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 TA planning method in heterogeneous cellular networks. Macrocells preferred access is not a fundamental solution for TA planning, result 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 while maintaining the utilization proportion of femtocells.
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Acknowledgment
This work has been sponsored by National Natural Science Foundation of China (No. 61101125 and 61571316), and the China Scholarship Council (No. 201406120100). Meanwhile, the authors would like to thank anonymous for improving the quality of this paper.
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Ning, L., Wang, Z., Guo, Q. (2017). Tracking Areas Planning with Cooperative Game in Heterogeneous and Small Cell Networks. In: Cheng, J., Hossain, E., Zhang, H., Saad, W., Chatterjee, M. (eds) Game Theory for Networks. GameNets 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 174. Springer, Cham. https://doi.org/10.1007/978-3-319-47509-7_5
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