基于认知自选择决策树的垂直切换方法研究

doi:10.3969/j.issn.1000-436x.2013.11.009

Abstract

Abstract:

In heterogeneous wireless network environments, users need to access to the internet anytime, anywhere, even in a high-speed moving process. However, in the vertical handoff process, the preferences of different user and the unsta-ble network status after handoff cannot meet the switching requirement of users. So,a vertical handoff method based on cognitive self-selection decision tree was proposed. Firstly, according to the signal strength, transmission rate, bit error rate, blocking probability and movement trend, the respective handoff probability distribution of them was established and the decisions through the self-selection decision tree was made. Then, a method of feedback cognitive decision in line with the feedback of services and movements on terminals was proposed. Simulation results show that the proposed me-thod can not only ensure the vertical handoff quality of high-speed moving terminals in heterogeneous wireless networks, but also reduce unnecessary handoff and ensure the network update rate.

Key words: heterogeneous wireless network, vertical handoff, decision tree, feedback cognitive

Cun-qun FAN,Shang-guang WANG,Qi-bo SUN,Hua ZOU,Fang-chun YANG. Vertical handoff research based on cognitive self-selection decision tree[J]. Journal on Communications, 2013, 34(11): 71-80.

Figures/Tables 9

References 7

[8]	GAMBINI J , SIMEONE O , BAN-NESS Y , et al. Packet-wise vertical handover for unlicensed multi-standard spectrum access with cognitive radios[J]. IEEE Transactions on Wireless Communications, 2008,7 (12): 5172-5176.
[9]	苏伟，刘琪，袁坚等. 基于终端移动与业务到达认知的自适应无线接入控制机制[J]. 电子学报, 2011,39 (9): 2148-2153. SU W , LIU Q , YUAN J , et al. Adaptive radio access control scheme based on terminal mobility and service arriving cognitn[J]. Acta Electronica Sinica, 2011,39 (9): 2148-2153.
[10]	杨双懋，郭伟，唐伟 . 认知无线网络中基于时间序列预测的冲突分解算法[J]. 通信学报, 2011,32 (11): 51-58. YANG S M , GUO W , TANG W . Collision resolution algorithm based on time-series forecasting for cognitive wireless networks[J]. Journal on Communications, 2011,32 (11): 51-58.
[11]	SOCHELEAU F X , HOUCKE S , CIBLAT P , et al. Cognitive OFDM system detection using pilot tones second and third-order cyclostatio-narity[J]. Signal Processing, 2011,91 (2): 252-268.
[12]	李钊，李建东，肖丽媛 . 认知MIMO系统基于授权通信模式信息的空频域机会接入[J]. 通信学报, 2012,33 (1): 38-44. LI Z , LI J D , XIAO L Y . Spatio-frequency domain opportunistic access in CR-MIMO system based on primary transmission mode informa-tion[J]. Journal on Communications, 2012,33 (1): 38-44.
[13]	CHANDY B , PALACIOS M . Open closed and mixed networks o queues with different classes of customers[J]. Journal of the ACM, 1975,22 (2): 248-260.
[14]	李常茗，李承恕 . 一种异构无线通信系统垂直切换分析方法[J]. 铁道学报, 2009,31 (5): 118-124. LI C M , LI C S . Vertical handover of heterogeneous wireless commu-nications system[J]. Journal of the China Railway Society, 2009,31 (5): 118-124.
[15]	NAVARRO S , WONG W S . Comparison between vertical hando f decision algorithms for heterogeneous wireless networks[A]. Vehicular Technology Conference (VTC 2006-Spring) IEEE 63rd[C]. Melbourne, 2006.947-951.
[1]	PANDE M , MAKELA J , MAHONEN P . Optimization scheme for mobile users performing vertical handoffs between IEEE 802.11 and GPRS/EDGE networks[A]. Proc GLOBECOM[C]. San Antonio, USA, 2001.3439-3443.
[2]	BUDDHIKOT M , CHANDRANMENON G , HAN S , et al. Integration of 802.11 and third-generation wireless data networks[A]. INFOCOM 2003[C]. San Francisco, USA, 2003.503-512.
[3]	LIU M , LI Z C . Performance evaluation of vertical handoff decision algorithms in heterogeneous wireless networks[A]. Proc of GLOBE-COM[C]. San Francisco, USA, 2006.1-5.
[4]	MA D , MA M D . A QoS-based vertical handoff scheme for interwork-ing of WLAN and WiMAX[A]. Proc of GLOBECOM[C]. Honolulu, USA, 2009.1-6.
[5]	SHAFIEE K , ATTAR A , LEUNG V . Optimal distributed vertical handoff strategies in vehicular heterogeneous networks[J]. IEEE Jour-nal on Selected Areas in Communications, 2011,29 (3): 534-544.
[6]	AKYILDIZ I F , LEE W Y , VURAN M , et al. Next generation/dynamic spectrum access/cognitive radio wireless networks: as vey[J]. Com-puter Networks, 2006,50 (13): 2127-2159.
[7]	QUAN Z , CUI S X G , SAYED A H , et al. Optimal linear cooperation for spectrum sensing in cognitive radio networks[J]. IEEE urnal of Se-lected Topics in Signal Processing, 2008,2 (1): 28-40.

Metrics

Recommended 0

No Suggested Reading articles found!

次数		模式
次数	持续优先	带宽优先	费用优先	业务优先
1	7 600 m处由3G cellular 1切换到WiMAX1	7 600 m处由3G cellular 1切换到WiMAX1	7 600 m处由3G cellular 1切换到WiMAX1	7 600 m处由3G cellular 1切换到WiMAX1
2	12 425 m处由WiMAX1切换到3G cellular 1	12 400 m处由WiMAX1切换到3G cellular 1	12 400 m处由WiMAX1切换到3G cellular 1	9 025 m处由WiMAX1切换到3G cellular 1
3	15 100 m处由3G cellular 1切换到WiMAX2	15 100 m处由3G cellular 1切换到WiMAX2	15 100 m处由3G cellular 1切换到WiMAX2	11 100 m处由3G cellular 1切换到WiMAX1
4	24 800 m处由WiMAX2切换到WiMAX4	24 400 m处由WiMAX2切换到WiMAX3	24 200 m处由WiMAX2切换到WiMAX3	12 300 m处由WiMAX1切换到3G cellular 1
5	32 100 m处由WiMAX4切换到WAVE	26 700 m处由WiMAX3切换到WiMAX4	26 700 m处由WiMAX3切换到WiMAX4	15 100 m处由3G cellular 1切换到WiMAX2
6	——	31 600 m处由WiMAX4切换到WAVE	31 600 m处由WiMAX4切换到WAVE	24 200 m处由WiMAX2切换到WiMAX3
7	——	——	——	26 800 m处由WiMAX3切换到WiMAX4
8	——	——	——	31 600 m处由WiMAX4切换到WAVE

Vertical handoff research based on cognitive self-selection decision tree

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 7

Related Articles 15

Metrics

Recommended 0

[1]	Lichuan MA, Jiayi PENG, Qingqi PEI, Haojin ZHU. Efficient privacy-preserving decision tree classification protocol [J]. Journal on Communications, 2021, 42(8): 80-89.
[2]	Sheng GAO, Kang XIANG, Youliang TIAN, Weijie TAN, Tao FENG, Xiaoxue WU. BCP-based joint delegation learning model and protocol [J]. Journal on Communications, 2021, 42(5): 137-148.
[3]	Xiaorong ZHU,Peipei ZHANG. Fault detection and diagnosis method for heterogeneous wireless network based on GAN [J]. Journal on Communications, 2020, 41(8): 110-119.
[4]	Zhihong QIAN, Yinuo FENG, Jiani SUN, Xue WANG. Access selection algorithm for heterogeneous wireless network based on DA optimized fuzzy neural network [J]. Journal on Communications, 2020, 41(12): 118-127.
[5]	Xiaoqing DONG,Lianglun CHENG,Gengzhong ZHENG,Tao WANG. Spectrum resource allocation method of maximizing transmission rate in cognitive heterogeneous wireless networks [J]. Journal on Communications, 2019, 40(9): 124-135.
[6]	Yongjun XU,Yuan HU,Guoquan LI,Jinzhao LIN,Qianbin CHEN. Robust resource allocation algorithm for heterogeneous wireless networkwith SWIPT [J]. Journal on Communications, 2019, 40(7): 186-196.
[7]	Yu-wei WANG,Min LIU,Bing-yi FANG. Survey on vertical handoff in heterogeneous wireless networks [J]. Journal on Communications, 2015, 36(Z1): 224-234.
[8]	Bai DU,Hong-yan LI,Yan LONG. Network selection algorithm in heterogeneous wireless networks to minimize the maximum residual service time [J]. Journal on Communications, 2015, 36(8): 104-109.
[9]	Li-nan CHEN,Yang LIU,Yan MA,Xiao-hong HUANG,Qing-cong ZHAO,Wei WEI. Efficent-cutting packet classification algorithm based on the statistical decision tree [J]. Journal on Communications, 2014, 35(Z1): 58-64.
[10]	. Efficent-cutting packet classification algorithm based on the statistical decision tree [J]. Journal on Communications, 2014, 35(Z1): 12-64.
[11]	Gong-ye REN,Ji-hong ZHAO,Hua QU. Vertical handoff decision algorithm for cooperation of multi-terminal based on fuzzy logic terminal [J]. Journal on Communications, 2014, 35(9): 67-78.
[12]	. Dynamic bandwidth allocation algorithm based on transmission rate adaptation [J]. Journal on Communications, 2014, 35(5): 4-32.
[13]	Geng Chen,Wei-wei XIA,Lian-feng SHEN. Dynamic bandwidth allocation algorithm based on transmission rate adaptation [J]. Journal on Communications, 2014, 35(5): 25-32.
[14]	Geng CHEN,Wei-wei XIA,Lian-feng SHEN. Adaptive bandwidth allocation algorithm based on the multi-threshold reservation mechanism [J]. Journal on Communications, 2014, 35(12): 78-88.
[15]	. Adaptive bandwidth allocation algorithm based on the multi-threshold reservation mechanism [J]. Journal on Communications, 2014, 35(12): 10-88.