Abstract
As one of the key technologies of 5G, ultra dense network (UDN), densely distributed small base stations has brought about an increase in system capacity and transmission rate, and has become a research hotspot in recent years. In order to compensate for the severe co-layer and cross-layer interference caused by UDN, clustering small cells first and Stackelberg game is applied to spectrum allocation, and the Nash equilibrium is solved to obtain a spectrum allocation strategy with less interference. The performance of spectrum allocation algorithm based on Stackelberg game (SASG) is simulated and the simulation results verify the performance of SASG, showing that SASG can effectively improve the system throughput under limited spectrum resources.
This work is supported in part by National Natural Science Foundation of China (No. 61671184, No. 61901137).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
IMT-2020(5G) Promotion Group.: 5G Vision and Demand White Paper [EB/OL] 2015/04/17
Seno, R., Ohtsuki, T., Jiang, W., Takatori, Y.: A low-complexity cell clustering algorithm in dense small cell networks. EURASIP J. Wirel. Commun. Netw. 2016(1), 1–11 (2016). https://doi.org/10.1186/s13638-016-0765-3
Qiu, J., Wu, Q., Xu, Y.: Demand-aware resource allocation for ultra-dense small cell networks: an interference-separation clustering-based solution. Trans. Emerg. Telecommun. Technol. 27(8), 1071–1086 (2016)
Liang, L., Wang, W., Jia, Y.: A cluster-based energy-efficient resource management scheme for ultra-dense networks. IEEE Access 4, 6823–6832 (2016)
Wenchao, L., Jing, Z.: Cluster-based resource allocation scheme with QoS guarantee in ultra-dense networks. IET Commun. 12(7), 861–867 (2018)
Xu, Z., He, Y., Xu, X.: Qo graph coloring spectrum allocation for femto cell in macro/femto heterogeneous network. In: Communications and Networking in China (CHINACOM), pp. 374–378. IEEE Press, Guilin (2013)
Tang, H., Hong, P., Xue, K.: Cluster-based resource allocation for interference mitigation in LTE heterogeneous networks. In: Vehicular Technology Conference (VTC Fall), pp. 1–5. IEEE Press, Canada (2012)
Nai, S., Quek, T., Debbah, M.: Slow admission and power control for small cell networks via distributed optimization. In: Wireless Communications and Networking Conference (WCNC), pp. 2261–2265. IEEE Press, Shanghai (2013)
Lien, S., Lin, Y., Chen, K.: Cognitive and game-theoretical radio resource management for autonomous femto cells with QoS guarantees. IEEE Trans. Wirel. Commun. 10(7), 2196–2206 (2011)
Duong, N., Madhukumar, A.: Niyato allocation in two-tier networks. Stackelberg Bayesian Game Power Trans. Veh. Technol. 65(4), 2341–2354 (2016)
Chen, S., Fei, Q., Bo, H.: User-centric ultra-dense networks for 5G. IEEE Wirel. Commun. 23(2), 78–85 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Zhihao, H., Donglai, Z., Gang, W. (2021). Research on Spectrum Allocation Strategy Based on Stackelberg Game in Ultra Dense Network. In: Guan, M., Na, Z. (eds) Machine Learning and Intelligent Communications. MLICOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-66785-6_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-66785-6_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-66784-9
Online ISBN: 978-3-030-66785-6
eBook Packages: Computer ScienceComputer Science (R0)