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Maximum Achievement Rate Allocation Algorithm for Downlink Multi-User OFDMA Systems

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Abstract

In multi-user OFDMA systems, adaptive resource allocation has been identified as one of the key technologies to have more flexibility and higher efficiency. Several adaptive subcarrier allocation algorithms with the objective to maximize spectral efficiency or fairness have been proposed. However, quality of service (QoS) requirement of each user may not be supported. Some algorithms considering user’s QoS requirement have been introduced, but they do not consider the case that every user’s QoS requirement cannot be guaranteed with limited resources. In this paper, we propose a maximum achievement rate allocation (MARA) algorithm as a new adaptive resource allocation algorithm. The proposed MARA algorithm has a goal to improve overall throughput while maximizing achievement rate, i.e., maximize the number of users meeting QoS requirements. In addition, we investigate that MARA is more effective when fractional frequency reuse (FFR) is adopted as a frequency partitioning scheme. Simulation results show that the MARA algorithm improves the achievement rate as well as overall throughput. Moreover, further performance gains are achieved when FFR is adopted.

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References

  1. Schulze H., Lueders C. (2005) Theory and applications of OFDM and CDMA: Wideband wireless communications. Wiley, New York

    Book  Google Scholar 

  2. Vizireanu D. N., Halunga S. V. (2012) Simple, fast and accurate eight points amplitude estimation method of sinusoidal signals for dsp based instrumentation. Journal of Instrumentation 7(04001): 1–11

    Google Scholar 

  3. Vizireanu D. N. (2011) A simple and precise real-time four point single sinusoid signals instantaneous frequency estimation method for portable DSP based instrumentation. Measurement 44(2): 500–502

    Article  Google Scholar 

  4. Biagioni A., Fantacci R., Marabissi D., Tarchi D. (2009) Adaptive subcarrier allocation schemes for wireless OFDMA systems in WiMAX networks. IEEE Journal on Selected Areas in Communications 27(2): 217–225

    Article  Google Scholar 

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

    Article  Google Scholar 

  6. Song G., Li Y. G. (2005) Cross-layer optimization for OFDM wireless networks—part I: Theoretical framework. IEEE Transactions on Wireless Communications 4(2): 614–624

    Article  MathSciNet  Google Scholar 

  7. Jang J., Lee K. B. (2003) Transmit power adaptation for multiuser OFDM systems. IEEE Journal on Selected Areas in Communications 21(2): 171–178

    Article  Google Scholar 

  8. Xu, W, Zhao, C., Zhou, P., & Yang, Y. (2007). Efficient adaptive resource allocation for multiuser OFDM systems with minimum rate constraints. In IEEE International Conference on Communications (pp. 5126–5131).

  9. Zhang Y. J., Letaief K. B. (2004) Multiuser adaptive subcarrier-and-bit allocation with adaptive cell selection for OFDM systems. IEEE Transactions on Wireless Communications 3(5): 1566–1575

    Article  Google Scholar 

  10. Lee, J., Yoon, D., Jeong, W. J., Cha, K., Kim, E., Park, S. K. et al. (2007). Efficient subcarrier allocation for stable services in multi-user OFDM systems. In IST mobile and wireless communications summit (pp. 1–4).

  11. Wang X., Giannaki G. B. (2011) Resource allocation for wireless multiuser OFDM networks. IEEE Transactions on Information Theory 57(7): 4359–4372

    Article  Google Scholar 

  12. Sesia S., Toufik I., Baker M. (2009) LTE-the UMTS long term evolution. Wiley, New York

    Book  Google Scholar 

  13. Dahlman, E., Parkvall, S., Skold, J., & Beming, P. (2007). 3G evolution: HSPA and LTE for mobile broadband. Academic Press: Oxford.

  14. Kwan, R., Leung, C., & Zhang, J. (2009). Resource allocation in an LTE cellular communication system. In IEEE International Conference on Communications (ICC) (pp. 1–5).

  15. Chung S. T., Goldsmith A. J. (2001) Degrees of freedom in adaptive modulation: A unified view. IEEE Transactions on Communications 49(9): 1561–1571

    Article  MATH  Google Scholar 

  16. Goldsmith A. J., Varaiya P. P. (1997) Capacity of fading channels with channel side information. IEEE Transactions on Information Theory 43(6): 1986–1992

    Article  MathSciNet  MATH  Google Scholar 

  17. Choi J. G., Bahk S. (2007) Cell-throughput analysis of the proportional fair scheduler in the single-cell environment. IEEE Transactions on Vehicular Technology 56(2): 766–778

    Article  Google Scholar 

  18. Rhee, W., & Cioffi, J. M., (2000). Increase in capacity of multiuser OFDM system using dynamic subchannel allocation. In IEEE vehicular technology conference (pp. 1085–1089).

  19. 3GPP, Huawei. (2005). Soft frequency reuse scheme for UTRAN LTE. R1-050507

  20. Baum, D. S., Hansen, J., & Salo, J. (2005). An interim channel model for beyond-3G systems: Extending the 3GPP spatial channel model (SCM). In IEEE vehicular technology conference (pp. 3132–3136).

  21. 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 

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Correspondence to Tae-Jin Lee.

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Cho, TK., Oh, CY. & Lee, TJ. Maximum Achievement Rate Allocation Algorithm for Downlink Multi-User OFDMA Systems. Wireless Pers Commun 70, 1425–1442 (2013). https://doi.org/10.1007/s11277-012-0757-5

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  • DOI: https://doi.org/10.1007/s11277-012-0757-5

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