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Fairness-Based Distributed Resource Allocation in Cognitive Small Cell Networks

  • Xiaoge HuangEmail author
  • Dongyu Zhang
  • She Tang
  • Qianbin Chen
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 262)

Abstract

In this paper, we aim to maximize the total throughput of the cognitive small cell networks by jointly considering interference management, fairness-based resource allocation, average outage probability and channel reuse radius. In order to make the optimization problem tractable, we decompose the original problem into three sub-problems. Firstly, we derive the average outage probability function of the system with respect to the channel reuse radius. With a given outage probability threshold, the associated range of the channel reuse radius is obtained. In addition, a fairness-based distributed resource allocation (FDRA) algorithm is proposed to guarantee the fairness among cognitive small cell base stations (CSBSs). Finally, based on the channel reuse range we could find the maximum throughput of the small cell network tire. Simulation results demonstrate that the proposed FDRA algorithm could achieve a considerable performance improvement relative to the schemes in literature, while providing a better fairness among CSBSs.

Keywords

Cognitive small cell Resource allocation Channel reuse radius Fairness 

References

  1. 1.
    Yu, J., Han, S., Li, X.: A Robust Game-Based Algorithm for Downlink Joint Resource allocation in hierarchical OFDMA Femtocell network system. IEEE Trans. Syst. Man Cybern. Syst. 2168–2216, 1–11 (2018)MathSciNetGoogle Scholar
  2. 2.
    Bui, K.N., Jung, J.J.: Cooperative game theoretic approach for distributed resource allocation in heterogeneous network. In: 2017 International Conference on Intelligent Environments (IE), Seoul, pp. 168–171 (2017)Google Scholar
  3. 3.
    Li, W., Zhang, J.: Cluster-based resource allocation scheme with QoS guarantee in ultra-dense networks. IET Commun. 12(7), 861–867 (2018)CrossRefGoogle Scholar
  4. 4.
    Yan, Z., Zhou, W., Chen, S., Liu, H.: Modeling and analysis of two-tier hetnets with cognitive small cells. IEEE Access 5, 2904–2912 (2017)CrossRefGoogle Scholar
  5. 5.
    Zhang, H., Nie, Y., Cheng, J., Leung, V.C.M., Nallanathan, A.: Sensing time optimization and power control for energy efficient cognitive small cell with imperfect hybrid spectrum sensing. IEEE Trans. Wirel. Commun. 16(2), 730–743 (2017)CrossRefGoogle Scholar
  6. 6.
    Zhao, M., Guo, C., Feng, C., Chen, S.: Consistent-estimated eigenvalues based cooperative spectrum sensing for dense cognitive small cell network. In: 2017 IEEE International Conference on Communications Workshops (ICC Workshops), Paris, pp. 510–515 (2017)Google Scholar
  7. 7.
    Kuang, Q., Utschick, W.: Energy management in heterogeneous networks with cell activation, user association, and interference coordination. IEEE Trans. Wirel. Commun. 15(6), 3868–3879 (2016)CrossRefGoogle Scholar
  8. 8.
    Tung, L., Wang, L., Chen, K.: An interference-aware small cell on/off mechanism in hyper dense small cell networks. In: 2017 International Conference on Computing, Networking and Communications (ICNC), Santa Clara, CA, pp. 767–771 (2017)Google Scholar
  9. 9.
    Cao, J., Peng, T., Qi, Z., Duan, R., Yuan, Y., Wang, W.: interference management in ultra-dense networks: a user-centric coalition formation game approach. IEEE Trans. Veh. Technol. 67(6), 5188–5202 (2018)CrossRefGoogle Scholar
  10. 10.
    ElSawy, H., Hossain, E.: Two-tier HetNets with cognitive femtocells: downlink performance modeling and analysis in a multichannel environment. IEEE Trans. Mob. Comput. 13(3), 649–663 (2014)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Xiaoge Huang
    • 1
    Email author
  • Dongyu Zhang
    • 1
  • She Tang
    • 1
  • Qianbin Chen
    • 1
  1. 1.School of Communication and Information EngineeringChongqing University of Posts and TelecommunicationsChongqingChina

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