基于双向匹配模型的异构网络垂直切换算法

马彬; 邓红; 谢显中

doi:10.11999/JEIT170300

基于双向匹配模型的异构网络垂直切换算法

doi: 10.11999/JEIT170300

基金项目:

国家自然科学基金(61471076, 61601070)，重庆市基础与前沿研究计划(cstc2015jcyjA40047, cstc2016jcyjA0455)，重庆邮电大学博士启动基金(A2014-10, A2014-105, A2015-16)

计量
- 文章访问数: 1168
- HTML全文浏览量: 114
- PDF下载量: 146
- 被引次数: 0
出版历程
- 收稿日期: 2017-04-05
- 修回日期: 2017-09-13
- 刊出日期: 2018-02-19

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

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)

摘要

摘要: 针对当前垂直切换判决算法存在的单一性，即切换判决时以用户或网络单方面为中心，没有充分考虑两者对切换判决的综合影响，导致垂直切换性能不佳的问题，该文提出一种基于双向匹配模型的垂直切换算法。该算法的主要思想是：首先分别以用户和网络为中心，设计各自的评估模型，用于评估双方对彼此的偏好顺序，并建立相应的排序值矩阵；其次利用排序值信息，基于一对多双向匹配模型对用户侧和网络侧的双向匹配行为进行建模和求解，以获得最优匹配解；最后根据最优匹配结果，进行垂直切换。仿真表明，该文设计的评估模型是合理的，并且所提出的算法能较好地兼顾用户侧的高性价比需求和网络侧的低阻塞率需求。
- 异构无线网络 /
- 垂直切换 /
- 双向匹配 /
- 排序值
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

HTML全文

参考文献(23)

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.

施引文献

资源附件(0)

访问统计