Dense small cell clustering based on undirected weighted graph for local mobility management

doi:10.1016/S1005-8885(16)60055-9

JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM ›› 2016, Vol. 23 ›› Issue (5): 32-39.doi: 10.1016/S1005-8885(16)60055-9

• Wireless • Previous Articles Next Articles

Dense small cell clustering based on undirected weighted graph for local mobility management

Li Yingying, Ma Zhonggui, Liu Liyu, Yan Wenbo

Received:2016-06-02 Revised:2016-09-28 Online:2016-10-30 Published:2016-10-26
Contact: Zhong-Gui MA E-mail:zhongguima@ustb.edu.cn
Supported by:
the National Natural Science Foundation of China (61572074), the Funding Project for Beijing Excellent Talents Training (2013D009006000002), the Foundation of Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services.

Abstract

Abstract: The concept of dense small cell has been recently emerged as a promising architecture that can signi?cantly improve spectrum efficiency and system capacity. However, it brings frequent handover for user equipment (UE). Furthermore, this will bring a great deal of signaling overhead to the core network. Virtual technology has been received widespread attention for solving this problem. Its essence is to form virtual cells by clustering various terminals properly. The local mobility management proposed recently is based on the virtual technology. Therefore, the formation process of virtual cells is the basis for the research in local mobility management. So clustering scheme for dense small cell network has been studied in this paper, and a maximum benefit merging algorithm based on undirected weighted graph has been proposed. There are X2 interfaces between the cluster head and each of cluster members within the same cluster. The cluster heads manage the handover among cluster members acting as the local anchors. The proposed clustering scheme is useful for local mobility management. The simulation results show that the proposed clustering algorithm can decrease the signaling overhead more than 70% and 20% compared with the non-clustering algorithm and other clustering algorithms respectively.

Key words: mobility management, dense small cell network, handover, clustering, LTE-A

CLC Number:

TN91

Li Yingying, Ma Zhonggui,Liu Liyu, Yan Wenbo. Dense small cell clustering based on undirected weighted graph for local mobility management[J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2016, 23(5): 32-39.

References

1. Cisco visual networking index: global mobile data traffic forecast update, 2015-2020. San Jose, CA, USA: Cisco. 2016

2. Hosseini K, Dahrouj H, Adve R S. Distributed clustering and interference management in two-tier networks. Proceedings of the 2012 Global Communications Conference (GLOBECOM’12), Dec 3-7, 2012, Anaheim, CA, USA. Piscataway, NJ, USA: IEEE, 2012: 4267-4272

3. Zhu X R, Zhao Y N, Wang Y. Performance analysis and optimization model based on dynamics equation for heterogeneous wireless networks. The Journal of China Universities of Posts and Telecommunications, 2015, 22(3): 49-55

4. Pantisano F, Bennis M, Saad W, et al. Cooperative interference alignment in femtocell networks. Proceedings of the 2011 Global Telecommunications Conference (GLOBECOM’11), Dec 5-9, 2011, Houston, TX, USA. Piscataway, NJ, USA: IEEE, 2011: 6p

5. Rath A, Panwar S. Fast handover in cellular networks with femtocells. Proceedings of the 2012 IEEE International Conference on Communications (ICC’12), Jun 10-15, 2012, Ottawa, Canada. Piscataway, NJ, USA: IEEE, 2012: 2752-2757

6. Wang L, Zhang Y S, Wei Z R. Mobility management schemes at radio network layer for LTE femtocells. Proceedings of the Vehicular Technology Conference. (VTC-Spring’09), Apr 26-29, 2009, Barcelona, Spain. Piscataway, NJ, USA: IEEE, 2009: 5p

7. Ho J S M, Akyildiz I F. Local anchor scheme for reducing signaling costs in personal communications networks. IEEE/ACM Transactions on Networking, 1996, 4(5): 709-725

8. Guo T, Quddus A U, Wang N, et al. Local mobility management for networked femtocells based on X2 traffic forwarding. IEEE Transactions on Vehicular Technology, 2013, 62(1): 326-340

9. Balakrishnan R, Akyildiz I. Local anchor schemes for seamless and low-cost handover in coordinated small cells. IEEE Transactions on Mobile Computing, 2016, 15(5): 1182-1196

10. Wei J. Research of CoMP clustering scheme in LTE-A. Microcomputer and Its Applications, 2014, 33(22): 55-59 (in Chinese)

11. Gesbert D, Hanly S, Huang H, et al. Multi-cell MIMO cooperative networks: a new look at interference. IEEE Journal on Selected Areas in Communications, 2010, 28(9): 1380-1408

12. Venkatesan S. Coordinating base stations for greater uplink spectral efficiency in a cellular network. Proceedings of IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC’07), Sept 3-7, 2007, Athens, Greece. Piscataway, NJ, USA: IEEE, 2007: 5p

13. Li W, Zheng W, Wen X M, et al. Dynamic clustering based sub-band allocation in dense femtocell environments. Proceedings of the IEEE 75th Vehicular Technology Conference (VTC-Spring’12), May 6-9, 2012, Yokohama, Japan. Piscataway, NJ, USA: IEEE, 2012: 5p

14. Mehryar S, Chowdhery A, Yu W. Dynamic cooperation link selection for network MIMO systems with limited backhaul capacity. IEEE International Conference on Communications (ICC’12), Jun 10-15, 2012, Ottawa, Canada. Piscataway, NJ, USA: IEEE, 2012: 4410-4415

15. Fan C M, Zhang Y J, Yuan X J. Dynamic nested clustering for parallel PHY-layer processing in cloud-RANs. IEEE Transactions on Wireless Communications. 2016, 15(3): 1881-1894

16. Baracca P, Boccardi F, Braun V. A dynamic joint clustering scheduling algorithm for downlink CoMP systems with limited CSI. Proceedings of the 2012 International Symposium on Wireless Communication Systems (ISWCS’12), Aug 28-31, 2012, Paris, France. Piscataway, NJ, USA: IEEE, 2012: 830-834

17. Huang K Z, Zheng L Q, Li K, et al. Benefit-tree dynamic clustering algorithm based on degree of wiliness to cooperate for base station cooperation. Journal of Electronics and Information Technology, 2012, 34(6): 1469-1475 (in Chinese)

18. Ng C T K, Huang H. Linear precoding in cooperative MIMO cellular networks with limited coordination clusters. IEEE Journal on Selected Areas in Communications, 2010, 28(9): 1446-1454

19. Tariq F, Dooley L S, Poulton A S, et al. Virtual clustering for resource management in cognitive femtocell networks. Proceedings of the 3rd International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT’11), Oct 5-7, 2011, Budapest, Hungary. Piscataway, NJ, USA: IEEE, 2011: 7p

20. 3GPP TS 36.420 version 13.0.0 Release 13. LTE, evolved universal terrestrial radio access network (E-UTRAN), X2 general aspects and principles. 2015

21. Guo P, Wang J, Geng X H, et al. A variable threshold-value authentication architecture for wireless Mesh networks. Journal of Internet Technology, 2014, 15(6): 929-935

22. Xie S D, Wang Y X. Construction of tree network with limited delivery latency in homogeneous wireless sensor networks. Wireless Personal Communications, 2014, 78(1): 231-246

23. Gu B, Sheng V S, Tay K Y, et al. Incremental support vector learning for ordinal regression. IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(7): 1403-1416

24. Chekkouri A S, Ezzouhairi A, Pierre S. X2 based local mobility management for networked femtocells. Proceedings of the IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob’13), Oct 7-9, 2013, Lyon, France. Piscataway, NJ, USA: IEEE, 2013: 622-629

25. Becvar Z, Vondra M, Mach P. Dynamic optimization of neighbor cell list for femtocells. Proceedings of the IEEE 77th Vehicular Technology Conference (VTC-Spring’13), Jun 2-5, 2013, Dresden, Germany. Piscataway, NJ, USA: IEEE, 2013: 6p

26. ITU-R P.1238-8. Propagation data and prediction methods for the planning of indoor radiocommunication systems and radio local area networks in the frequency range 300 MHz to 100 GHz. 2015

27. Syuhada M Z A, Mahamod I, Firuz W A W N S. Performance evaluation of vertical handoff in fourth generation (4G) networks model. Proceedings of the 6th National Conference on Telecommunication Technologies and 2nd Malaysia Conference on Photonics (NCTT-MCP’08), Aug 26-28, 2008, Putrajaya, Malaysia. Piscataway, NJ, USA: IEEE, 2008: 392-398

28. Umamaheswari, Radhamani G. Clustering schemes for mobile ad hoc networks: A review. Proceedings of the 2012 International Conference on.Computer Communication and Informatics (ICCCI’12), Jan 10-12, 2012, Coimbatore, India. Piscataway, NJ, USA: IEEE, 2012: 6p

Metrics

Comments

Copyright © 2020 The Journal of China Universities of Posts and Telecommunications
　 Adress: P.O. Box 231,Beijing University of Posts and Telecommunications,10 Xi Tucheng Road,Beijing 100876,P.R.China　Post Code: 100081
Tel：86-010-62282493　Fax： 86-010-62283461　E-mail: jchupt@bupt.edu.cn
Support by: Beijing Magtech Co.Ltd

[1]	Zhao Xiyu, Zhang Xuefei , Liu Junjie, Wang Yining. City-wide vehicle dispatching for multi-hop ridesharing package delivery [J]. The Journal of China Universities of Posts and Telecommunications, 2020, 27(5): 82-90.
[2]	He Mingshu, Jin Lei, Wang Xiaojuan, Li Yuan. Web log classification framework with data augmentation based on GANs [J]. The Journal of China Universities of Posts and Telecommunications, 2020, 27(5): 34-46.
[3]	Zhou You, Duan Ruifeng, Jiang Bofeng. Reduced-state noncoherent MLSD method for CPM in aeronautical telemetry [J]. The Journal of China Universities of Posts and Telecommunications, 2020, 27(4): 43-53.
[4]	Wei Rongyu, Nie Min, Yang Guang, Zhang Meiling, Sun Aijing, Pei Changx. Parameters and performance analysis of quantum wireless sensor network for monitoring the activities of tibetan antelope in Hoh Xil [J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2019, 26(6): 11-19.
[5]	Wang Chuanchuan, Zeng Yonghu, Wang Liandong, Fu Weihong. Improved statistical sparse decomposition principle method for underdetermined blind source signal recovery [J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2019, 26(6): 94-102.
[6]	Li Lintao, Liu Yuanan. Physical layer security enhanced system with under-sampling spectrum-sparse signals [J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2019, 26(4): 8-16.
[7]	Gao Miao, Yu Zhiguo, Li Qingqing, Wei Jinghe, Gu Xiaofeng. Improved ECG signal compression method for E-healthcare [J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2019, 26(4): 62-69.
[8]	Shi Zhiming, Huang Chengti. Quality of experience models for network video quality [J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2019, 26(4): 80-88.
[9]	xiao-Tian ZHANG. High Efficiency Polar coding key reconciliation scheme in wireless channel [J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2019, 26(3): 50-55.
[10]	. Robust hybrid beamforming design for millimeter-wave massive MIMO systems [J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2019, 26(3): 44-49.
[11]	Tang Hainie, Liu Hao, Huang Rong, Deng Kailian, Sun Shaoyuan. Model-guided measurement-side control for quantized block compressive sensing [J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2019, 26(2): 82-90.
[12]	Wei Feng, Zou Weixia, Wang Zhen, Wu Xiaomei. Distance control strategy for deploying content replica servers in an edge cloud [J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2019, 26(2): 91-98.
[13]	Yang Jinsheng, Xiang Yang, Chen Weigang, Dong Yangyang. Computationally efficient 2-D DOA estimation for non-uniform two-L-shaped array [J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2018, 25(6): 81-89.
[14]	Yuan Fang, Tian Bin. Modified min-sum SCAN decoding algorithm for polar codes [J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2018, 25(6): 90-96.
[15]	. Steganography algorithm for adaptive multi-rate wideband speech based on algebraic codebook search [J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2018, 25(3): 71-79.

Dense small cell clustering based on undirected weighted graph for local mobility management

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments