Abstract
Multihop cellular network (MCN) is a feasible scheme to help enlarge network coverage and enhance signal strength in the way of deploying heterogeneous network (HetNet). However, it is challenging for mobile network operators (MNOs) to expedite the implementation of MCN. On the one hand, it is prohibitively expensive to deploy and manage a large-scale intermediate nodes which is essential in MCN; on the other hand, traditional intermediate nodes are usually autonomous and self-interested, which has negative effect on the transmission efficiency and reliability. To address this issue, we discuss a new paradigm of MCN based on crowdsourcing-HetNet (CHetNet). In this paradigm, MNOs recruit the third-parties (TPs) to participate in the construction and maintenances of intermediate nodes by means of rational incentive mechanism. In this article, we mainly focus on a two-hop cellular network in CHetNet. A game-theory approach is used to discuss the whole process of crowdsourcing in this two-hop cellular network and detailed proofs of Nash equilibrium and Stackelberg equilibrium is provided. It is concluded that MCN in CHetNet can help MNOs ease the pressure on the deployment of HetNet and further promote development of 5G.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Cai, S., Che, Y., Duan, L., Wang, J., Zhou, S., Zhang, R.: Green 5G heterogeneous networks through dynamic small-cell operation. IEEE J. Sel. Areas Commun. 34(5), 1103–1115 (2016)
Cisco: Cisco visual networking index: global mobile data traffic forecast update, 2013 to 2018. Technical report, February 2014
Ge, X., Tu, S., Mao, G., Wang, C.X., Han, T.: 5G ultra-dense cellular networks. IEEE Wirel. Commun. 23(1), 72–79 (2015)
Ghosh, A., Mangalvedhe, N., Ratasuk, R., Mondal, B., Cudak, M., Visotsky, E., Thomas, T.A., Andrews, J.G., Xia, P., Jo, H.S., et al.: Heterogeneous cellular networks: from theory to practice. IEEE Commun. Mag. 50(6), 54–64 (2012)
Jangsher, S., Li, V.O.K.: Power control in multihop cellular networks with multiple radio access technologies. In: IEEE International Symposium on Personal, Indoor, and Mobile Radio Communication, pp. 1674–1678 (2014)
Kanhere, S.S.: Participatory sensing: crowdsourcing data from mobile smartphones in urban spaces. In: Hota, C., Srimani, P.K. (eds.) ICDCIT 2013. LNCS, vol. 7753, pp. 19–26. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-36071-8_2
Machuca, C.M.: Expenditures study for network operators. In: International Conference on Transparent Optical Networks, pp. 18–22 (2006)
Osseiran, A., Boccardi, F., Braun, V., Kusume, K., Marsch, P., Maternia, M., Queseth, O., Schellmann, M., Schotten, H., Taoka, H.: Scenarios for 5G mobile and wireless communications: the vision of the METIS project. IEEE Commun. Mag. 52(5), 26–35 (2014)
Wang, Y., Lin, X.: CHetNet: crowdsourcing to heterogeneous cellular networks. Netw. IEEE 29(6), 62–67 (2015)
Wang, Y., Lin, X.: User-provided networking for QoE provisioning in mobile networks. Wirel. Commun. IEEE 22(4), 26–33 (2015)
Yang, D., Xue, G., Fang, X., Tang, J.: Incentive mechanisms for crowdsensing: crowdsourcing with smartphones. IEEE/ACM Trans. Netw. 24(3), 1732–1744 (2016)
Zhang, H., Sugiyama, M.: Task selection for bandit-based task assignment in heterogeneous crowdsourcing. In: Technologies and Applications of Artificial Intelligence, pp. 164–171 (2015)
Acknowledgements
This work has been supported in part by the National Natural Sciences Foundation of China (NSFC) under Grants 61501140, 61701136, and 61525103.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Yan, Y., Wang, Y., Yu, J., Gu, S., Chen, S., Zhang, Q. (2018). Analysis of Crowdsourcing Based Multiple Cellular Network: A Game Theory Approach. In: Li, C., Mao, S. (eds) Wireless Internet. WiCON 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 230. Springer, Cham. https://doi.org/10.1007/978-3-319-90802-1_30
Download citation
DOI: https://doi.org/10.1007/978-3-319-90802-1_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-90801-4
Online ISBN: 978-3-319-90802-1
eBook Packages: Computer ScienceComputer Science (R0)