Two-sided Matching Model Based Vertical Handover Algorithm in Heterogeneous Wireless Networks

MA Bin; DENG Hong; XIE Xianzhong

doi:10.11999/JEIT170300

Volume 40 Issue 2

Feb. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(2): 421-429

MA Bin, DENG Hong, XIE Xianzhong. Two-sided Matching Model Based Vertical Handover Algorithm in Heterogeneous Wireless Networks[J]. Journal of Electronics & Information Technology, 2018, 40(2): 421-429. doi: 10.11999/JEIT170300

Citation:

MA Bin, DENG Hong, XIE Xianzhong. Two-sided Matching Model Based Vertical Handover Algorithm in Heterogeneous Wireless Networks[J]. Journal of Electronics & Information Technology, 2018, 40(2): 421-429. doi: 10.11999/JEIT170300

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Two-sided Matching Model Based Vertical Handover Algorithm in Heterogeneous Wireless Networks

doi: 10.11999/JEIT170300

Funds:

The National Natural Science Foundation of China(61471076, 61601070), The Foundation and Advanced Research Program of Chongqing (cstc2015jcyjA40047, cstc2016jcyj A0455), The Doctoral Start-up Fund of Chongqing University of Posts and Telecommunications (A2014-10, A2014-105, A2015-16)

Received Date: 2017-04-05
Rev Recd Date: 2017-09-13
Publish Date: 2018-02-19

Abstract

Abstract

Most of the existing vertical handover algorithms are only based on user centric or network centric, which do not fully consider the common impact of the two sides on the handover decision. In order to solve this problem, a two-sided matching model based vertical handover algorithm in heterogeneous wireless networks is proposed. The handover performance is improved from the following aspects: first, two evaluation models of user centered and network centered are respectively proposed based on quality of service revenue and the blocking rate. And the ranking value of the two sides is evaluated further. Then, based on the ranking value, a one-to-many two-sided matching model is used to model the two-sided matching behavior of users and networks. In this way, users can access suitable networks. Simulation results show that the proposed evaluation models are in accordance with the practical network scenario, and the proposed algorithm can better balance the demand of users and networks.
- Heterogeneous wireless networks,
- Vertical handover,
- Two-sided matching,
- Ranking value

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References(23)

References

HAIDER A, GONDAL I, and KAMRUZZAMAN J. Dynamic dwell timer for hybrid vertical handover in 4G coupled networks[C]. 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring), Yokohama, 2011: 1-5. doi: 10.1109/VETECS.2011.5956636.

GOUDARZI S, WAN H H, ANISI M H, et al. MDP-based network selection scheme by genetic algorithm and simulated annealing for vertical-handover in heterogeneous wireless networks[J]. Wireless Personal Communications, 2017, 92(2): 399-436. doi: 10.1007/s11277-016-3549-5.

WANG L S and KUO G S. Mathematical modeling for network selection in heterogeneous wireless networksA tutorial[J]. IEEE Communications Surveys and Tutorials, 2013, 15(1): 271-292. doi: 10.1109/SURV.2012.010912.00044.

VASU K, MAHESHWARI S, MAHAPATRA S, et al. QoS-aware fuzzy rule-based vertical handoff decision algorithm incorporating a new evaluation model for wireless heterogeneous networks[J]. EURASIP Journal on Wireless Communications and Networking, 2012, 2012: 322. doi: 10.1186/1687-1499-2012-322.

WU J S and HUEY R S. Improved joint radio resource management usage grey fuzzy control in heterogeneous wireless networks[J]. Journal of Internet Technology, 2015, 16(5): 777-788. doi: 10.6138/JIT.2015.16.5.20130319.

ALOTAIBI N M and ALWAKEEL S S. A neural network based handover management strategy for heterogeneous networks[C]. 2015 IEEE 14th International Conference on Machine Learning and Applications, Miami, FL, 2015: 1210-1214. doi: 10.1109/ICMLA.2015.65.

NING Z L, SONGQ Y, and LIUY J. Markov-based vertical handoff decision algorithms in heterogeneous wireless networks[J]. Computers and Electrical Engineering, 2014, 40(2): 456-472. doi: 10.1016/j.compeleceng.2013.10.012.

YU C H, MA D, WANG F, et al. A novel vertical handoff algorithm based on differential pre-decision and improved utility-function method[J]. International Journal of Future Generation Communication and Networking, 2016, 9(3): 87-96. doi: 10.14257/ijfgcn.2016.9.3.09.

马彬, 谢显中, 廖晓峰. 车辆异构网络中预测垂直切换算法[J]. 电子与信息学报, 2015, 37(4): 874-880. doi: 10.11999/ JEIT140845.

MA B, XIE X Z, and LIAO X F. Prediction vertical handoff algorithm in vehicle heterogeneous network[J]. Journal of Electronics Information Technology, 2015, 37(4): 874-880. doi: 10.11999/JEIT140845.

KONKA J. Auction-based network selection in a market- based framework for trading wireless communication services [J]. IEEE Transactions on Vehicular Technology, 2014, 63(3): 1365-1377. doi: 10.1109/TVT.2013.2280344.

KHAN M S Z, ALAM S, and KHAN M R H. A network selection mechanism for fourth generation communication networks[J]. Journal of Advances in Information Technology, 2010, 1(4): 189-196. doi: 10.4304/jait.1.4.189-196.

ANTONIOU J, KOUKOUTSIDIS I, JAHO E, et al. Access network synthesis game in next generation networks[J]. Elsevier Computer Networks, 2009, 53(15): 2716-2726. doi: 10.1016/j.comnet.2009.06.006.

ILIEV A, KYURKCHIEV N, and MARKOV S. On the approximation of the step function by some sigmoid functions[J]. Mathematics and Computers in Simulation, 2017, 133(4): 223-234. doi: 10.1016/j.matcom.2015.11.005.

BHOSALE S and DARUWALA R. Multi-criteria vertical handoff decision algorithm using analytic hierarchy modeling and simple additive weighting in an integrated WLAN/ WiMAX/UMTS environmentA case study[J]. KSII Transactions on Internet and Information Systems, 2014, 8(1): 35-57. doi: 10.3837/tiis.2014.01.003.

LI Q, JIE L, and CORINNE T. A user centered multi- objective handoff scheme for hybrid 5G environments[J]. IEEE Transactions on Emerging Topics in Computing, 2017, 5(3): 380-390. doi: 10.1109/TETC.2016.2551042.

乐琦, 樊治平. 基于不完全序值信息的双边匹配决策方法[J]. 管理科学学报, 2015, 18(2): 23-35.

YUE Q and FAN Z P. Decision method for two-sided matching based on incomplete ordinal number information[J]. Journal of Management Sciences in China, 2015, 18(2): 23-35.

REIMANN O, SCHUMACHER C, and VETSCHERA R. How well does the OWA operator represent real preferences [J]. European Journal of Operational Research, 2017, 258(3): 993-1003. doi: 10.1016/j.ejor.2016.09.037.

BORRERO J S, GILLEN C, and PROKOPYEV O A. A simple technique to improve linearized reformulations of fractional (hyperbolic) 0-1 programming problems[J]. Operations Research Letters, 2016, 44(4): 479-486. doi: 10.1016/j.orl.2016.03.015.

SHEN W and ZENG Q A. Cost-function-based network selection strategy in integrated wireless and mobile networks [J]. IEEE Transactions on Vehicular Technology, 2008, 57(6): 3778-3788. doi: 10.1109/TVT.2008.917257.

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 S, ZHANG L, and LIU S M. 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.

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