Dynamic Virtual Network Connectivity for C-RAN Backhauling

被引:0
|
作者
Asensio, A. [1 ]
Ruiz, M. [1 ]
Velasco, L. [1 ]
机构
[1] Univ Politecn Cataluna, Opt Commun Grp GCO, Barcelona, Spain
来源
2017 19TH INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON) | 2017年
关键词
cloud services; cloud radio access network; customer virtual networks; telecom cloud;
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
Aiming at satisfying in a cost-effective manner the forecast traffic growth that future mobile networks will need to support, traditional distributed Radio Access Networks (RANs) are evolving towards centralized architectures. Specifically, the Cloud-RAN (C-RAN) architecture has shown that can alleviate to some extent the ever increasing Total Cost of Ownership in mobile networks. The current trend in C-RAN is to separate Remote Radio Heads (RRH) with radio frequency (RF) functions and Baseband Units (BBU) gathering baseband processing. This functional split allows keeping RF modules close to the antennas while placing BBUs at centralized locations so they can be shared among different sites and even be virtualized. However, some issues still need to be addressed in future mobile networks, especially due to the dynamicity of services and the strict constraints imposed by the interfaces needed. Since connectivity reconfiguration for backhaul interfaces (X2 and S1) needs to be provided as an all-or-nothing request to enable mobile resources reconfiguration in a geographical area, in this paper we propose dynamic Customer Virtual Network (CVN) reconfiguration to be supported in metro and core network segments. Additionally, such CVN requests must include Quality of Service constraints to ensure specific delay constraints, as well as bitrate guarantees to avoid service interruption. An efficient algorithm is presented for the CVN reconfiguration problem and exhaustive simulation results study its performance on realistic scenarios.
引用
收藏
页数:4
相关论文
共 45 条
  • [21] Fronthaul-aware superposition coding for noncoherent transmission in C-RAN downlink
    Seok-Hwan Park
    Changick Song
    Annals of Telecommunications, 2017, 72 : 661 - 667
  • [22] Large System Analysis of Downlink C-RAN with Phase Noise and Fronthaul Compression
    Yishi Xue
    Jun Zhang
    Shi Jin
    Gan Zheng
    Hongbo Zhu
    中国通信, 2019, 16 (08) : 58 - 71
  • [23] Green transmission for C-RAN based on SWIPT in 5G: a review
    Fadhil Mukhlif
    Kamarul Ariffin Bin Noordin
    Ali Mohammed Mansoor
    Zarinah Mohd Kasirun
    Wireless Networks, 2019, 25 : 2621 - 2649
  • [24] Fronthaul Compression and Transmit Beamforming Optimization for Multi-Antenna Uplink C-RAN
    Zhou, Yuhan
    Yu, Wei
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2016, 64 (16) : 4138 - 4151
  • [25] Sparse Active User Detection and Channel Estimation Using ADMM in Uplink C-RAN
    Dong, Zhenjun
    Ji, Ronghua
    Zhao, Jian
    2019 11TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2019,
  • [26] User-Centric Performance Optimization With Remote Radio Head Cooperation in C-RAN
    You, Lei
    Yuan, Di
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 19 (01) : 340 - 353
  • [27] Rate Performance Analysis of User-Centric C-RAN with Orthogonal Multiple Access
    Liu, Zhiyang
    Zhao, Yingxin
    Wu, Hong
    2019 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2019,
  • [28] Energy-Efficient Joint Association and Precoding in Ultra-Dense C-RAN
    Zamani, Alireza
    Taghizadeh, Omid
    Schmeink, Anke
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (03) : 2862 - 2866
  • [29] Rateless Code Profiles Design for Uplink C-RAN under Block Fading Channel
    Zhang, Yu
    Xu, Jiali
    Peng, Hong
    Lu, Weidang
    Hua, Jingyu
    2018 10TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2018,
  • [30] Joint Computing and Radio Resource Allocation in C-RAN Systems Under Imperfect CSI
    Wang, Kangkang
    Wang, Ying
    Su, Runcong
    2019 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2019,