5G-COMPLETE: Service-Driven Slice Management over Heterogeneous 5G Infrastructures

被引:3
|
作者
Moscatelli, Francesca [1 ]
Landi, Giada [1 ]
Mesodiakaki, Agapi [2 ]
Gatzianas, Marios [2 ]
Kalfas, George [2 ]
Tzanakaki, Anna [3 ]
Anastasopoulos, Markos [3 ]
Giannoulis, Giannis [4 ]
Tokas, Konstantinos [4 ]
Apostolopoulos, Dimitris [4 ]
Avramopoulos, Hercules [4 ]
Simeonidou, Dimitra [5 ]
Nejabati, Reza [5 ]
机构
[1] Nextworks, Pisa, Italy
[2] Aristotle Univ Thessaloniki, Ctr Interdisciplinary Res & Innovat, Dept Informat, Thessaloniki, Greece
[3] Natl & Kapodistrian Univ Athens, Athens, Greece
[4] Natl Tech Univ Athens, Inst Commun & Comp Syst, Photon Commun Res Lab, Athens, Greece
[5] Univ Bristol, Bristol, Avon, England
来源
2021 IEEE 26TH INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (CAMAD) | 2021年
关键词
Edge-cloud; management and orchestration; 5G networks; end-to-end network slicing; network optimization; RESOURCE-ALLOCATION; NETWORKS;
D O I
10.1109/CAMAD52502.2021.9617774
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we present the 5G-COMPLETE project, which focuses on the delivery of novel technological blocks in both physical connectivity and network softwarization. In particular, the 5G-COMPLETE solution employs service-driven slice management in 5G and beyond 5G (B5G) networks, while integrating the orchestration of radio, transport and core network resources as well as cloud and edge computing resources. 5G-COMPLETE aims to build upon a well-defined architecture as well as the network management and orchestration layer with two main goals: i) develop novel networking and compute blocks, integrating them in a heterogeneous infrastructure where service-driven slice management can assist use cases in realistic deployment options, ii) develop solutions to provide a higher and more intelligent level of network management boosted by Artificial Intelligence/Machine Learning (AI/ML) assisted tools for improving operational efficiency, energy efficiency and reducing the operational expenditure of 5G and B5G networks.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] 5G-COMPLETE: End-to-end Resource Allocation in Highly Heterogeneous Beyond 5G Networks
    Mesodiakaki, Agapi
    Gatzianas, Marios
    Kalfas, George
    Moscatelli, Francesca
    Landi, Giada
    Ciulli, Nicola
    Lossi, Leonardo
    2021 IEEE 4TH 5G WORLD FORUM (5GWF 2021), 2021, : 412 - 417
  • [2] 5G Service and Slice Implementation for a Military Use Case
    Gronsund, Pal
    Gonzalez, Andres
    Mahmood, Kashif
    Nomeland, Kennet
    Pitter, Jan
    Dimitriadis, Antonios
    Berg, Tom-Kristian
    Gelardi, Stephen
    2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2020,
  • [3] Scheduling Slice Requests in 5G Networks
    Prasad, Reshma
    Sunny, Albert
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2023, 31 (06) : 3025 - 3036
  • [4] Dynamic access control and slice allocation algorithm for diverse traffic demand over 5G heterogeneous networks
    Gonzalez, Claudia Carballo
    Fontes Pupo, Ernesto
    Atzori, Luigi
    Murroni, Maurizio
    2021 IEEE INTERNATIONAL SYMPOSIUM ON BROADBAND MULTIMEDIA SYSTEMS AND BROADCASTING (BMSB), 2021,
  • [5] 5G/NGPON Evolution and Convergence: Developing on Spatial Multiplexing of Optical Fiber Links for 5G Infrastructures
    Lagkas, Thomas
    Klonidis, Dimitrios
    Sarigiannidis, Panagiotis
    Tomkos, Ioannis
    FIBER AND INTEGRATED OPTICS, 2020, 39 (01) : 4 - 23
  • [6] Market Driven Multidomain Network Service Orchestration in 5G Networks
    Dieye, Mouhamad
    Jaafar, Wael
    Elbiaze, Halima
    Glitho, Roch H.
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2020, 38 (07) : 1417 - 1431
  • [7] Minimizing the Cost of 5G Network Slice Broker
    Gohar, Ali
    Nencioni, Gianfranco
    IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (IEEE INFOCOM WKSHPS 2021), 2021,
  • [8] Interference Minimization in 5G Heterogeneous Networks
    Han, Tao
    Mao, Guoqiang
    Li, Qiang
    Wang, Lijun
    Zhang, Jing
    MOBILE NETWORKS & APPLICATIONS, 2015, 20 (06) : 756 - 762
  • [9] Smart heterogeneous networks: a 5G paradigm
    Ali, Mudassar
    Mumtaz, Shahid
    Qaisar, Saad
    Naeem, Muhammad
    TELECOMMUNICATION SYSTEMS, 2017, 66 (02) : 311 - 330
  • [10] Artificial Intelligence in 5G Systems: Management of Resources in High-Altitude Infrastructures
    Madhura, K.
    Singh, Vikash Kumar
    Sivashankar, Durga
    Rampal, Sourav
    Mohanty, Swaroop
    Goyal, Shubhi
    INTERNET TECHNOLOGY LETTERS, 2025, 8 (03)