An Intelligent SDN Framework for 5G Heterogeneous Networks

被引:181
|
作者
Sun, Songlin [1 ]
Gong, Liang [2 ]
Rong, Bo [3 ]
Lu, Kejie [4 ,5 ]
机构
[1] Beijing Univ Posts & Telecommun, Beijing, Peoples R China
[2] Heirot Watt Univ, Edinburgh, Midlothian, Scotland
[3] Commun Res Ctr Canada, Ottawa, ON, Canada
[4] Shanghai Univ Elect Power, Sch Comp Engn, Shanghai, Peoples R China
[5] Univ Puerto Rico, Dept Elect & Comp Engn, Mayaguez, PR USA
基金
中国国家自然科学基金;
关键词
FUTURE;
D O I
10.1109/MCOM.2015.7321983
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
In fifth-generation (5G) mobile networks, a major challenge is to effectively improve system capacity and meet dynamic service demands. One promising technology to solve this problem is heterogeneous networks (HetNets), which involve a large number of densified low power nodes (LPNs). This article proposes a software defined network (SDN) based intelligent model that can efficiently manage the heterogeneous infrastructure and resources. In particular, we first review the latest SDN standards and discuss the possible extensions. We then discuss the advantages of SDN in meeting the dynamic nature of services and requirements in 5G HetNets. Finally, we develop a variety of schemes to improve traffic control, subscriber management, and resource allocation. Performance analysis shows that our proposed system is reliable, scalable, and implementable.
引用
收藏
页码:142 / 147
页数:6
相关论文
共 50 条
  • [1] An intelligent traffic prediction framework for 5G network using SDN and fusion learning
    Selvi, K. Tamil
    Thamilselvan, R.
    [J]. PEER-TO-PEER NETWORKING AND APPLICATIONS, 2022, 15 (01) : 751 - 767
  • [2] An intelligent traffic prediction framework for 5G network using SDN and fusion learning
    K. Tamil Selvi
    R. Thamilselvan
    [J]. Peer-to-Peer Networking and Applications, 2022, 15 : 751 - 767
  • [3] SDN Enabled QoE and Security Framework for Multimedia Applications in 5G Networks
    Krishnan, Prabhakar
    Jain, Kurunandan
    Jose, Pramod George
    Achuthan, Krishnashree
    Buyya, Rajkumar
    [J]. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2021, 17 (02)
  • [4] SDN-enabled Framework for Resilient Traffic Routing in 5G Networks
    Chi, Hsing-Chen
    Chang, Wu-Hsien
    Tseng, Min-Chi
    Yu, Yu-Ping
    Lai, Kuo-Hsiang
    [J]. 2022 23RD ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (APNOMS 2022), 2022, : 387 - 390
  • [5] SDN solutions for 5G transport networks
    Iovanna, Paola
    Ubaldi, Fabio
    [J]. 2015 INTERNATIONAL CONFERENCE ON PHOTONICS IN SWITCHING (PS), 2015, : 297 - 299
  • [6] iRSL: Intelligent RAT selection framework for beyond 5G networks
    Bhanu Priya
    Jyoteesh Malhotra
    [J]. Multimedia Tools and Applications, 2024, 83 : 28479 - 28504
  • [7] iRSL: Intelligent RAT selection framework for beyond 5G networks
    Priya, Bhanu
    Malhotra, Jyoteesh
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (10) : 28479 - 28504
  • [8] Distributed Estimation Framework for Beyond 5G Intelligent Vehicular Networks
    Yuan, Weijie
    Li, Shuangyang
    Xiang, Lin
    Ng, Derrick Wing Kwan
    [J]. IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY, 2020, 1 : 190 - 214
  • [9] A novel power consumption optimization framework in 5G heterogeneous networks
    Venkateswararao, Kuna
    Swain, Pravati
    Jha, Shashi Shekhar
    Ioannou, Iacovos
    Pitsillides, Andreas
    [J]. COMPUTER NETWORKS, 2023, 220
  • [10] PROSPECT OF 5G INTELLIGENT NETWORKS
    Huang, Yuhong
    Xu, Xiaodong
    Li, Nan
    Ding, Haiyu
    Tang, Xiaoxuan
    [J]. IEEE WIRELESS COMMUNICATIONS, 2020, 27 (04) : 4 - 5