Multi-Attribute Synergetic Decision-Making Algorithm for 5G Integrated Heterogeneous Wireless Network

被引:0
作者
Wu X.
Feng C.
Yang Y.
Li S.
机构
来源
Progress In Electromagnetics Research B | 2023年 / 103卷
关键词
This work was supported by the Scientific Research Climbing Project of Xiamen University of Technology (Grant No. XPDKT19006); High-level Talent Project of Xiamen University of Technology (Grant No. YKJ20013R; and No. YKJ22030R); Natural Science Foundation of Fujian Province (Grant No. 2022J011276); Education and Scientific Research of Young Teacher of Fujian province (Grant No. JAT190677; No; JAT200471; and No. JAT200479); and Postgraduate Science and Technology Innovation Project of Xiamen University of Technology (Grant No. YKJCX2021085 and No. YKJCX2022081);
D O I
10.2528/PIERB23072404
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学科分类号
摘要
The next-generation communication network will be primarily based on the 5G networks, with multiple wireless Radio Access Technologies (RATs) coexisting. The factors influencing user experience are complex and diverse, making it difficult for any single wireless technology to meet all user needs. Most existing network selection algorithms focus on either the user side or the network side, leading to the problem of network load imbalance. Therefore, this paper proposes a MultiAttribute Synergetic Decision (MASD) algorithm for 5G integrated heterogeneous wireless network. First, implement the pre-filtering of the candidate network set. Taking into account the diversity of user services, this algorithm focuses on Quality of Service (QoS), user preferences, and network load. Analytic Hierarchy Process (AHP) and Standard Deviation (SD) are used to calculate the weights of each attribute. Based on the synergetic theory, the entropy value of the candidate network system is obtained. Simulation results demonstrate that this algorithm effectively coordinates various factors to select the most suitable network for access. It reduces unnecessary handovers, avoids the ping-pong effect, and achieves load balancing to a certain extent. © (2023), (Electromagnetics Academy). All Rights Reserved.
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页码:55 / 73
页数:18
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共 22 条
  • [1] Zheng W., Zhang Z., He Z., A network accessing algorithm for 5G integrated networks, Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), 28, 5, pp. 694-700, (2016)
  • [2] Yu H., Zhang B., A hybrid MADM algorithm based on attribute weight and utility value for heterogeneous network selection, Journal of Network and Systems Management, 27, pp. 756-783, (2019)
  • [3] Goyal P., Lobiyal D., Katti C., Dynamic user preference based network selection for vertical handoff in heterogeneous wireless networks, Wireless Personal Communications, 98, pp. 725-742, (2018)
  • [4] Zhu A., Guo S. T., Liu B., Ma M., Yao J., Su X., Adaptive multiservice heterogeneous network selection scheme in mobile edge computing, IEEE Internet of Things Journal, 6, 4, pp. 6862-6875, (2019)
  • [5] Guo X., Omar M., Zaini K., Liang G., Lin M., Gan Z., Multi-attribute access selection algorithm for heterogeneous wireless networks based on fuzzy network attribute values, IEEE Access, 10, pp. 74071-74081, (2022)
  • [6] Chen J., Wang Y., Li Y., Wang E., QoE-aware intelligent vertical handoff scheme over heterogeneous wireless access networks, IEEE Access, 6, pp. 38285-38293, (2018)
  • [7] Zhong Y., Wang H., Lv H., A cognitive wireless networks access selection algorithm based on MADM, Ad Hoc Networks, 109, (2020)
  • [8] Yu H., Zhang B., A heterogeneous network selection algorithm based on network attribute and user preference, Ad Hoc Networks, 72, pp. 68-80, (2018)
  • [9] Sadik M., Akkari N., Aldabbagh G., SDN-based handover scheme for multi-tier LTE/Femto and D2D networks, Computer Networks, 142, pp. 142-153, (2018)
  • [10] Song X., Liu W., Zhang M., Liu F., A network selection algorithm based on FAHP/GRA in heterogeneous wireless networks, 2016 2nd IEEE International Conference on Computer and Communications (ICCC), pp. 1445-1449, (2016)