Dynamics of the flexible functional split selection in 5G networks

被引:5
|
作者
Alba, Alberto Martinez [1 ]
Janardhanan, Shakthivelu [1 ]
Kellerer, Wolfgang [1 ]
机构
[1] Tech Univ Munich, Chair Commun Networks, Munich, Germany
基金
欧洲研究理事会;
关键词
5G; flexible; adaptation; functional; split;
D O I
10.1109/GLOBECOM42002.2020.9322543
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The architecture of the radio access network (RAN) in 5G features a functional split between centralized and distributed units, which can he leveraged to reduce inter-cell interference. Recent work proposes to dynamically adapt this split in accordance with the instantaneous interference situation experienced by all users. However, it is unclear whether performing this flexible adaptation is actually feasible, since the interference situation changes continuously as users move. In this work, we investigate the impact of mobility on the problem of dynamically selecting the optimal functional split. We employ a mobility simulator based on real street layouts and trace-derived traffic patterns to generate continuously varying interference situations. Then, we analyze how frequently the optimal functional split changes and how much the performance of previous splits differs from the new, optimal one. The results allow us to estimate the time required for a viable flexible functional split adaptation.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Flexible Fog Computing and Telecom Architecture for 5G Networks
    Velasco, Luis
    Ruiz, Marc
    2018 20TH ANNIVERSARY INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON), 2018,
  • [32] Dedicated Path Protection with Flexible Switching Selection in Passive Optical 5G Xhaul Access Networks
    Klinkowski, Miroslaw
    PHOTONICS, 2024, 11 (10)
  • [33] Cloud Technologies for Flexible 5G Radio Access Networks
    Rost, Peter
    Bernardos, Carlos J.
    De Domenico, Antonio
    Di Girolamo, Marco
    Lalam, Massinissa
    Maeder, Andreas
    Sabella, Dario
    Wuebben, Dirk
    IEEE COMMUNICATIONS MAGAZINE, 2014, 52 (05) : 68 - 76
  • [34] An efficient RAT selection mechanism for 5G cellular networks
    Kaloxylos, Alexandros
    Barmpounakis, Sokratis
    Spapis, Panagiotis
    Alonistioti, Nancy
    2014 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC), 2014, : 942 - 947
  • [35] Learning RAT Selection Game in 5G Heterogeneous Networks
    Naghavi, Parnia
    Rastegar, Seyed Hamed
    Shah-Mansouri, Vahid
    Kebriaei, Hamed
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2016, 5 (01) : 52 - 55
  • [36] Intelligent Symbiotic Relay Selection Technique for 5G Networks
    Ndubuaku, Maryleen U.
    Okafor, Kennedy Chinedu
    Udeze, Chidiebele Chinwendu
    Salih, Omar
    INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH IN AFRICA, 2019, 43 : 84 - 100
  • [37] An adaptive and distributed network selection mechanism for 5G networks
    Modeas, Ioannis
    Kaloxylos, Alexandros
    Merakos, Lazaros
    Tsolkas, Dimitris
    COMPUTER NETWORKS, 2021, 189
  • [38] MIMO Beam Selection in 5G Using Neural Networks
    Ruseckas, Julius
    Molis, Gediminas
    Bogucka, Hanna
    INTERNATIONAL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS, 2021, 67 (04) : 693 - 698
  • [39] An Optimal Stopping Approach to Cell Selection in 5G Networks
    Wei, Ning
    Yue, Guangrong
    Zhang, Zhongpei
    IEEE ACCESS, 2019, 7 : 116094 - 116106
  • [40] A Quasi-Birth-Death model for Functional Split in 5G Controllers
    Diez, Luis
    Hervella, Cristina
    Aguero, Ramon
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021), 2021,