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
  • [31] TOWARDS COGNITIVE AUTONOMOUS NETWORKS IN 5G
    Mwanje, Stephen S.
    Mannweiler, Christian
    2018 ITU KALEIDOSCOPE: MACHINE LEARNING FOR A 5G FUTURE (ITU K), 2018,
  • [32] Autonomous vehicles in 5G and beyond: A survey
    Hakak, Saqib
    Gadekallu, Thippa Reddy
    Maddikunta, Praveen Kumar Reddy
    Ramu, Swarna Priya
    Parimala, M.
    De Alwis, Chamitha
    Liyanage, Madhusanka
    VEHICULAR COMMUNICATIONS, 2023, 39
  • [33] A Stackelberg Game-Based Dynamic Resource Allocation in Edge Federated 5G Network
    Ahmed, Jargis
    Razzaque, Md Abdur
    Rahman, Md Mustafizur
    Alqahtani, Salman A.
    Hassan, Mohammad Mehedi
    IEEE ACCESS, 2022, 10 : 10460 - 10471
  • [34] 5G Edge Resource Federation: Dynamic and Cross-domain Network Slice Deployment
    Boubendir, Amina
    Guillemin, Fabrice
    Le Toquin, Christophe
    Alberi-Morel, Marie-Line
    Faucheux, Frederic
    Kerboeuf, Sylvaine
    Lafragette, Jean-Luc
    Orlandi, Barbara
    2018 4TH IEEE CONFERENCE ON NETWORK SOFTWARIZATION AND WORKSHOPS (NETSOFT), 2018, : 338 - 340
  • [35] Intelligent Traffic Adaptive Resource Allocation for Edge Computing-Based 5G Networks
    Chen, Min
    Miao, Yiming
    Gharavi, Hamid
    Hu, Long
    Humar, Iztok
    IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2020, 6 (02) : 499 - 508
  • [36] A Heterogeneous Virtual Machines Resource Allocation Scheme in Slices Architecture of 5G Edge Datacenter
    Zhao, Changming
    Wang, Tiejun
    Yang, Alan
    CMC-COMPUTERS MATERIALS & CONTINUA, 2019, 61 (01): : 423 - 437
  • [37] Efficient Resource Allocation Algorithm for Maximizing Operator Profit in 5G Edge Computing Network
    Liu, Jing
    Huang, Yuting
    Deng, Chunhua
    Zhang, Longxin
    Chen, Cen
    Li, Keqin
    JOURNAL OF GRID COMPUTING, 2025, 23 (01)
  • [38] Edge Intelligence for Energy-Efficient Computation Offloading and Resource Allocation in 5G Beyond
    Dai, Yueyue
    Zhang, Ke
    Maharjan, Sabita
    Zhang, Yan
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (10) : 12175 - 12186
  • [39] Assurance in Advanced 5G Edge Continuum
    Berto, Filippo
    Ardagna, Claudio A.
    Banzi, Massimo
    Anisetti, Marco
    IEEE ACCESS, 2024, 12 : 178659 - 178671
  • [40] Semantic Edge Caching and Prefetching in 5G
    Mehteroglu, Can
    Durmus, Yunus
    Onur, Ertan
    2017 14TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC), 2017, : 692 - 695