The drone-small-cell-assisted air-ground integrated network is a promising architecture for enabling diverse vehicle applications. This paper presents a joint resource slicing and vehicle association framework for drone-assisted vehicular networks, which facilitates spectrum sharing among heterogeneous base stations (BSs) and achieves dynamic resource provisioning in the presence of network load dynamics. We formulate the network utility maximization problem as mixed-integer nonlinear programming, considering traffic statistics, quality-of-service (QoS) constraints, varying vehicle locations, load conditions in each cell, and interdrone interference. The original maximization problem is transformed into a biconcave optimization problem to ensure mathematical tractability. An alternate concave search algorithm is then designed to iteratively solve vehicle association patterns and spectrum partitioning among heterogeneous BSs until convergence. Simulation results show that the proposed scheme achieves a significant performance improvement in throughput and spectrum utilization compared with two other baseline schemes.


    Access

    Download


    Export, share and cite



    Title :

    Joint Resource Slicing and Vehicle Association for Drone-Assisted Vehicular Networks


    Contributors:
    Hang Shen (author) / Tianjing Wang (author) / Yilong Heng (author) / Guangwei Bai (author)


    Publication date :

    2023




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Enhancing video streaming in vehicular networks via resource slicing

    Khan, H. (Hamza) / Samarakoon, S. (Sumudu) / Bennis, M. (Mehdi) | BASE | 2020

    Free access

    Poster: Drone Assisted Vehicular Communication (DAVN)

    Tahir, Muhammad Naeem / Katz, Marcos / Pouttu, Ari | IEEE | 2024


    Multi-Agent Reinforcement Learning for Slicing Resource Allocation in Vehicular Networks

    Cui, Yaping / Shi, Hongji / Wang, Ruyan et al. | IEEE | 2024


    Cross Network Slicing in Vehicular Networks

    Ibraheem, Amani | Springer Verlag | 2021


    Open-Source Simulators for Drone-Assisted Vehicular Ad Hoc Networks

    Kumar, Santosh / Vasudeva, Amol / Sood, Manu | Springer Verlag | 2023