User Association Algorithm for Fog Computing Based on Multiple Attribute Decision Making Model

doi:10.13190/j.jbupt.2020-221

Journal of Beijing University of Posts and Telecommunications ›› 2021, Vol. 44 ›› Issue (4): 68-74.doi: 10.13190/j.jbupt.2020-221

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User Association Algorithm for Fog Computing Based on Multiple Attribute Decision Making Model

SHEN Bin, LIU Xiao-xiao, HUANG Xiao-ge

Chongqing Key Laboratory of Mobile Communications, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Received:2020-10-27 Published:2021-10-13

Abstract

Abstract: Fog computing enabled heterogeneous cellular networks suffer from the high complexity issue of user associations. To solve the problem, a user association algorithm based on multi-attribute decision model is proposed. The proposed method adjusts the attribute priority by appropriately selecting key performance indicators (KPI), and designing models and the combination weights. Meanwhile, comprehensive evaluation indicator is designed to jointly optimize the six KPIs. Simulation results show that the proposed method can not only achieve a superior trade-off between quality of experience and system performance, but also effectively reduce the association delay and system energy consumption. Moreover, the porposed method also has advantages in load balancing.

Key words: fog computing, dense heterogeneous cellular network, user association, multiple attribute decision making, trade-off

CLC Number:

TN929.5

SHEN Bin, LIU Xiao-xiao, HUANG Xiao-ge. User Association Algorithm for Fog Computing Based on Multiple Attribute Decision Making Model[J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(4): 68-74.

References

[1] Habibi P, Farhoudi M, Kazemian S, et al. Fog computing:a comprehensive architectural survey[J]. IEEE Access, 2020, 8:69105-69133.
[2] Mouradian C, Naboulsi D, Yangui Sami, et al. A comprehensive survey on fog computing:state-of-the-art and research challenges[J]. IEEE Communications Surveys & Tutorials, 2018, 20(1):416-464.
[3] Ye Qiaoyang, Rong Beiyu, Chen Yudong, et al. User association for load balancing in heterogeneous cellular networks[J]. IEEE Transactions on Wireless Communications, 2013, 12(6):2706-2716.
[4] Shen Kaiming, Yu Wei. Downlink cell association optimization for heterogeneous networks via dual coordinate descent[C]//2013 IEEE International Conference on Acoustics, Speech and Signal Processing. Canada:IEEE Press, 2013:4779-4783.
[5] Prasad N, Arslan M, Rangarajan S. Exploiting cell dormancy and load balancing in LTE HetNets:optimizing the proportional fairness utility[J]. IEEE Transactions on Communications, 2014, 62(10):3706-3722.
[6] 苏恭超, 陈彬, 林晓辉, 等. 异构蜂窝网络中一种基于匈牙利算法的用户关联方法[J]. 电子科技大学学报, 2017, 46(2):346-351. Su Gongchao, Chen Bin, Lin Xiaohui, et al. User association in heterogeneous cellular networks via the Hunga-rian method[J]. Journal of University of Electronic Science and Technology of China, 2017, 46(2):346-351.
[7] Fan Qiang, Ansari N. Towards workload balancing in fog computing empowered IoT[J]. IEEE Transactions on Network Science and Engineering, 2020, 7(1):253-262.
[8] Sudibyo M M N, Aziz N. MIMO neural Wiener based model predictive control (NWMPC) for MTBE reactive distillation using simulated annealing-particle swarm optimization(SA-PSO)[M]//12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering. Amsterdam:Elsevier, 2015:1631-1636.
[9] Chen Yichao, Sun Enchang, Zhang Yanhua. Joint optimization of transmission and processing delay in fog computing access networks[C]//2017 9th International Conference on Advanced Infocomm Technology (ICAIT).[S.l.]:IEEE Press, 2017:155-158.
[10] 陈登昭. 异构蜂窝网络下基站节能技术研究[D]. 吉林:吉林大学, 2016.
[11] Zhang Yazhou, Dong Xinsong, Zhao Yinna. Decentra-lized computation offloading over wireless-powered mobile-edge computing networks[C]//2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS). Dalian:IEEE Press, 2020:137-140.
[12] Tian Guangdong, Zhang Honghao, Zhou Mengchu, et al. AHP, gray correlation, and TOPSIS combined approach to green performance evaluation of design alternatives[J]. IEEE Transactions on Systems, Man, and Cybernetics:Systems, 2018, 48(7):1093-1105.
[13] Almutairi A F, Landolsi M A, Al-Hawaj A O. Weighting selection in GRA-based MADM for vertical handover in wireless networks[C]//2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation (UKSim). Cambridge:IEEE, 2016:331-336.
[14] 3GPP. 3GPP TS 36. 814-2012. Further advancements for evolved universal terrestrial radio access (E-UTRA) physical layer aspects(Release 9)[S]. Valbonne:3rd Generation Partnership Project Technical Specification Group Radio Access Network, 2012.

User Association Algorithm for Fog Computing Based on Multiple Attribute Decision Making Model

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