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Selecting the Optimal Fractional Frequency Reuse Scheme in Long Term Evolution Networks

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Abstract

Long Term Evolution (LTE) networks offer high capacity and are specified and designed to accommodate small, high performance, power-efficient end-user devices. One limiting factor that influences LTE performance is the interference from neighbouring cells, the so called Inter-Cell Interference (ICI). The investigation of ICI mitigation techniques has become a key focus area in achieving dense spectrum reuse in next generation cellular systems. Fractional Frequency Reuse (FFR) has been proposed as a technique to overcome this problem, since it can efficiently utilize the available frequency spectrum. This manuscript proposes a dynamic mechanism that selects the optimal FFR scheme based on a custom metric, which is called user satisfaction. In detail, the proposed mechanism divides the cell into two regions, the inner and outer region, and selects the optimal size as well as the optimal frequency allocation between these regions with main target to maximize the user satisfaction metric. The proposed mechanism is evaluated through several simulation scenarios that incorporate users’ mobility and its selected FFR scheme is compared with other frequency reuse schemes in order to highlight its performance.

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References

  1. Mobile WiMAX-Part, II. (2006). A comparative analysis. Tech. Rep., WiMAX Forum, May 2006.

  2. Necker, M. C. (2007). Local interference coordination in cellular OFDMA networks. In proceedings of IEEE 66th vehicular technology conference (VTC 2007-Fall) (pp. 1–5). Stuttgart, Germany.

  3. FFR Scheme Selection Mechanism. Available at http://ru6.cti.gr/ru6/FFR_selection_mechanism.zip.

  4. 3GPP. (2005). Radio access network work group1 contributions. http://www.3gpp.org.

  5. Begain, K., Rozsa, G. I., Pfening, A., & Telek, M. (2002). Performance analysis of GSM networks with intelligent underlay-overlay. In Proceedings of the 7th international symposium on computers and communications (ISCC 2002) (pp. 135–141), Taormina, Italy.

  6. Mobile WiMAX Part I. (2006). A technical overview and performance evaluation, WiMAX Forum. Tech. Rep. February 2006.

  7. 3GPP TSG RAN WG1#42 R1–050841. (2005). Further analysis of soft frequency reuse scheme. Huawei, Tech. Rep.,

  8. 3GPP TSG RAN WG1#42 R1–050764. (2005). Inter-cell interference handling for E-UTRA, Ericsson. Tech. Rep. September 2005.

  9. Chang, R. Y., Tao, Z., Zhang, J., & Kuo, C.-C. J. (2009). A graph approach to dynamic fractional frequency reuse (FFR) in multi-cell OFDMA networks, In proceedings of IEEE international conference on communications (ICC 2009) (pp. 1–6). Dresden, Germany.

  10. Assad, M. (2008). Optimal fractional frequency reuse (FFR) in multicellular OFDMA system. In proceedings of IEEE 68th vehiculear technology conference (VTC 2008–Fall) (pp. 1–5). Colgay, Canada.

  11. Hassan, N. U. L., & Assad, M. (2009). Optimal fractional frequency reuse (FFR) and resource allocation in multiuser OFDMA system. In proceedings of international conference on information and communication technologies, (ICICT 2009) (pp. 88–92). Karachi, Pakistan.

  12. Fang, L., & Zhang, X. (2008). Optimal fractional frequency reuse in OFDMA based wireless networks. In Proceedings of 4th international conference on wireless communications, networking and mobile. computing, (WiCOM’08) (pp. 1–4) Dalian, china.

  13. Xiang, Y., & Luo, J. (2007). Inter-cell interference mitigation through flexible resource reuse in OFDMA based communication networks. In Proceedings of European Wireless’ 2007 (pp. 1–7). Paris, France.

  14. 3GPP TSG RAN WG1 Meeting #41 R1–050507. (2005). Soft frequency reuse scheme for UTRAN LTE. Huawei, Athens, Greece, May 2005.

  15. Sternad, M., Ottosson, T., Ahlen, A., & Svensson, A. (2003). Attaining both coverage and high spectral efficiency with adaptive OFDM downlinks. In Proceedings of IEEE 58th Vehicular Technology Conference (VTC 2003-Fall) (Vol. 4, pp. 2486–2490).

  16. Fodor, G., Koutsimanis, C., Rácz, A., Reider, N., Simonsson, A., & Müller, W. (2009). Intercell interference coordination in OFDMA networks and in the 3GPP long term evolution system. Journal of Communications, 4(7), 445–453.

    Article  Google Scholar 

  17. Li, G., & Liu, H. (2006). Downlink radio resource allocation for multi-cell OFDMA system. IEEE Transactions on Wireless Communications, 5(12), 3451–3459.

    Google Scholar 

  18. Godlewski, Ph., Maqbool, M., Coupechoux, M., & Kelif, J. M. (2008). Analytical evaluation of various frequency reuse schemes in cellular OFDMA networks. In Proceedings of 3rd international conference on performance evaluation methodologies and tools (Valuetools 2008) (pp. 1–10). Athens, Greece.

  19. 3GPP TSG-RAN, TR 25.814. (2006–2005). Physical layer aspects for evolved UTRA (Release 7), v1.3.1.

  20. Lei, H., Zhang, L., Zhang, X., & Yang, D. (2007). A novel multi-cell OFDMA system structure using fractional frequency reuse. In Proceedings of IEEE 18th international symposium on personal, indoor and mobile radio communications (PIMRC’07) (pp. 1–5). Athens, Greece.

  21. Bilios, D., Bouras, C., Kokkinos, V., Papazois, A., & Tseliou, G. (2012). Optimization of fractional frequency reuse in long term evolution networks. In Proceeding of IEEE wireless communications and networking conference (WCNC 2012) (pp. 1853–1857). Paris, France.

  22. 3GPP TR 36.814 V9.0.0. (2010). Technical report 3rd generation partnership project; Technical specification group radio access network; Evolved universal terrestrial radio access (E-UTRA); Further advancements for E-UTRA physical layer aspects (Release 9), March 2010.

  23. 3GPP. (2009). LTE Resource Guide. Anritsu Company.

  24. Shabbir, N., Sadiq, M. T., Kashif, H., & Ullah, R. (2011). Comparison of radio propagation models for long term evolution (Lte) network. International Journal of Next-Generation Networks (IJNGN), 3(3), 27–41.

    Google Scholar 

  25. Saunders, S. (2000). Antennas and propagation for wireless communication systems. Wiley.

  26. ITU-R M.1225 International Telecommunication Union. (1997). Guidelines for evaluation of radio transmission technologies for IMT-2000.

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Authors and Affiliations

  1. Computer Technology Institute & Press “Diophantus”, N. Kazantzaki, 26504 , Patras, Greece

    Dimitrios Bilios, Christos Bouras, Vasileios Kokkinos, Andreas Papazois & Georgia Tseliou

  2. Computer Engineering and Informatics Department, University of Patras, 26504 , Patras, Greece

    Dimitrios Bilios, Christos Bouras, Vasileios Kokkinos, Andreas Papazois & Georgia Tseliou

Authors
  1. Dimitrios Bilios
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  2. Christos Bouras
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  3. Vasileios Kokkinos
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  4. Andreas Papazois
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  5. Georgia Tseliou
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Correspondence to Christos Bouras.

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Bilios, D., Bouras, C., Kokkinos, V. et al. Selecting the Optimal Fractional Frequency Reuse Scheme in Long Term Evolution Networks. Wireless Pers Commun 71, 2693–2712 (2013). https://doi.org/10.1007/s11277-012-0965-z

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