一种基于移动趋势量化的多属性垂直切换判决算法

潘甦; 梁宇; 刘胜美

doi:10.11999/JEIT150443

一种基于移动趋势量化的多属性垂直切换判决算法

doi: 10.11999/JEIT150443

2.
(南京邮电大学宽带无线通信与传感网技术教育部重点实验室南京 210003) ②(东南大学移动通信国家重点实验室南京 210096)

基金项目:

国家自然科学基金(61271235)，东南大学国家移动通信重点实验室开放基金(2011D07)，江苏高校优势学科建设工程资助项目信息与通信工程

计量
- 文章访问数: 1280
- HTML全文浏览量: 123
- PDF下载量: 345
- 被引次数: 0
出版历程
- 收稿日期: 2015-04-20
- 修回日期: 2015-10-19
- 刊出日期: 2016-02-19

A Multi-attribute Vertical Handoff Decision Algorithm Based on Motion Trend Quantification

2.
(Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)

Funds:

The National Natural Science Foundation of China (61271235), Open Research Found of the National Mobile Communications Research Laboratory, Southeast University (2011D07), Priority Academic Program Development of Jiangsu Higher Education Institutions--Information and Communication Engineering

摘要

摘要: 由于对终端移动趋势的不明确，基站容易盲目发起切换，并导致较高的切换失败率。该文在LTE-WiMAX网络构成的异构无线网络环境下对现有的垂直切换算法进行了优化。该优化算法考虑了终端移动趋势，利用趋势量化参数来推断终端最终的目标区域，解决已有判决算法中存在的不必要切换过多的问题，提高切换成功率。在衰落信道下的计算机仿真结果表明，该优化算法可以减小切换中的切换失败率，从而提高网络的切换性能。
- 异构网络 /
- 垂直切换 /
- 多属性判决 /
- 移动趋势
Abstract: The base station will initiate handoff blindly and cause high failure rate of handoff if the knowledge of the terminal,s motion trend is absent. An optimized algorithm is proposed to optmize existing vertical handoff algorithm in the LTE-WiMAX heterogeneous wireless network system. The proposed algorithm uses the motion trend quantification to estimate goal cells and restrict unnecessary handoff so as to increase success rate of handoff. The computer simulation results in fading channel show that the optimized algorithm can reduce the failure rate of handoff during the handoff process and enhance the handoff performance of network.
- Heterogeneous network /
- Vertical handoff /
- Multi-attribute decision /
- Motion trend

HTML全文

参考文献(28)

AHMED A, BOULAHIA L M, and GAITI D. Enabling vertical handover decisions in heterogeneous wireless networks: A state-of-the-art and a classification[J]. IEEE Communications Surveys Tutorials, 2014, 16(2): 776-811.

LIM J and HONG D. Mobility and handover management for heterogeneous networks in LTE-advanced[J]. Wireless Personal Communications, 2013, 72(4): 2901-2912.

KIM Y, KO H, PACK S, et al. Mobility-aware call admission control algorithm with handoff queue in mobile hotspots[J]. IEEE Transactions on Vehicular Technology, 2013, 62(8): 3903-3912.

WANG S, FAN C, HSU C H, et al. A vertical handoff method via self-selection decision tree for internet of vehicles[J]. IEEE Systems Journal, 2014. doi: 10.1109/JSYST.2014.2306210.

刘胜美, 孟庆民, 潘甦, 等. 异构无线网络中基于SINR和层次分析法的SAW垂直切换算法研究[J]. 电子与信息学报, 2011, 33(1): 235-239. doi: 10.3724/SP.J.1146.2010.00154.

LIU S M, MENG Q M, PAN S, et al. A simple additive weighting vertical handoff algorithm based on SINR and AHP for heterogeneous wireless networks[J]. Journal of Electronics Information Technology, 2011, 33(1): 235-239. doi: 10.3724/SP.J.1146.2010.00154.

ANUPAMA K S S, GOWRI S S, RAO B P, et al. An intelligent vertical handoff decision algorithm for geterogeneous wireless networks[C]. ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India-Vol. I, Visakhapatnam, 2014: 331-339.

YANG P, SUN Y, LIU C, et al. A novel fuzzy logic based vertical handoff decision algorithm for heterogeneous wireless networks[C]. 2013 16th IEEE International Symposium on Wireless Personal Multimedia Communications (WPMC), Atlantic City, NJ, 2013: 1-5.

BO S, LIN L, and FENG D. The multi-attribute vertical handoff algorithm based on node mobility[C]. 2014 5th IEEE International Conference on Software Engineering and Service Science (ICSESS), Beijing, 2014: 1146-1149.

JOHNSON S B, NATH S, and VELMURUGAN T. An optimized algorithm for vertical handoff in heterogeneous wireless networks[C]. 2013 IEEE Conference on Information Communication Technologies (ICT), Jeju Island, 2013: 1206-1210.

YANG T and RONG P. A fuzzy logic vertical handoff algorithm with motion trend decision[C]. 2011 6th IEEE International Forum on Strategic Technology (IFOST), Harbin, China, 2011, 2: 1280-1283.

LI Bin and LIU Shengmei. Vertical handoff algorithm based on mobility prediction[J]. Communication and Network, 2013, 39(1): 93-95.

GE Kun, JI Hong, and LI Xi. A speed sensitive vertical handoff algorithm based on fuzzy control[C]. 5th IEEE International Conference?on Wireless Communications, Networking and Mobile Computing, 2009. WiCom,09, Beijing, 2009: 1-4.

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.

LEE S K, SRIRAM K, KIM K, et al. Vertical handoff decision algorithms for providing optimized performance in heterogeneous wireless networks[J]. IEEE Transactions on Vehicular Technology, 2009, 58(2): 865-881.

OMHENI N, ZARAI F, OBAIDAT M S, et al. A novel vertical handoff decision making algorithm across Heterogeneous Wireless Networks[C]. 2014 IEEE International Conference on Computer, Information and Telecommunication Systems (CITS), 2014: 1-6.

DENG S, YI X, DENG M, et al. Reduced-guard-interval OFDM using digital sub-band-demultiplexing[J]. IEEE Photonics Technology Letters, 2013, 25(22): 2174-2177.

GAO X, WANG X, ZOU Y, et al. An efficient OFDM with adaptive guard interval for amplify and forward relay systems[C]. 2013 IEEE Vehicular Technology Conference (VTC Fall), 7. Las Vegas, NV, 2013: 1-5.

杨赞, 赵辉, 赵玉萍. 基于循环平稳性的异构网OFDM系统窄带干扰消除[J]. 电子与信息学报, 2012, 34(9): 2208-2212. doi: 10.3724/SP.J.1146.2012.00144.

YANG Z, ZHAO H, and ZHAO Y P. Cyclostationarity-based narrowband interference suppression for OFDM systems in heterogeneous networks[J]. Journal of Electronics Information Technology, 2012, 34(9): 2208-2212. doi: 10.3724/SP.J.1146.2012.00144.

HAMAYDEH N, KHALIL A, BALI S, et al. The impact of mobile speed on vertical handover process between WiFi and WiMAX networks[C]. 2013 IEEE International RF and Microwave Conference (RFM), Penang, 2013: 138-143.

MENG J and CHEN J. Doppler spread estimation for mobile OFDM systems[J]. Electronic Science and Technology, 2011, 24(6): 1-3.

SINGHAPAN A, NAITO K, MORI K, et al. Doppler frequency spread estimation for OFDM systems in time-varying fading channel[C]. 2012 9th IEEE International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI- CON), Phetchaburi, 2012: 1-4.

NISHAD P K and SINGH P. Carrier frequency offset estimation in OFDM systems[C]. 2013 IEEE Conference on Information Communication Technologies (ICT), Jeju Island, 2013: 885-889.

LIN J, YE F, and REN J. Joint estimation for carrier frequency offset and sampling frequency offset in OFDM systems[C]. 2014 12th IEEE International Conference on Solid-state and Integrated Circuit Technology (ICSICT), Guilin, 2014: 1-3.

GE X, TU S, HAN T, et al. Energy efficiency of small cell backhaul networks based on Gauss-Markov mobile models[J]. Networks, 2014, 4(2): 158-167.

BIOMO J D M M, KUNZ T, and St-Hilaire M. An enhanced Gauss-Markov mobility model for simulations of unmanned aerial ad hoc networks[C]. Wireless and Mobile Networking Conference (WMNC), Vilamoura, 2014: 1-8.

施引文献

资源附件(0)

访问统计