying cellular networks: An alternating optimization method.

"UAV-X Communication: Empirical Characterization and ...

... computation and communication resources in the network. In this setup, we jointly optimize the BS transmitter precoding vector, UUE uplink transmit power ...

Resource Optimization for Multi-Unmanned Aerial Vehicle ... - OUCI

Deep reinforcement learning for dynamic multichannel access. Proceedings of the International Conference on Computing, Networking and Communications, Silicon ...

Deep reinforcement learning‐based joint optimization of ...

Deep reinforcement learning‐based joint optimization of computation offloading and resource allocation in F‐RAN ... communication and computing ...

Vehicle Selection and Resource Optimization for Federated ...

Vehicular edge computing (VEC) aims to exploit the com- putation, storage, and communication resources at the edge of vehicular networks [10]. The edge servers ...

Towards Enhanced Energy Aware Resource Optimization for Edge ...

Towards Enhanced Energy Aware Resource Optimization for Edge Devices Through Multi-cluster Communication Systems. J Grid Computing 22, 56 (2024) ...