Skip to main content
Log in

Spectrum Allocation for Enhanced Cross-Tier Interference Mitigation with Throughput Improvement for Femtocells in a Heterogeneous LTE Cellular Network

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Femtocells are the solution to improve cellular system capacity in indoor coverage. In two-tier networks, co-channel interference is a serious problem. In this paper, an efficient spectrum allocation scheme is proposed to improve signal to interference plus noise ratio (SINR) and the throughput for femtocell users. The proposed spectrum allocation scheme is based on reducing the cross-tier interference by allocating the best group of the available resource blocks (RBs) that achieve minimum interference level for femtocell users. The soft frequency reuse scheme is considered for long term evolution cellular system due to its ability to decrease the inter-cell interference and enhances the throughput for macrocells. Simulation results show that the proposed spectrum allocation scheme efficiently increases the SINR for femtocell users and enhances both the femtocell throughput and the total cell throughput compared to the conventional random allocation scheme. In addition, it is shown that the best performance of proposed scheme in terms of highest SINR and highest throughput is achieved by allocating only one-third of the available RBs for femtocell.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

References

  1. Zahir, T., Arshad, K., Nakata, A., & Moessner, K. (2013). Interference management in femtocells. IEEE Communications Surveys and Tutorials, 15(1), 293–311.

    Article  Google Scholar 

  2. Mouna, H. (2017). Resource management and interference mitigation for dense heterogeneous small-cell networks. Ph.D. dissertation, École de technologie supérieure.

  3. Sbit, S., Dadi, M. B., & Rhaimi, B. C. (2018). Interference evaluation in cellular networks. Wireless Personal Communications. https://doi.org/10.1007/s11277-018-5637-1.

    Google Scholar 

  4. Kosta, C., et al. (2013). On interference avoidance through inter-cell interference coordination (ICIC) based on OFDMA mobile systems. IEEE Communications Surveys and Tutorials, 15(3), 973–995.

    Article  Google Scholar 

  5. Xie, Z., & Walke, B. (2010). Resource allocation and reuse for inter-cell interference mitigation in OFDMA based communication networks. In 2010 the 5th annual ICST wireless internet conference (WICON). IEEE.

  6. Bouras, C., Kavourgias, G., Kokkinos, V., & Papazois, A. (2012). Interference management in LTE femtocell systems using an adaptive frequency reuse scheme. In Wireless telecommunications symposium (WTS) (pp. 1–7). IEEE.

  7. Bilios, D., Bouras, C., Kokkinos, V., Papazois, A., & Tseliou, G. (2013). Selecting the optimal fractional frequency reuse scheme in long term evolution networks. Wireless Personal Communications, 71(4), 2693–2712.

    Article  Google Scholar 

  8. Mohamed, A. S., Abd-Elnaby, M., & El-Dolil, S. A. (2016). Self-organized dynamic FFR resource allocation scheme for LTE-advanced relay based networks. Wireless Personal Communications, 91(2), 933–955.

    Article  Google Scholar 

  9. Jiming, C., Peng, W., & Jie, Z. (2013). Adaptive soft frequency reuse scheme for in-building dense femtocell networks. China Communications, 10(1), 44–55.

    Article  Google Scholar 

  10. Mohamed, A. S., Abd-Elnaby, M., & El-Dolil, S. A. (2016). Self-organised dynamic resource allocation scheme using enhanced fractional frequency reuse in long term evolution-advanced relay-based networks. IET Communications, 10(10), 1163–1174.

    Article  Google Scholar 

  11. Giambene, G., & Yahiya, T. A. (2014). LTE planning for soft frequency reuse. IFIP Wireless Days, February.

  12. Gajewski, S. (2017). Soft-partial frequency reuse method for LTE-A. In Radioengineering (vol. 26, no. 1). IEEE.

  13. Morales, G., Femenias, J. G., & Riera-Palou, F. (2016). Analysis and optimization of FFR-aided OFDMA-based heterogeneous cellular networks. IEEE Access, 4, 5111–5127.

    Article  Google Scholar 

  14. Jeon, W. S., Kim, J., & Jeong, D. G. (2014). Downlink radio resource partitioning with fractional frequency reuse in femtocell networks. IEEE Transactions Vehicular Technology, 63(1), 308–321.

    Article  Google Scholar 

  15. Bharucha, Z., Haas, H., Auer, G., & Cosovic, I. (2009). Femto-cell resource partitioning. In GLOBECOM workshops (pp. 1–6). IEEE.

  16. Jin, F., Zhang, R., & Hanzo, L. (2013). Fractional frequency reuse aided twin-layer femtocell networks: Analysis, design and optimization. IEEE Transactions Communications, 61(5), 2074–2085.

    Article  Google Scholar 

  17. Chu, X., Wu, Y., Benmesbah, L., & Ling, W. K. (2010). Resource allocation in hybrid macro/femto networks. In Wireless communications and networking conference workshops (WCNCW) (pp. 1–5). IEEE.

  18. Kalbkhani, H., Jafarpour-Alamdari, S., Solouk, V., & Shayesteh, M. G. (2014). Interference management and six-sector macrocells for performance improvement in femto–macro cellular networks. Wireless Personal Communications, 75(4), 2037–2051.

    Article  Google Scholar 

  19. Atefe, A., Ghazizadeh, R., & Kalbkhani, H. (2016). Ameliorated resource allocation in two-tier femtocell–macrocell networks with six directional antennas for macrocells. Wireless Personal Communications, 86(3), 1493–1508.

    Article  Google Scholar 

  20. Kosta, C., Imran, A., Quddus, A. U., & Tafazolli, R. (2011). Flexible soft frequency reuse schemes for heterogeneous networks (macrocell and femtocell). In 2011 IEEE 73rd vehicular technology conference (VTC Spring) (pp. 1–5). IEEE.

  21. Shgluof, I., Ismail, M., & Nordin, R. (2018). Deployment challenges and co-tier interference management techniques for ultra-dense femtocell networks. In Space science and communication for sustainability (pp. 239–252).

  22. Kawser, M. T., Islam, M. R., Ahmed, K. I., Karim, M. R., & Saif, J. B. (2015). Efficient resource allocation and sectorization for fractional frequency reuse (FFR) in LTE femtocell systems. Radioengineering, 24(4), 940–947.

    Article  Google Scholar 

  23. Dimitrios, B., Bouras, C., Diles, G., Kokkinos, V., Papazois, A., & Tseliou, G. (2014). A simulation framework for the evaluation of frequency reuse in LTE-A systems. International Journal of Wireless Networks and Broadband Technologies (IJWNBT), 3(2), 56–83.

    Article  Google Scholar 

  24. Meiling, L., Villemaud, G., & Gorce, J.-M. (2015). Generation of 2D correlated random shadowing based on the deterministic MR-FDPF model. EURASIP Journal on Wireless Communications and Networking, 1, 2015.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eman S. Attia.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Attia, E.S., El-Dolil, S.A. & Abd-Elnaby, M. Spectrum Allocation for Enhanced Cross-Tier Interference Mitigation with Throughput Improvement for Femtocells in a Heterogeneous LTE Cellular Network. Wireless Pers Commun 101, 1671–1683 (2018). https://doi.org/10.1007/s11277-018-5783-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-018-5783-5

Keywords

Navigation