Abstract
Next generation communication networks will be a heterogeneous wireless networks (HetWN) based on 5G. Studying the reasonable allocation of new traffics under the new scenario of 5G is helpful to make full use of the network resources. In this paper, we propose a HetWN selection algorithm based on bipartite graph multiple matching. Firstly, we use the AHP-GRA method to calculate the user’s preference for network and the network’s preference for user. After these two preferences are traded off as the weights of edges in bipartite graph, we can extend the bipartite graph to a bipartite graph network. The minimum cost maximum flow algorithm is used to obtain the optimal matching result. Simulations show that our scheme can balance the traffic dynamically. And it is a tradeoff between user side decision and network side decision.
Supported by the National S&T Major Project (No.2018ZX03001011), Science and Technology Program of Beijing (No.D171100006317002) and the Ministry of Education and China Mobile Joint Scientific Research Fund (Grant No.MCM20160105)
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Sgora, A., Vergados, D.D., Chatzimisios, P.: An access network selection algorithm for heterogeneous wireless environments. In: The IEEE symposium on Computers and Communications, pp. 890–892. Riccione, Italy, 22 June 2010
Liu, B., Tian, H., Wang, B.: AHP and game theory based approach for network selection in heterogeneous wireless networks. In: 2014 IEEE 11th Annual IEEE Consumer Communications and Networking Conference (CCNC), pp. 501–506. Las Vegas, USA, 10 Jan 2014
Preethi, G.A., Chandrasekar, C.: A network selection algorithm based on AHP-OWA methods. In: 6th Joint IFIP Wireless and Mobile Networking Conference (WMNC), pp. 1–4. Dubai, United Arab Emirates, 23 April 2013
Zhang, P., Zhou, W., Xie, B., Song, J.: A novel network selection mechanism in an integrated WLAN and UMTS environment using AHP and modified GRA. In: 2010 2nd IEEE International Conference on Networking Infrastructure and Digital Content, pp. 1–6. Beijing, China, 24 Sept 2010
Goyal, R.K., Kaushal, S.: Effect of utility based functions on fuzzy-AHP based network selection in heterogeneous wireless networks. In: 2015 2nd International Conference on Recent Advance in Engineering and Computational Sciences (RAECS), pp. 1–5. Chandigarh, India, 21 Dec 2015
Brajkovic, E., Sjekavica, T., Volaric, T.: Optimal wireless network selection following students online habits using fuzzy AHP and TOPSIS methods. In: 2015 International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 397–402. Dubrovnik, Croatia, 24 Aug 2015
Cui, Y., Xu, Y., Xu, R., Sha, X.: A heterogenous wireless network selection algorithm based on non-cooperative game theory. In: 2011 6th International ICST Conference Communications and Networking in China (CHINACOM), pp. 720–724. Harbin, China, 17 Aug 2011
Niyato, Dusit, Hossain, Ekram: Dynamics of network selection in heterogeneous wireless networks: an evolutionary game approach. IEEE Trans. Veh. Technol. 58(4), 2008–2017 (2009)
Zhu, K., Niyato, D., Wang, P.: Network selection in heterogeneous wireless networks: evolution with incomplete information. In: 2010 IEEE Wireless Communications and Networking Conference, pp. 1–6. Sydney, NSW, Australia, 18 April 2010
Xiulan, Yu., Zeng, Cheng: Matching game network selection algorithm based on TOPSIS. J. Chongqing Univ. Post Telecommun. (Natural Science Edition) 28(4), 451–455 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Wang, X., Su, X., Liu, B. (2019). HetWN Selection Scheme Based on Bipartite Graph Multiple Matching. In: Liu, X., Cheng, D., Jinfeng, L. (eds) Communications and Networking. ChinaCom 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-030-06161-6_58
Download citation
DOI: https://doi.org/10.1007/978-3-030-06161-6_58
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-06160-9
Online ISBN: 978-3-030-06161-6
eBook Packages: Computer ScienceComputer Science (R0)