Autonomous Edge Resource Organization with Smallcell Integration in 5G

被引:0
|
作者
Malik, Ahsan [1 ]
Xiao, Xun [1 ]
Khalili, Ramin [1 ]
Despotovic, Zoran [1 ]
Hecker, Artur [1 ]
Arumaithurai, Mayutan [2 ]
Fu, Xiaoming [2 ]
机构
[1] Huawei, Munich Res Ctr, Munich, Germany
[2] Georg August Univ Gottingen, Inst Comp Sci, Gottingen, Germany
基金
欧盟地平线“2020”;
关键词
Autonomous; Small Cells; MEC; 5G Networks;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In the upcoming 5G era, many new use cases (e.g. emergency situations, crowded sports event coverage, etc.) are expected to be supported. Additionally, to improve latency and jitter, 5G is likely to support edge computing capabilities, e.g. in an NFV and MEC fashion. These features and requirements call for support for autonomous networking, where links, nodes and their services cannot be presumed permanent, but rather have to be dynamically used, when available and suitable. In this paper, we propose a new design framework, named Aerosmith, which provides autonomous edge resource organization with smallcell integration and topology handling. We motivate our design, explain the key architectural decisions and our prototype implementation, and provide initial evaluation results.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Autonomous 5G Smallcell Network Deployment and Optimization in Unlicensed Spectrum
    Sevindik, Volkan
    2019 IEEE 2ND 5G WORLD FORUM (5GWF), 2019, : 446 - 451
  • [2] Resource Management Issues in 5G Ultra Dense Smallcell Networks
    Chuang, Ming-Chin
    Chen, Meng Chang
    Sun, Yeali S.
    2015 INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN), 2015, : 159 - 164
  • [3] Autonomous Vehicles Enabled by the Integration of IoT, Edge Intelligence, 5G, and Blockchain
    Biswas, Anushka
    Wang, Hwang-Cheng
    SENSORS, 2023, 23 (04)
  • [4] Virtual Resource Consolidation in the Edge for 5G Networks
    Kokkinos, P.
    Kretsis, A.
    Varvarigos, E.
    2018 IEEE 29TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2018,
  • [5] Intelligent Resource Orchestration for 5G Edge Infrastructures
    Moreno-Vozmediano, Rafael
    Montero, Ruben S.
    Huedo, Eduardo
    Llorente, Ignacio M.
    FUTURE INTERNET, 2024, 16 (03)
  • [6] Enabling Autonomous and Connected Vehicles at the 5G Network Edge
    Coronado, Estefania
    Cebrian-Marquez, Gabriel
    Riggio, Roberto
    PROCEEDINGS OF THE 2020 6TH IEEE CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2020): BRIDGING THE GAP BETWEEN AI AND NETWORK SOFTWARIZATION, 2020, : 350 - 352
  • [7] Resource Calendaring for Mobile Edge Computing in 5G Networks
    Xiang, Bin
    Elias, Jocelyne
    Martignon, Fabio
    Di Nitto, Elisabetta
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021), 2021,
  • [8] Algorithm for 5G Resource Management Optimization in Edge Computing
    Lieira, Douglas Dias
    Quessada, Matheus Sanches
    Cristiani, Andre Luis
    Meneguette, Rodolfo Ipolito
    IEEE LATIN AMERICA TRANSACTIONS, 2021, 19 (10) : 1772 - 1780
  • [9] Toward 5G Edge Computing for Enabling Autonomous Aerial Vehicles
    Damigos, Gerasimos
    Lindgren, Tore
    Nikolakopoulos, George
    IEEE ACCESS, 2023, 11 : 3926 - 3941
  • [10] A Route Planning for Autonomous Vehicle in 5G and Edge Computing Environment
    Pan, Kai
    Kong, Weibo
    Guo, Xing
    2022 8TH INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING AND COMMUNICATIONS, BIGCOM, 2022, : 294 - 303