End-to-End Power Models for 5G Radio Access Network Architectures with a Perspective on 6G

被引:1
|
作者
Doorgakant, Bhuvaneshwar [1 ]
Fowdur, Tulsi Pawan [1 ]
Akinsolu, Mobayode O. [2 ]
机构
[1] Univ Mauritius, Dept Elect & Elect Engn, Reduit 80837, Mauritius
[2] Wrexham Univ, Fac Arts Comp & Engn, Wrexham LL11 2AW, Wales
关键词
5G; 6G; base station; energy efficiency; power models; RAN architectures; SDN; ENERGY EFFICIENCY; MASSIVE MIMO; DESIGN; OPTIMIZATION; CONSUMPTION;
D O I
10.3390/math13030466
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
5G, the fifth-generation mobile network, is predicted to significantly increase the traditional trajectory of energy consumption. It now uses four times as much energy as 4G, the fourth-generation mobile network. As a result, compared to previous generations, 5G's increased cell density makes energy efficiency a top priority. The objective of this paper is to formulate end-to-end power consumption models for three different 5G radio access network (RAN) deployment architectures, namely the 5G distributed RAN, the 5G centralized RAN with dedicated hardware and the 5G Cloud Centralized-RAN. The end-to-end modelling of the power consumption of a complete 5G system is obtained by combining the power models of individual components such as the base station, the core network, front-haul, mid-haul and backhaul links, as applicable for the different architectures. The authors considered the deployment of software-defined networking (SDN) at the 5G Core network and gigabit passive optical network as access technology for the backhaul network. This study examines the end-to-end power consumption of 5G networks across various architectures, focusing on key dependent parameters. The findings indicate that the 5G distributed RAN scenario has the highest power consumption among the three models evaluated. In comparison, the centralized 5G and 5G Cloud C-RAN scenarios consume 12% and 20% less power, respectively, than the Centralized RAN solution. Additionally, calculations reveal that base stations account for 74% to 78% of the total power consumption in 5G networks. These insights helped pioneer the calculation of the end-to-end power requirements of different 5G network architectures, forming a solid foundation for their sustainable implementation. Furthermore, this study lays the groundwork for extending power modeling to future 6G networks.
引用
收藏
页数:36
相关论文
共 50 条
  • [1] The Proximity Radio Access Network for 5G and 6G
    Bi, Qi
    IEEE COMMUNICATIONS MAGAZINE, 2022, 60 (01) : 67 - 73
  • [2] Dynamic Migration of Microservices for End-to-End Latency Control in 5G/6G Networks
    Kaur, Kiranpreet
    Guillemin, Fabrice
    Sailhan, Francoise
    JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT, 2023, 31 (04)
  • [3] Dynamic Migration of Microservices for End-to-End Latency Control in 5G/6G Networks
    Kiranpreet Kaur
    Fabrice Guillemin
    Francoise Sailhan
    Journal of Network and Systems Management, 2023, 31
  • [4] Resource Management From Single-Domain 5G to End-to-End 6G Network Slicing: A Survey
    Ebrahimi, Sina
    Bouali, Faouzi
    Haas, Olivier C. L.
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2024, 26 (04): : 2836 - 2866
  • [5] An end-to-end demonstration for 5G network slicing
    Ni, Rui
    Li, Xu
    Chen, Jun
    Chen, Si
    Wang, Enbo
    Zhu, Ming
    Zhang, Wei
    Chen, Yuhua
    2019 IEEE 89TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-SPRING), 2019,
  • [6] Intent-Driven 6G End-to-End Network Orchestration
    Ouyang, Ying
    Li, Changle
    Zhang, Jingwen
    Zhao, Xiaoxue
    Yang, Chungang
    IEEE INFOCOM 2024-IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS, INFOCOM WKSHPS 2024, 2024,
  • [7] 5G New Radio Numerologies and their Impact on the End-To-End Latency
    Patriciello, Natale
    Lagen, Sandra
    Giupponi, Lorenza
    Bojovic, Biljana
    2018 IEEE 23RD INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (CAMAD), 2018, : 44 - 49
  • [8] On End-to-End Intelligent Automation of 6G Networks
    Moubayed, Abdallah
    Shami, Abdallah
    Al-Dulaimi, Anwer
    FUTURE INTERNET, 2022, 14 (06):
  • [9] The 5G EVE end-to-end 5G facility for extensive trials
    Gupta, Milon
    Legouable, Rodolphe
    Rosello, Marc Molla
    Cecchi, Maurizio
    Ruiz Alonso, Jaime
    Lorenzo, Manuel
    Kosmatos, Evangelos
    Boldi, Mauro R.
    Carrozzo, Gino
    2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2019,
  • [10] End-to-End Automation of 5G Networks
    Yahiya, Tara Ali
    Kirci, Pinar
    Beylot, Andre-Luc
    MOBILE INFORMATION SYSTEMS, 2019, 2019