A Joint Power Control and Cooperative Transmission Scheme in Random Networks

  • Dan ZhangEmail author
  • Xin Su
  • Lu Ge
  • Jie Zeng
  • Bei Liu
  • Xiangyun Zheng
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 258)


In this paper, we consider the average spectrum efficiency of edge users under the random network model. In this model, the base stations (BSs) and the users exhibit Poisson distribution. By dividing the center and cell edge users, we use the multiple BSs that are closer to the edge users to cooperative with each other to transfer the users information to improve the average spectrum efficiency of the downlink edge users. We also adopt a distance-dependent power control scheme to further reduce inter-cell interference. Using the above method comprehensively, we derive the analytical expression of the spectral efficiency of the edge user. The performance of this scheme is evaluated through simulation results. Simulation results show that the spectrum efficiency is significantly improved compared to traditional user-centric transmission and non-power control cooperative schemes.


Random geometry Cooperative transmission Power control Cell edge users Downlink spectral efficiency 


  1. 1.
    Liu, H., Su, X., You, Y., Zeng, J.: A reconfigurable software radio framework for accessing diverse resources in distributed nodes. In: Ultra Modern Telecommunications and Control Systems and Workshops, pp. 1–5. IEEE, Budapest (2011)Google Scholar
  2. 2.
    Zeng, J., Su, X., Gong, J., Rong, L, Wang, J.: 5G virtualized radio access network approach based on NO Stack framework. In: IEEE International Conference on Communications, pp. 1–5. IEEE, Paris (2017)Google Scholar
  3. 3.
    Moon, J.-M., Cho, D.-H.: Formation of cooperative cluster for coordinated transmission in multi-cell wireless networks. In: 2013 IEEE 10th Consumer Communications and Networking Conference, pp. 528–533. IEEE, Las Vegas (2013)Google Scholar
  4. 4.
    Cui, Q., Song, H., Wang, H., Valkama, M., Dowhuszko, A.A.: Capacity analysis of joint transmission CoMP with adaptive modulation. IEEE Trans. Veh. Technol. 66(2), 1876–1881 (2017)CrossRefGoogle Scholar
  5. 5.
    Aota, T., Higuchi, K.: A simple downlink transmission power control method for worst user throughput maximization in heterogeneous networks. In: 7th International Conference on Signal Processing and Communication Systems, pp. 1–6. IEEE, Carrara (2013)Google Scholar
  6. 6.
    ElSawy, H., Hossain, E., Haenggi, M.: Stochastic geometry for modeling, analysis, and design of multi-tier and cognitive cellular wireless networks: a survey. IEEE Commun. Surv. Tutor. 15(3), 996–1019 (2013)CrossRefGoogle Scholar
  7. 7.
    Baccelli, F., Giovanidis, A.: Coverage by pairwise base station cooperation under adaptive geometric policies. In: 2013 Asilomar Conference on Signals, Systems and Computers, pp. 748–753. IEEE, Pacific Grove (2013)Google Scholar
  8. 8.
    Tong, Z., Li, B., Liu, M.: Novel downlink coordination scheme for CoMP SU-MIMO. In: 2011 International Conference on Network Computing and Information Security, pp. 121–125. IEEE, Guilin (2011)Google Scholar
  9. 9.
    Yu, S.M., Kim, S.L.: Downlink capacity and base station density in cellular networks. In: 2013 11th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, pp. 119–124. IEEE, Tsukuba Science City (2013)Google Scholar
  10. 10.
    Mankar, P.D., Das, G., Pathak, S.: Load-aware performance analysis of cell center/edge users in random HetNets. IEEE Trans. Veh. Technol. 67(3), 119–124 (2018)CrossRefGoogle Scholar
  11. 11.
    Park, J., Lee, N., Heath, R.W.: Cooperative base station coloring for pair-wise multi-cell coordination. IEEE Trans. Commun. 64(1), 402–415 (2016)CrossRefGoogle Scholar
  12. 12.
    Ferenc, J.-S., Neda, Z.: On the size distribution of Poisson Voronoi cells. Stat. Mech. Appl. 385(2), 518–526 (2007)CrossRefGoogle Scholar

Copyright information

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

Authors and Affiliations

  • Dan Zhang
    • 1
    Email author
  • Xin Su
    • 2
  • Lu Ge
    • 2
  • Jie Zeng
    • 2
  • Bei Liu
    • 2
  • Xiangyun Zheng
    • 2
  1. 1.Chongqing University of Posts and TelecommunicationsChongqingChina
  2. 2.Beijing National Research Center for Information Science and TechnologyTsinghua UniversityBeijingChina

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