Pico Satellites for Cloud Radio Access Network

被引:0
作者
Bassoli, Riccardo [1 ]
Granelli, Fabrizio [1 ,2 ]
机构
[1] Univ Trento, Trento, Italy
[2] Consorzio Nazl Interuniv Telecomunicaz CNIT, Parma, Italy
来源
2019 IEEE 2ND 5G WORLD FORUM (5GWF) | 2019年
关键词
5G; network function virtualisation; cloud radio access network; pico satellite; CubeSat; space data centre;
D O I
10.1109/5gwf.2019.8911727
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Among main targets of fifth generation and beyond networks, there are perceived availability of 99.999% and 'anytime anywhere' connectivity. That would allow future generation networks to fully support very sensitive governmental services such as military and emergency ones. However, verticals like complex border monitoring would require connectivity in places where there is no available access network. Thus, the deployment of mobile base stations and the design of a system, based on virtualisation (e.g. cloud radio access network) and satellite-based network function virtualisation, can promise to achieve the desired goals for the mentioned verticals. This paper investigates the possibility to implement cloud radio access network in a system based on mobile base stations and CubeSats (pico satellites), which host the virtual network functions and the baseband processing. In particular, the investigation takes into account baseband functional split to study the feasibility of satellite-based cloud radio access network.
引用
收藏
页码:584 / 589
页数:6
相关论文
共 19 条
  • [1] Addaim A., 2007, 2007 IEEE Aerospace Conference, P1, DOI 10.1109/AERO.2007.353099
  • [2] Next Generation 5G Wireless Networks: A Comprehensive Survey
    Agiwal, Mamta
    Roy, Abhishek
    Saxena, Navrati
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2016, 18 (03): : 1617 - 1655
  • [3] [Anonymous], 2018, 3GPPTR38811
  • [4] Bassoli R., 2019, AEROSP CONF PROC, P1, DOI DOI 10.1109/aero.2019.8742142
  • [5] Bhaumik S, 2012, MOBICOM 12: PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING, P125
  • [6] Butters B., 2014, INT C TEL SYST SERV, P1, DOI DOI 10.1109/TSSA.2014.7065943
  • [7] Quantitative Analysis of Split Base Station Processing and Determination of Advantageous Architectures for LTE
    Doetsch, Uwe
    Doll, Mark
    Mayer, Hans-Peter
    Schaich, Frank
    Segel, Jonathan
    Sehier, Philippe
    [J]. BELL LABS TECHNICAL JOURNAL, 2013, 18 (01) : 105 - 128
  • [8] RT-OPEX: Flexible Scheduling for Cloud-RAN Processing
    Garikipati, Krishna C.
    Fawaz, Kassem
    Shin, Kang G.
    [J]. PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON EMERGING NETWORKING EXPERIMENTS AND TECHNOLOGIES (CONEXT'16), 2016, : 267 - 280
  • [9] Satellite-5G Integration: A Network Perspective
    Giambene, Giovanni
    Kota, Sastri
    Pillai, Prashant
    [J]. IEEE NETWORK, 2018, 32 (05): : 25 - 31
  • [10] Gillette A, 2017, PROC NAECON IEEE NAT, P135, DOI 10.1109/NAECON.2017.8268758