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Tracking Areas Planning Based on Community Detection in Heterogeneous and Small Cell Networks

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Abstract

Increasing demands of data transmissions are promoting the acceleration of peaking rate per terminal especially in hot-spots. Numerous irregular deployments of small cells require efficient tracking area (TA) planning method in heterogeneous cellular networks. Macrocells preferred access is not a fundamental solution for TA planning, which results from reducing the offloading ability of small cells. In this paper, a novel TA planning algorithm based on cooperative games is proposed by detecting similar communities. Simulation results show that it can reduce the signalling overhead, improve the performance of calling successes and system utilizations while maintaining the offloading abilities of small cells.

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Acknowledgments

This work has been sponsored by the China Scholarship Council (No. 201406120100) and National Natural Science Foundation of China (No. 61101125 and 61571316). Meanwhile, the authors would like to thank anonymous for improving the quality of this paper.

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Authors and Affiliations

  1. Communication Research Center, Harbin Institute of Technology, Harbin, China

    Lei Ning, Zhenyong Wang, Dezhi Li & Qing Guo

  2. R & D Department, Shenzhen Academy of Aerospace Technology, Shenzhen, China

    Zhenyong Wang

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  1. Lei Ning
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  2. Zhenyong Wang
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  3. Dezhi Li
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  4. Qing Guo
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Correspondence to Lei Ning.

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Ning, L., Wang, Z., Li, D. et al. Tracking Areas Planning Based on Community Detection in Heterogeneous and Small Cell Networks. Mobile Netw Appl 22, 529–538 (2017). https://doi.org/10.1007/s11036-016-0763-z

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