Framework for Dynamic Resource Allocation to Avoid Intercell Interference by Evidence Theory

  • Suneeta BudihalEmail author
  • R. Sandhya
  • S. Sneha
  • V. S. Saroja
  • M. B. Rajeshwari
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 518)


The paper proposes a framework to allocate the radio resources dynamically to avoid intercell interference (ICI) using evidence theory in MIMO-OFDMA (Multiple Input Multiple Output–Orthogonal Frequency Division Multiple Access) downlink system. In order to utilize the available radio resources such as bandwidth and power for improving cell throughput, the neighboring cells need to share the common resources. Hence, user terminals (UTs) at cell boundary experience severe ICI and contribute to the reduced overall cell throughput. We propose evidence-based Dempster–Shafer Combination Rule (DSCR) to estimate the confidence factor (CF) based on evidence parameters. We estimate the confidence interval (CI) for the bifurcation of cell users based on either decision ratio or CF as cell center and cell edge. With DSCR, an uncertainty contained in the hypothesis is avoided. The obtained evidences are the decisive factors to allocate resources dynamically to avoid ICI. The simulation results demonstrate the improvement in cell edge performance and in turn enhance the overall cell capacity.


ICI avoidance Resource allocation DSCR Capacity Confidence factor Confidence interval 


  1. 1.
    A. Daeinabi, K. Sandrasegaran, X. Zhu, “Survey of Intercell Interference Mitigation Techniques in LTE Downlink Networks,” 978-1-4673-4410-4/12/31.00 2012 Crown ed., 2012.Google Scholar
  2. 2.
    X. Zhang, Ch. He, L. Jiang, and J. Xu, “Inter-cell interference coordination based on softer frequency reuse in OFDMA cellular systems,” International Conference on Neural Networks and Signal Processing: June 2008, pp. 270–275.Google Scholar
  3. 3.
    D. Kimura, Y. Harada, and H. Seki, “De-Centralized Dynamic ICIC Using X2 Interfaces for Downlink LTE Systems,” IEEE 73rd VTC, 2011, pp. 1–5.Google Scholar
  4. 4.
    Huawei, R1-050507, “Soft Frequency Reuse Scheme for UTRANLTE,” Interference mitigation by Partial Frequency Reuse,” 3GPP RAN WG141, Athens, Greece, May 2005.Google Scholar
  5. 5.
    S-E. Elayoubi, O. BenHaddada, and B. Fourestie, “Performance Evaluation of Frequency Planning Schemes in OFDMA-based Networks,” IEEE Transaction on Wireless Communications, vol. 7, no. 5, May 2008, pp. 1623–1633.Google Scholar
  6. 6.
    Ch. You, Ch. Seo, Sh. Portugal, G. Park, T. Jung, H. Liu and I. Hwang, “Intercell Interference Coordination Using Threshold-Based Region Decisions,” Wireless Personal Communications, vol. 59, no. 4, 2011, pp. 789–806.Google Scholar
  7. 7.
    L. Liu, G. Zhu, D. Wu, “A Novel Fractional Frequency Reuse Structure Based on Interference Avoidance Scheme in Multi-cell LTE Networks,” 6th CHINACOM, August 2011, pp. 551–555.Google Scholar
  8. 8.
    Q. Duy La, Y. Huat Chew, and B. Soong, “An interference minimization game theoretic subcarrier allocation for OFDMA-based distributed systems,” IEEE GTC, 2009, pp. 1–6.Google Scholar
  9. 9.
    A. L. Stolyar and H. Viswanathan, “Self-organizing dynamic fractional frequency reuse for best-effort traffic through distributed inter-cell coordination,” in Proc. IEEE INFOCOM 2009., 2009, pp. 1287–1295.Google Scholar
  10. 10.
    M.C. Necker, “A novel algorithm for distributed dynamic interference coordination in cellular networks,” in Proc. KiVS, 2011, pp. 233–238.Google Scholar
  11. 11.
    S. Ko, H. Seo, H. Kwon, and B. Gi Lee, “Distributed power allocation for efficient inter-cell interference management in multi-cell OFDMA systems,” in 16th Asia-Pacific Conference on Communications, 2010, pp. 243–248.Google Scholar
  12. 12.
    Tabib Ramesh et al, “Decision fusion for robust horizon estimation using Dempster Shafer Combination Rule,” NCVPRIPG, 2013 Fourth National Conference on IEEE, 2013, pp. 1–4.Google Scholar
  13. 13.
    Rakowsky Uwe Kay, “Fundamentals of the Dempster-Shafer theory and its applications to system safety and reliability modeling,” RTA 3-4 Special Issue Dec. 2007.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Suneeta Budihal
    • 1
    Email author
  • R. Sandhya
    • 1
  • S. Sneha
    • 1
  • V. S. Saroja
    • 1
  • M. B. Rajeshwari
    • 1
  1. 1.Department of ECEBVBCETHubballiIndia

Personalised recommendations