A Cell Outage Compensation Mechanism Based on IPSO for 5G Ultra-dense Small Cell Networks

被引:1
作者
Chen, Cheng [1 ]
Yu, Peng [1 ]
Feng, Lei [1 ]
Zhou, Fanqin [1 ]
Li, Wenjing [1 ]
Lin, Wei [2 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China
[2] Inspur Grp Co Ltd, Jinan, Shandong, Peoples R China
来源
2021 IEEE 26TH INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (CAMAD) | 2021年
基金
中国国家自然科学基金;
关键词
multi-tier ultra-dense heterogeneous small cell networks; self-organizing network; improved particle swarm algorithm; cell outage compensation;
D O I
10.1109/CAMAD52502.2021.9617771
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
To cope with the increment of mobile communication in 5G networks, Internet Service Providers are planning to adopt base stations with less power and smaller coverage in a more intensive manner. We call such networks multi-tier heterogeneous small cell networks, which put forward more stringent requirements on network security and stability. Self-Organizing Network (SON) is expected to be a potential solution. However, the issue of cell outage compensation (COC) is important for SON. This paper proposes a cell outage compensation mechanism based on an improved particle swarm algorithm (IPSO). Specifically, the neighboring base stations of the failed base station are selected as the compensation base stations according to the topology structure, and then the problem model is constructed to maximize the transmission rate. This model considers the priority of the quality of service (QoS) for different users. It adopts IPSO based on adaptive weights to comprehensively adjust the downtilt, horizontal azimuth, and user power allocation of the base station to ensure the transmission rate. The simulation results show the algorithm converges fast, can quickly approach the target value, and can effectively guarantee the quality of service for users.
引用
收藏
页数:6
相关论文
共 14 条
  • [1] [Anonymous], TR25996 3GPP
  • [2] Bramah EHB, 2016, 2016 CONFERENCE OF BASIC SCIENCES AND ENGINEERING STUDIES (SCGAC), P75, DOI 10.1109/SGCAC.2016.7458009
  • [3] Multi-Objective Optimization in 5G Wireless Networks With Massive MIMO
    Goudos, Sotirios K.
    Diamantoulakis, Panagiotis D.
    Karagiannidis, George K.
    [J]. IEEE COMMUNICATIONS LETTERS, 2018, 22 (11) : 2346 - 2349
  • [4] Guo JL, 2019, INT WIREL COMMUN, P284
  • [5] Challenges in 5G: How to Empower SON with Big Data for Enabling 5G
    Imran, Ali
    Zoha, Ahmed
    Abu-Dayya, Adnan
    [J]. IEEE NETWORK, 2014, 28 (06): : 27 - 33
  • [6] Jiang Z., 2013, NETW OP MAN S APNOMS, P1
  • [7] From Immune Cells to Self-Organizing Ultra-Dense Small Cell Networks
    Klessig, Henrik
    Oehmann, David
    Reppas, Andreas I.
    Hatzikirou, Haralampos
    Abedi, Majid
    Simsek, Meryem
    Fettweis, Gerhard P.
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2016, 34 (04) : 800 - 811
  • [8] Li FQ, 2011, PROCEEDINGS OF 2011 INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY AND APPLICATION, ICCTA2011, P389, DOI 10.1049/cp.2011.0697
  • [9] A Cell Outage Management Framework for Dense Heterogeneous Networks
    Onireti, Oluwakayode
    Zoha, Ahmed
    Moysen, Jessica
    Imran, Ali
    Giupponi, Lorenza
    Imran, Muhammad Ali
    Abu-Dayya, Adnan
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (04) : 2097 - 2113
  • [10] Xiao HY, 2018, 2018 IEEE 29TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC)