Skip to main content
Log in

An improved water-filling algorithm based on power allocation in network MIMO

  • Published:
Telecommunication Systems Aims and scope Submit manuscript

Abstract

Inter-Cell Interference (ICI) could affect the performance of the LTE-Advanced (LTE-A) system and can be evaluated according to the user’s Signal to Interference and Noise Ratio (SINR). Owing to this, the power and frequency allocation schemes can be utilized in order to attain an optimum trade-off within the obtained SINR and the resulting interference. In this study, power allocation was integrated into the Dynamic Fractional Frequency Reuse (DFFR) scheme and Network MIMO (NetMIMO) to reduce ICI and enhance the performance of LTE-A downlink. Moreover, this study focuses on the design and development of a novel power allocation algorithm, which is an extension to the previous Improved Water-Filling algorithm (IWF), namely, Low-Complexity Improved Water-Filling algorithm (LC-IWF). Results indicated a reduction in computations and enhancement in interference rejection performance in comparison to the existing algorithms by removing the Lagrange multiplier and water level. Moreover, simulation results revealed that the proposed algorithm enhances the throughput and fairness of up to 20% and 25%, respectively. Furthermore, the power consumption was reduced by 41% and the running time was 5–10 times faster than the IWF algorithm while attaining the best solution. The proposed power allocation algorithm provided a significant improvement in the performance of the NetMIMO LTE-A system, which can be extended for future 5G networks.

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
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Gesbert, D., Hanly, S., Huang, H., Shamai Shitz, S., Simeone, O., & Yu, W. (2010). Multi-cell MIMO cooperative networks: A new look at interference. IEEE Journal on Selected Areas in Communications, 28(9), 1380–1408. https://doi.org/10.1109/jsac.2010.101202.

    Article  Google Scholar 

  2. Gupta, A., & Jha, R. K. (2015). A survey of 5G network: Architecture and emerging technologies. IEEE Access, 3, 1206–1232. https://doi.org/10.1109/ACCESS.2015.2461602.

    Article  Google Scholar 

  3. Johal, M. S., Markarian, G., Isa, A. A. M., & Dasril, Y. (2017). Content-aware radio resource management for IMT-advanced. Journal of Telecommunication, Electronic and Computer Engineering, 9(2), 125–131.

    Google Scholar 

  4. Ismail, M. K., Isa, A. A. M., & Johal, M. S. (2015). Review of radio resource management for IMT-advanced system. Jurnal Teknologi, 72(4), 113–119. https://doi.org/10.11113/jt.v72.3925.

    Article  Google Scholar 

  5. Elayoubi, S., BenHaddada, O., & Fouresti, B. (2008). Performance evaluation of frequency planning schemes in OFDMA-based networks. IEEE Transactions on Wireless Communications, 7(5), 1623–1633. https://doi.org/10.1109/twc.2008.060458.

    Article  Google Scholar 

  6. El-tantawy, M. M. M., Dahab, M. A., & El-badawy, H. (2010). Performance evaluation of frequency reuse schemes in LTE based network (pp. 1–4).

  7. Novlan, T. D., Member, S. S. S. S., Ganti, R. K., Ghosh, A., & Andrews, J. G. (2012). Analytical evaluation of fractional frequency reuse for OFDMA cellular networks. IEEE Transactions on Wireless Communications, 10(12), 4294–4305. https://doi.org/10.1109/TWC.2011.100611.110181.

    Article  Google Scholar 

  8. Chang, R. Y., Tao, Z., Zhang, J., & Kuo, C. J. (2013). Dynamic fractional frequency reuse (D-FFR) for multicell OFDMA networks using a graph framework. Wireless Communications and Mobile Computing, 13, 12–27. https://doi.org/10.1002/wcm.1088.

    Article  Google Scholar 

  9. 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. https://doi.org/10.1109/TWC.2009.081146.

    Article  Google Scholar 

  10. Mangayarkarasi, P., & Ramya, M. (2012) Analysis of various power allocation algorithms for wireless networks. In International conference on communication and signal processing IEEE (pp. 133–136). https://doi.org/10.1109/iccsp.2012.6208409

  11. Noor Shahida, M. K., Nordin, R., & Ismail, M. (2016). Power allocation for dynamic fractional frequency reuse (DFFR) in downlink LTE-A system. In 21st Asia-Pacific Conf. Commun. APCC 2015 (pp. 12–16). https://doi.org/10.1109/apcc.2015.7412494

  12. Zhang, J., Chen, R., Andrews, J. G., Ghosh, A., & Heath, R. W. (2009). Networked MIMO with clustered linear precoding. IEEE Transactions on Wireless Communications, 8(4), 1910–1921. https://doi.org/10.1109/TWC.2009.080180.

    Article  Google Scholar 

  13. Noor Shahida, M. K., Nordin, R., & Ismail, M. (2016). Dynamic fractional frequency reuse based on an improved water-filling for network MIMO. Transactions on Internet and Information Systems, 10(5), 2124–2143.

    Google Scholar 

  14. Thampi, A., Armour, S., Fan, Z., & Kaleshi, D. (2014). Clustered network MIMO and fractional frequency reuse for the downlink in LTE-A systems. In European Wireless 2014; 20th European Wireless Conference (pp. 802–807).

  15. Xu, L., Yamamoto, K., Murata, H., & Yoshida, S. (2010). Cell edge capacity improvement by using adaptive base station cooperation in cellular networks with fractional frequency reuse. IEICE Transaction Communications, E93(7), 1912–1918. https://doi.org/10.1587/transcom.E93.B.1912.

    Article  Google Scholar 

  16. Li, J., Botella, C., & Svensson, T. (2012). Resource allocation for clustered network MIMO OFDMA systems. EURASIP Journal Wireless Communication Networks, 2012(1), 175.

    Article  Google Scholar 

  17. Wang, L. C., & Yeh, C. J. (2011). 3-cell network MIMO architectures with sectorization and fractional frequency reuse. IEEE Journal on Selected Areas in Communications, 29(6), 1185–1199. https://doi.org/10.1109/JSAC.2011.110607.

    Article  Google Scholar 

  18. Jiang, C., & Cimini, L. J. (2013). Energy-efficient transmission for MIMO interference channels. IEEE Transactions on Wireless Communications, 12(6), 2988–2999. https://doi.org/10.1109/TWC.2013.050713.121409.

    Article  Google Scholar 

  19. Ge, X., Chen, J., Wang, C.-X., Thompson, J., & Zhang, J. (2016). 5G Green cellular networks considering power allocation schemes. Science China Information Sciences, 59(2), 1–14. https://doi.org/10.1007/s11432-015-5502-8.

    Article  Google Scholar 

  20. Katiran, N., Fisal, N., & Ghafar, A. S. A. (2014). Resource allocation in network MIMO using particle swarm optimization. International Journal for Innovative Research in Multidisciplinary Physics Science, 2(6), 1.

    Google Scholar 

  21. Li, Q. C., Hu, R. Q., Xu, Y., & Qian, Y. (2013). Optimal fractional frequency reuse and power control in the heterogeneous wireless networks. IEEE Transactions on Wireless Communications, 12(6), 2658–2668. https://doi.org/10.1109/TWC.2013.050313.120160.

    Article  Google Scholar 

  22. GPP TR 36.912 V9.1.0. (2010). LTE; Feasibility study for Further Advancements for E-UTRA (LTE-Advanced) (3GPP TR 36.912 version 10.0.0 Release 10) (pp 1–62,).

  23. GPP TR 36.913. (2012). 3GPP TR 36.913 Requirements for further advancements for Evolved Universal Terrestrial Radio Access (E-UTRA) (LTE-Advanced) (Release 11) (pp. 1–16).

  24. Baktash, E., Rasti, M., & Hossain, E. (2015). Resource allocation for dynamic intra-cell subcarrier reuse in cooperative OFDMA wireless networks. IEEE Transactions on Mobile Computing, 14(7), 1475–1489. https://doi.org/10.1109/TMC.2014.2359669.

    Article  Google Scholar 

  25. Sun, C., Shu, J., Zheng, W., Yang, Z. & Wang, X. (2015). Adaptive partial frequency reuse in LTE Advanced relay networks. In 2015 IEEE 34th International Performance Computing and Communications Conference (IPCCC). https://doi.org/10.1109/pccc.2015.7410309

  26. Abd-Elnaby, M., Mohamed, A. S., & 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. https://doi.org/10.1049/iet-com.2015.0859.

    Article  Google Scholar 

  27. Otao, N., Kishiyama, Y., Higuchi, K. (2012) Performance of non-orthogonal access with SIC in cellular downlink using proportional fair-based resource allocation. In Proceedings of the International Symposium on Wireless Communications Systems, Paris, France (pp. 476–480). August 28–31, 2012.

  28. Parida, P., Das, S. S. (2014) Power allocation in OFDM based NOMA systems: A DC programming approach. In Proceedings of the IEEE GLOBECOM workshops, Austin, TX, USA (pp. 1026–1031). December 8–12, 2014.

  29. Chen, Zhangliang, & Liang, Qilian. (2019). Power allocation in 5G wireless communication. IEEE Access, 7, 60785–60792.

    Article  Google Scholar 

  30. Luo, X. T., Li, H., Bai, Y. R., Wei, S. L. (2019) Research on power allocation algorithm in non-orthogonal multiple access systems. In 14th IEEE conference on industrial electronics and applications (ICIEA)

  31. Saraereh, Omar A., Alsaraira, Amer, Khan, Imran, & Uthansakul, Peerapong. (2019). An efficient resource allocation algorithm for OFDM-based NOMA in 5G systems. Electronics, 8(12), 1–14.

    Article  Google Scholar 

  32. Xu, C., Mayekar, U., Mohile, M., & Communications, A. (1997). Frequency reuse factor vs. pathloss exponent and sectorization. Wireless Applications Digest, IEEE MTT-S Symposium on Technogies, 3, 109–112. https://doi.org/10.1109/MTTTWA.1997.595122.

    Article  Google Scholar 

  33. GPP TR 36.897 V1.0.0. (2015). Study on elevation beamforming/full-dimension (FD) MIMO for LTE (release 13) (pp. 1–57).

Download references

Acknowledgements

The authors would like to thank the Centre for Telecommunication Research and Innovation, Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka for the Ph.D. scholarship that contributes towards the methodology and findings in this research study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. K. Noor Shahida.

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

Noor Shahida, M.K., Nordin, R. & Ismail, M. An improved water-filling algorithm based on power allocation in network MIMO. Telecommun Syst 75, 447–460 (2020). https://doi.org/10.1007/s11235-020-00695-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11235-020-00695-5

Keywords

Navigation