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CoSFR: coordinated soft frequency reuse for OFDMA-based multi-cell networks with non-uniform user distribution

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Abstract

Inter-cell interference coordination (ICIC) technology has been extensively studied to improve service quality of users near cell boundaries. Most ICIC schemes available make an assumption that users in the same cell are distributed uniformly. This is reasonable but incomplete. Mobility may result in users distributed non-uniformly, so this paper proposes a novel semi-static ICIC scheme, coordinated soft frequency reuse (CoSFR), for multi-cell networks with non-uniform user distribution. A finer cell partition structure with a tunable parameter r is proposed. With this structure, dedicated user classification rules and opportunistic scheduling strategies are designed for different cells. Assisted by a simple but efficient coordination scheme, a cell with overloaded cell-edge traffic, named aggressor cell, calls adjacent neighboring cells for help. Some reuse opportunities can be created after coordination and the aggressor cell can expand its cell-edge band to alleviate the overloaded state. No additional entity is required for being compatible with the flat network structure of LTE/LTE-Advanced. In addition, CoSFR can deal with the scenario that more than one cell suffering overloaded cell-edge traffic and it can also be applied to irregular cells with minimal modifications. Simulation results show that more than 97.4 % users are satisfied with their data rate. Average cell-edge user throughput is raised substantially and the outage probability declines significantly.

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Notes

  1. In this paper, we will use the notions subchannel and PRB interchangeably.

  2. User position information can be collected by GPS or other positioning systems. These information can be transmitted via the physical uplink control channel (PUCCH) defined in LTE.

  3. Without misunderstanding, we omit the superscript k for simplicity.

  4. It deserves noting that users may have different demands.

  5. Additionally, we provide the list of used symbols in this section and onward in Table 1.

  6. We assume there is only one aggressor cell here. The more complex scenario will be discussed later on.

  7. We cannot provide the solution to the optimization problem since it is not solvable in such a large scale network within a reasonable time using regular devices available.

  8. When the aggressor cells are also direct neighbors, the system should turn to other load balance technologies for help.

References

  1. Molisch, A. F. (2011). Wireless communications (2nd ed.). Hoboken, NJ: Wiley.

    Google Scholar 

  2. 3GPP Technical Specification 36.214. (2008). E-utra and e-utran overall description; stage 2 (release 8), V8.7.0 (2008-12). www.3gpp.org.

  3. 3GPP Technical Specification 36.913. (2008). Requirements for further advancements for e-utra (release 8), V8.0.0 (2008-06). www.3gpp.org.

  4. Andrews, J. G., Ghosh, A., & Muhamed, R. (2007). Fundamentals of WiMAX: Understanding broadband wireless networking (1st ed.). Upper Saddle River, NJ: Pearson Education.

    Google Scholar 

  5. Boudreau, G., Panicker, J., Guo, N., Chang, R., Wang, N., & Vrzic, S. (2009). Interference coordination and cancellation for 4G networks. IEEE Communications Magazine, 47(4), 74–81.

    Article  Google Scholar 

  6. Huawei. (2005). R1-050507: Soft frequency reuse scheme for utran lte (2005-05). www.3gpp.org.

  7. Ericsson. (2005). R1-050764: Inter-cell interference handling for e-utra (2005-09). www.3gpp.org.

  8. Siemens. (2005). R1-050738: Interference mitigation-considerations and results on frequency reuse (2005-09). www.3gpp.org.

  9. Hamza, A. S., Khalifa, S. S., Hamza, H. S., & Elsayed, K. (2013). A survey on inter-cell interference coordination techniques in OFDMA-based cellular networks. IEEE Communications Surveys and Tutorials, 15(4), 1642–1670.

    Article  Google Scholar 

  10. Rahman, M., & Yanikomeroglu, H. (2010). Enhancing cell-edge performance: A downlink dynamic interference avoidance scheme with inter-cell coordination. IEEE Transactions on Wireless Communications, 9(4), 1414–1425.

    Article  Google Scholar 

  11. Ali, S. H., & Leung, V. C. M. (2009). Dynamic frequency allocation in fractional frequency reused OFDMA networks. IEEE Transactions on Wireless Communications, 8(8), 4286–4295.

    Article  Google Scholar 

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

    Article  Google Scholar 

  13. Lopez-Perez, D., Chu, X. L., & Zhang, J. (2012). Dynamic downlink frequency and power allocation in OFDMA cellular networks. IEEE Transactions on Communications, 60(10), 2904–2914.

    Article  Google Scholar 

  14. Zhu, J., & Yang, H.-C. (2011). Performance analysis of low-complexity dual-cell random beamforming transmission with user scheduling. EURASIP Journal on Wireless Communications and Networking, 2011(1), 1–11.

    Article  Google Scholar 

  15. Qian, M., Hardjawana, W., Li, Y., Vucetic, B., Shi, J., & Yang, X. (2012). Inter-cell interference coordination through adaptive soft frequency reuse in lte networks. In Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC) (pp. 1618–1623).

  16. Yu, Y., Dutkiewicz, E., Huang, X., & Mueck, M. (2011). Load distribution aware soft frequency reuse for inter-cell interference mitigation and throughput maximization in lte networks. In Proceedings of the IEEE International Conference on Communication (ICC) (pp. 1–6).

  17. Mao, X., Maaref, A., & Teo, K. H. (2008). Adaptive soft frequency reuse for inter-cell interference coordination in SC-FDMA based 3GPP LTE uplinks. In Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM) (pp. 4782–4787).

  18. Li, L., Liang, D., & Wang, W. (2009). A novel semi-dynamic inter-cell interference coordination scheme based on user grouping. In Proceedings of the IEEE 70th Vehicular Technology Conference (VTC Fall) (pp. 1–5).

  19. Yoon, J., Arslan, M. Y., Sundaresan, K., Krishnamurthy, S. V., & Banerjee, S. (2012). A distributed resource management framework for interference mitigation in OFDMA femtocell networks. In Proceedings of the ACM 13th International Symposium Mobile Ad Hoc Networking and Computing (MobiHoc) (pp. 235–244).

  20. Zhao, N., Yu, F. R., & Leung, V. C. (2015). Opportunistic communications in interference alignment networks with wireless power transfer. IEEE Wireless Communications, 22(1), 88–95.

    Article  Google Scholar 

  21. Novlan, T. D., Ganti, R. K., Ghosh, A., & Andrews, J. G. (2011). Analytical evaluation of fractional frequency reuse for OFDMA cellular networks. IEEE Transactions on Wireless Communications, 10(12), 4294–4305.

    Article  Google Scholar 

  22. Novlan, T. D., Ganti, R. K., Ghosh, A., & Andrews, J. G. (2012). Analytical evaluation of fractional frequency reuse for heterogeneous cellular networks. IEEE Transactions on Communications, 60(7), 2029–2039.

    Article  Google Scholar 

  23. Andrews, J. G., Baccelli, F., & Ganti, R. K. (2011). A tractable approach to coverage and rate in cellular networks. IEEE Transactions on Communications, 59(11), 3122–3134.

    Article  Google Scholar 

  24. Stolyar, A. L., & Viswanathan, H. (2008). Self-organizing dynamic fractional frequency reuse in OFDMA systems. In Proceedings of the IEEE 27th International Conference on Computer Communications (INFOCOM) (pp. 1364–1372).

  25. Maqbool, M., Godlewski, P., Coupechoux, M., & Kelif, J. M. (2010). Analytical performance evaluation of various frequency reuse and scheduling schemes in cellular OFDMA networks. Performance Evaluation, 67(4), 318–337.

    Article  Google Scholar 

  26. Lei, C., & Di, Y. (2009). Soft frequency reuse in large networks with irregular cell pattern: How much gain to expect? In Proceedings of the IEEE 20th International Symposium Personal, Indoor and Mobile Radio Communications (PIMRC) (pp. 1467–1471).

  27. Lei, C., & Di, Y. (2010). Beyond conventional fractional frequency reuse for networks with irregular cell layout: An optimization approach and performance evaluation. In Proceedings of the 5th International Wireless Internet Conference (WICON) (pp. 1–7).

  28. Zhuang, H. C., Shmelkin, D., Luo, Z. Z., Pikhletsky, M., & Khafizov, F. (2013). Dynamic spectrum management for intercell interference coordination in LTE networks based on traffic patterns. IEEE Transactions on Vehicular Technology, 62(5), 1924–1934.

    Article  Google Scholar 

  29. Gonzalez, D., Garcia-Lozano, M., Boque, S. R., & Lee, D. S. (2013). Optimization of soft frequency reuse for irregular LTE macrocellular networks. IEEE Transactions on Wireless Communications, 12(5), 2410–2423.

    Article  Google Scholar 

  30. Tao, X., Xu, F., Rehman, W. U., Xu, Y., & Li, X. (2013). A generic mathematical model based on fuzzy set theory for frequency reuse in cellular networks. IEEE Journal on Selected Areas in Communications, 31(5), 861–869.

    Article  Google Scholar 

  31. Assaad, M. (2008). Optimal fractional frequency reuse (FFR) in multicellular OFDMA system. In Proceedings of the IEEE 68th Vehicular Technology Conference (VTC Fall) (pp. 1822–1826).

  32. Yu, Y., Dutkiewicz, E., Huang, X., & Mueck, M. (2013). Downlink resource allocation for next generation wireless networks with inter-cell interference. IEEE Transactions on Wireless Communications, 12(4), 1783–1793.

    Article  Google Scholar 

  33. 3GPP Technical Specification 36.423. (2014). E-utran x2 aplication protocol (release 12), V12.3.0 (2014-09). www.3gpp.org.

  34. Lei, H., Zhang, L., Zhang, X., & Yang, D. (2007). A novel multi-cell OFDMA system structure using fractional frequency reuse. in Proceedings of the IEEE 18th International Symposium Personal, Indoor and Mobile Radio Communications (PIMRC) (pp. 1250–1254).

  35. Sternad, M., Svensson, T., Ottosson, T., Ahlen, A., Svensson, A., & Brunstrom, A. (2007). Towards systems beyond 3G based on adaptive OFDMA transmission. Proceedings of the IEEE, 95(12), 2432–2455.

    Article  Google Scholar 

  36. Sadr, S., Anpalagan, A., & Raahemifar, K. (2009). Radio resource allocation algorithms for the downlink of multiuser OFDM communication systems. IEEE Communications Surveys and Tutorials, 11(3), 92–106.

    Article  Google Scholar 

  37. Liu, T., Yang, C., & Yang, L.-L. (2010). A low-complexity subcarrier-power allocation scheme for frequency-division multiple-access systems. IEEE Transactions on Wireless Communications, 9(5), 1564–1570.

    Article  Google Scholar 

  38. Chang, R. Y., Tao, Z., Zhang, J., & Kuo, C. C. J. (2009). Multicell OFDMA downlink resource allocation using a graphic framework. IEEE Transactions on Vehicular Technology, 58(7), 3494–3507.

    Article  Google Scholar 

  39. Novlan, T. D., Andrews, J. G., Sohn, I., Ganti, R. K., & Ghosh, A. (2010). Comparison of fractional frequency reuse approaches in the OFDMA cellular downlink. In Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM) (pp. 1–5).

  40. Xu, Z. K., Li, G. Y., Yang, C. Y., & Zhu, X. L. (2012). Throughput and optimal threshold for FFR schemes in OFDMA cellular networks. IEEE Transactions on Wireless Communications, 11(8), 2776–2785.

    Google Scholar 

  41. Lee, D., Li, G. Y., & Tang, S. (2013). Intercell interference coordination for LTE systems. IEEE Transactions on Vehicular Technology, 62(9), 4408–4420.

    Article  Google Scholar 

  42. Govindasamy, D. W. B. (2013). Adaptive wireless communications: MIMO channels and networks. New York, NY: Cambridge University Press.

    Google Scholar 

  43. Bohge, M., Gross, J., & Wolisz, A. (2009). Optimal power masking in soft frequency reuse based OFDMA networks. In Proceedings of the European Wireless Conference (EW) (pp. 162–166).

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Acknowledgments

This work is supported in part by the National Natural Science Foundation of China (61231008), and by the 111 Project under Grant (B08038).

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Correspondence to Jiandong Li.

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Huang, J., Li, J., Zhao, L. et al. CoSFR: coordinated soft frequency reuse for OFDMA-based multi-cell networks with non-uniform user distribution. Wireless Netw 23, 2037–2050 (2017). https://doi.org/10.1007/s11276-016-1247-6

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  • DOI: https://doi.org/10.1007/s11276-016-1247-6

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