Robust coordinated transmission for cooperative small cell networks

Robust coordinated transmission for cooperative small cell networks

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Within a macrocell with a large coverage area, multiple small cells are deployed such that each small cell base station (SBS) supports wireless service demands from user equipments (UEs). Each UE can be simultaneously served by multiple SBSs for quality of service (QoS) enhancement. When there exist hotspot areas with a number of UEs, the SBSs near the hotspot areas may experience a higher resource utilisation level than those outside of the hotspot areas, resulting in a shortage of available resources. The authors propose a robust resource-utilisation-based coordinated transmission for heterogeneous networks with a locally different level of traffic demands. In the utilisation-based coordinated transmission, low-utilisation SBSs with a small number of UEs are selected to serve a newly joining UE because they have more capacity to serve requests with bursty traffic demand. They further formulate the selection of cooperative SBSs as a robust optimisation problem in order to ensure that UEs have sufficiently high signal-to-interference-plus-noise ratios, even with channel estimation inaccuracy and strong interference from non-cooperative SBSs. The simulation results indicate that the proposed method guarantees robust and efficient service performance in heterogeneous small cell networks.


    1. 1)
    2. 2)
    3. 3)
      • 3. Marsch, P., Fettweis, G.: ‘Static clustering for cooperative multi-point (CoMP) in mobile communications’. Proc. IEEE ICC, June 2011, pp. 16.
    4. 4)
      • 4. Huang, K., Andrews, J.G.: ‘A stochastic-geometry approach to coverage in cellular networks with multi-cell cooperation’. Proc. IEEE GLOBECOM, December 2011, pp. 15.
    5. 5)
      • 5. Unachukwu, C., Zhang, L., McLernon, D., et al: ‘Cooperating set selection for reduced power consumption and data overhead in downlink CoMP transmission’. Proc. ISWCS, August 2013, pp. 15.
    6. 6)
    7. 7)
      • 7. Katranaras, E., Imran, M.A., Dianati, M.: ‘Energy-aware clustering for multi-cell joint transmission in LTE networks’. Proc. IEEE ICC, June 2013, pp. 419424.
    8. 8)
      • 8. Zhao, J., Zhang, T., Zeng, Z., et al: ‘An overlapped clustering scheme of coordinated multi-point transmission for LTE-A systems’. Proc. IEEE ICCT, November 2012, pp. 479484.
    9. 9)
      • 9. Baracca, P., Boccardi, F., Braun, V.: ‘A dynamic joint clustering scheduling algorithm for downlilnk CoMP systems with limited CSI’. Proc. ISWCS, August 2012, pp. 830834.
    10. 10)
    11. 11)
    12. 12)
      • 12. Han, S., Yang, C., Wnag, G., et al: ‘On the energy efficiency of base station sleeping with multicell cooperative transmission’. Proc. IEEE PIMRC, September 2011, pp. 15361540.
    13. 13)
      • 13. He, S., Chen, W., Huang, Y., et al: ‘Distributed energy-efficient design for coordinated multicell downlink transmission’. Proc. IEEE WCNC, March 2015, pp. 539544.
    14. 14)
      • 14. Jaziri, A., Nasri, R., Chahed, T.: ‘System level analysis of heterogeneous networks under imperfect traffic hotspot localization’, IEEE Trans. Veh. Technol., 2016 (in press).
    15. 15)
      • 15. Nan, E., Chu, X., Zhang, J.: ‘Mobile small-cell deployment strategy for hot spot in existing heterogeneous networks’. Proc. IEEE GS Workshops, December 2015, pp. 16.
    16. 16)
    17. 17)
      • 17. Martello, S., Toth, P.: ‘Knapsack problems: algorithms and computer implementations’ (John Wiley & Sons, 1990).
    18. 18)
      • 18. Kellerer, H., Pferschy, U., Pisinger, D.: ‘Knapsack problems’ (Springer, 2004).
    19. 19)
      • 19. Vazirani, V.V.: ‘Approximation algorithms’ (Springer, 2001).

Related content

This is a required field
Please enter a valid email address