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Volume 44 Issue 12
Dec.  2022
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MA Bin, ZHONG Shilin, XIE Xianzhong, CHEN Xin. Vertical Handoff Algorithm Considering Load Balance and User Experience[J]. Journal of Electronics & Information Technology, 2022, 44(12): 4218-4228. doi: 10.11999/JEIT210958
Citation: MA Bin, ZHONG Shilin, XIE Xianzhong, CHEN Xin. Vertical Handoff Algorithm Considering Load Balance and User Experience[J]. Journal of Electronics & Information Technology, 2022, 44(12): 4218-4228. doi: 10.11999/JEIT210958

Vertical Handoff Algorithm Considering Load Balance and User Experience

doi: 10.11999/JEIT210958
Funds:  The Major Project of Science and Technology Research of Chongqing Education Commission (KJZD-M201900602), The Key Project of Science and Technology Research of Chongqing Education Commission (KJZD-M201800603), The Project of Science Research Innovation of Chongqing Graduate Students (CYS21305)
  • Received Date: 2021-09-09
  • Accepted Date: 2021-12-13
  • Rev Recd Date: 2021-12-10
  • Available Online: 2021-12-26
  • Publish Date: 2022-12-16
  • In ultra dense heterogeneous wireless networks, a vertical handoff algorithm considering Load Balancing and User Experience (LBUE) is proposed to solve the problem of network congestion caused by large-scale mobile terminals clustering in short time in urban traffic peak. Firstly, the network environment perception model is introduced to predict the future congestion degree of the network, and a network architecture integrating self-organizing network is proposed to alleviate network congestion. Secondly, the business fitness and negative return factor are defined, and an adaptive handoff decision algorithm based on Rank Sum Ratio(RSR) is proposed to screen out the most satisfactory target network for users in the current environment. Experimental results show that the algorithm can effectively reduce the blocking rate and call drop rate of terminal access network, achieve load balancing between networks and improve user experience.
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  • [1]
    CHAHAL M and HARIT S. Network selection and data dissemination in heterogeneous software-defined vehicular network[J]. Computer Networks, 2019, 161: 32–44. doi: 10.1016/j.comnet.2019.06.008
    [2]
    NDASHIMYE E, RAY S K, SARKAR N I, et al. Vehicle-to-infrastructure communication over multi-tier heterogeneous networks: A survey[J]. Computer Networks, 2017, 112: 144–166. doi: 10.1016/j.comnet.2016.11.008
    [3]
    ROY S D and REDDY S R V. Signal strength ratio based vertical handoff decision algorithms in integrated heterogeneous networks[J]. Wireless Personal Communications, 2014, 77(4): 2565–2585. doi: 10.1007/s11277-014-1655-9
    [4]
    HAIDER A, GONDAL I, and KAMRUZZAMAN J. Dynamic dwell timer for hybrid vertical handover in 4G coupled networks[C]. The 73rd Vehicular Technology Conference, Budapest, Hungary, 2011: 1–5.
    [5]
    KUNARAK S and SULEESATHIRA R. Multi-criteria vertical handoff decision algorithm for overlaid heterogeneous mobile IP networks[J]. Journal of the Franklin Institute, 2020, 357(10): 6321–6351. doi: 10.1016/j.jfranklin.2020.03.025
    [6]
    PALAS R, ISLAM R, ROY P, et al. Multi-criteria handover mobility management in 5G cellular network[J]. Computer Communications, 2021, 174: 81–91. doi: 10.1016/j.comcom.2021.04.020
    [7]
    马彬, 李尚儒, 谢显中. 异构无线网络中基于模糊逻辑的分级垂直切换算法[J]. 电子与信息学报, 2020, 42(3): 629–636. doi: 10.11999/JEIT190190

    MA Bin, LI Shangru, and XIE Xianzhong. A hierarchical vertical handover algorithm based on fuzzy logic in heterogeneous wireless networks[J]. Journal of Electronics &Information Technology, 2020, 42(3): 629–636. doi: 10.11999/JEIT190190
    [8]
    ZHU Anqi, GUO Songtao, LIU Bei, et al. Adaptive multiservice heterogeneous network selection scheme in mobile edge computing[J]. IEEE Internet of Things Journal, 2019, 6(4): 6862–6875. doi: 10.1109/JIOT.2019.2912155
    [9]
    ZINEB A B, AYADI M, and TABBANE S. QoE-based vertical handover decision management for cognitive networks using ANN[C]. The Sixth International Conference on Communications and Networking, Hammamet, Tunisia, 2017: 1–7.
    [10]
    LIANG Gen, YU Hewei, GUO Xiaoxue, et al. Joint access selection and bandwidth allocation algorithm supporting user requirements and preferences in heterogeneous wireless networks[J]. IEEE Access, 2019, 7: 23914–23929. doi: 10.1109/ACCESS.2019.2899405
    [11]
    MOLLEL M S, ABUBAKAR A I, OZTURK M, et al. Intelligent handover decision scheme using double deep reinforcement learning[J]. Physical Communication, 2020, 42: 101133. doi: 10.1016/j.phycom.2020.101133
    [12]
    YANG Feng, WU Wenjun, WANG Xiaoxi, et al. Deep reinforcement learning based handoff algorithm in end-to-end network slicing enabling HetNets[C]. 2021 IEEE Wireless Communications and Networking Conference (WCNC), Nanjing, China, 2021: 1–7.
    [13]
    朱豪, 彭艺, 张申, 等. 基于改进遗传算法的自适应越区切换方案[J]. 吉林大学学报:理学版, 2020, 58(1): 133–139. doi: 10.13413/j.cnki.jdxblxb.2019151

    ZHU Hao, PENG Yi, ZHANG Shen, et al. Adaptive handover scheme based on improved genetic algorithm[J]. Journal of Jilin University:Science Edition, 2020, 58(1): 133–139. doi: 10.13413/j.cnki.jdxblxb.2019151
    [14]
    AI Ning, WU Bin, LI Boyu, et al. 5G heterogeneous network selection and resource allocation optimization based on cuckoo search algorithm[J]. Computer Communications, 2021, 168: 170–177. doi: 10.1016/j.comcom.2020.12.026
    [15]
    ABDULSHAKOOR A I, ANANY M G, and ELMESALAWY M M. Outage-aware matching game approach for cell selection in LTE/WLAN Multi-RAT HetNets[J]. Computer Networks, 2020, 183: 107596. doi: 10.1016/j.comnet.2020.107596
    [16]
    ALHABO M, ZHANG Li, NAWAZ N, et al. Game theoretic handover optimisation for dense small cells heterogeneous networks[J]. IET Communications, 2019, 13(15): 2395–2402. doi: 10.1049/iet-com.2019.0383
    [17]
    WU Xiaoyan and DU Qinghe. Utility-function-based radio-access-technology selection for heterogeneous wireless networks[J]. Computers & Electrical Engineering, 2016, 52: 171–182. doi: 10.1016/j.compeleceng.2015.06.010
    [18]
    HAN Shen. Congestion-aware WiFi offload algorithm for 5G heterogeneous wireless networks[J]. Computer Communications, 2020, 164: 69–76. doi: 10.1016/j.comcom.2020.10.006
    [19]
    FENG Bing, ZHANG Chi, LIU Jianqing, et al. D2D communications-assisted traffic offloading in integrated cellular-WiFi networks[J]. IEEE Internet of Things Journal, 2019, 6(5): 8670–8680. doi: 10.1109/JIOT.2019.2922550
    [20]
    HASAN M and KWON S. Cluster-based load balancing algorithm for ultra-dense heterogeneous networks[J]. IEEE Access, 2019, 8: 2153–2162. doi: 10.1109/ACCESS.2019.2961949
    [21]
    ZHANG Qi, XU Xiaodong, ZHANG Jingxuan, et al. Dynamic load adjustments for small cells in heterogeneous ultra-dense networks[C]. 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea (South), 2020: 1–6.
    [22]
    潘甦, 张磊, 刘胜美. 基于未来负载预测的无线异构网络自适应负载均衡算法[J]. 系统工程与电子技术, 2015, 37(6): 1384–1390. doi: 10.3969/j.issn.1001-506X.2015.06.24

    PAN Su, ZHANG Lei, and LIU Shengmei. Adaptive load balancing algorithm based on future load predicting[J]. Systems Engineering and Electronics, 2015, 37(6): 1384–1390. doi: 10.3969/j.issn.1001-506X.2015.06.24
    [23]
    张振浩, 梁俊, 肖楠, 等. 空天异构网络中基于Q学习的切换判决优化算法[J]. 计算机工程, 2018, 44(5): 296–302,308. doi: 10.19678/j.issn.1000-3428.0047111

    ZHANG Zhenhao, LIANG Jun, XIAO Nan, et al. Handoff decision optimized algorithm based on Q-learning approach for heterogeneous networks in aerospace[J]. Computer Engineering, 2018, 44(5): 296–302,308. doi: 10.19678/j.issn.1000-3428.0047111
    [24]
    WANG Lingxia, YANG Chungang, and HU R Q. Autonomous traffic offloading in heterogeneous ultra-dense networks using machine learning[J]. IEEE Wireless Communications, 2019, 26(4): 102–109. doi: 10.1109/MWC.2019.1800034
    [25]
    肖清华. 基于负载匹配的LTE切换算法[J]. 邮电设计技术, 2017(6): 32–35. doi: 10.12045/j.issn.1007-3043.2017.06.007

    XIAO Qinghua. LTE handover algorithm based on matched cell load[J]. Designing Techniques of Posts and Telecommunications, 2017(6): 32–35. doi: 10.12045/j.issn.1007-3043.2017.06.007
    [26]
    马彬, 毛步绚, 谢显中. 自组织异构网络中降低阻塞的垂直切换算法[J]. 北京邮电大学学报, 2019, 42(2): 19–24. doi: 10.13190/j.jbupt.2018-145

    MA Bin, MAO Buxuan, and XIE Xianzhong. Vertical handoff algorithm for reducing congestion in ad hoc heterogeneous network[J]. Journal of Beijing University of Posts and Telecommunications, 2019, 42(2): 19–24. doi: 10.13190/j.jbupt.2018-145
    [27]
    JANGSHER S and LI V O K. Backhaul resource allocation for existing and newly arrived moving small cells[J]. IEEE Transactions on Vehicular Technology, 2017, 66(4): 3211–3219. doi: 10.1109/TVT.2016.2590502
    [28]
    付学谦, 陈皓勇. 基于加权秩和比法的电能质量综合评估[J]. 电力自动化设备, 2015, 35(1): 128–132. doi: 10.16081/j.issn.1006-6047.2015.01.019

    FU Xueqian and CHEN Haoyong. Comprehensive power quality evaluation based on weighted rank sum ration method[J]. Electric Power Automation Equipment, 2015, 35(1): 128–132. doi: 10.16081/j.issn.1006-6047.2015.01.019
    [29]
    YU Hewei and ZHANG Biao. A heterogeneous network selection algorithm based on network attribute and user preference[J]. Ad Hoc Networks, 2018, 72: 68–80. doi: 10.1016/j.adhoc.2018.01.011
    [30]
    BHOSALE S and DARUWALA R. Multi-criteria vertical handoff decision algorithm using hierarchy modeling and additive weighting in an integrated WiFi/WiMAX/UMTS environment– a case study[J]. KSII Transactions on Internet and Information Systems, 2014, 8(1): 35–57. doi: 10.3837/tiis.2014.01.003
    [31]
    HUANG Zhangpeng, LIU Jing, SHEN Qiang, et al. A threshold-based multi-traffic load balance mechanism in LTE-A networks[C]. 2015 IEEE Wireless Communications and Networking Conference (WCNC), New Orleans, USA, 2015: 1273–1278.
    [32]
    ALJERI N and BOUKERCHE A. Load balancing and QoS-aware network selection scheme in heterogeneous vehicular networks[C]. 2020 IEEE International Conference on Communications (ICC), Dublin, Ireland, 2020: 1–6.
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