Skip to main content
SpringerLink
Log in

Queue-Aware Resource Allocation for Multi-cell OFDMA Systems with QoS Provisioning

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

This paper proposes a queue-aware resource allocation algorithm which provides quality of service (QoS) guarantees. The proposed solution adopts a cross-layer design approach since it is aware of both users’ queue buffer states (data link layer) and channel quality state (physical layer). Main advantages of the proposed resource allocation algorithm are: the low computational complexity and its capacity of maintaining lower QoS violation probability than other multi-cellular schemes. The proposed solution can also result in enhanced cell-edge data rate and improved fairness performance. User minimum data rate and target bit error rate as considered as QoS parameters. Validation of the proposed algorithm is achieved through various simulation scenarios wherein QoS violation probability, system fairness, user average data rate and cell-edge throughput are investigated. Numerical results and complexity analysis demonstrate the efficiency and the feasibility of the proposed QoS-oriented approach.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. E-UTRA and E-UTRAN overall description; stage 2 (release 8). 3GPP technical specification TS 36.300 V8.7.0, December 2008 (Online). Available: http://www.3gpp.org.

  2. Mobile WiMAX-part I: A tecnical overview and, performance evaluation, August 2006.

  3. Tse, D., & Viswanath, P. Fundamentals of wireless communication. Cambridge: Cambridge University Press.

  4. 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 

  5. Li, G., & Liu, H. (2005). On the optimality of the OFDMA network. IEEE Communications Letters, 9, 438–440.

    Article  Google Scholar 

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

    Article  Google Scholar 

  7. Soft frequency reuse scheme for UTRAN LTE. 3GPP project document R1–050 507, May 2005 (online). Available: http://www.3gpp.org.

  8. OFDMA downlink intercell interference mitigation. 3GPP project document R1–060 291, February 2006 (Online). Available: http://www.3gpp.org.

  9. 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 

  10. Fraimis, I. G., Papoutsis, V. D., & Kotsopoulos, S. A. (2010). A decentralized subchannel allocation scheme with inter-cell interference coordination (ICIC) for multi-cell OFDMA systems. In Proceedings of the IEEE global communications conference (Globecom).

  11. Quek, T. Q. S., Lei, Z., & Sun, S. (2009). Adaptive interference coordination in multi-cell OFDMA systems. In Proceedings of the IEEE 20th international symposium on personal, indoor and mobile radio communications (PIMRC).

  12. 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 

  13. Chandrasekhar, V., Andrews, J. G., & Gatherer, A. (2008). Femtocells networks: A survey. IEEE Communications Magazine, 56–59.

  14. Kim, H., & Han, Y. (2005). A proportional fair scheduling for multicrrier transmission systems. IEEE Communications Letters, 9(3), 201–212.

    Article  MathSciNet  Google Scholar 

  15. Liu, E., & Leung, K. (2010). Expected throughput of the proportional fair Scheduling over Rayleigh fading channels. IEEE Communications Letters, 14(6), 515–517.

    Article  Google Scholar 

  16. Jakes, Jr. W. C. Microwave mobile communications. A Wiley-Interscience publication. New York, Chichester, Brisbane, Toronto: Wiley.

  17. Dahlman, E., Ekstrom, H., Furuskar, A., Jading, Y., Karlsson, J., Lundevall, M., et al. (2006). The 3G long-term evolution-radio interface concepts and performance evaluation. In Proceedings of IEEE vehicular technnology conference (VTC).

  18. Jain, R., Chiu, D. M., & Hawe, W. (1984). A quantitave measure of fairness and discriminaton for resource allocation in shared systems. DEC, research report TR-301.

  19. Ramadas, K., & Jain, R. (2007). Mobile WiMAX part I: A technical overview and performance evaluation. WiMAX Forum. http://www.wimaxforum.org/technology/downloads/.

Download references

Author information

Authors and Affiliations

  1. Wireless Telecommunications Laboratory (WTL), Department of Electrical and Computer Engineering, University of Patras, 26500 , Rio, Greece

    Ioannis G. Fraimis & Stavros A. Kotsopoulos

Authors
  1. Ioannis G. Fraimis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Stavros A. Kotsopoulos
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ioannis G. Fraimis.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Fraimis, I.G., Kotsopoulos, S.A. Queue-Aware Resource Allocation for Multi-cell OFDMA Systems with QoS Provisioning. Wireless Pers Commun 71, 3033–3044 (2013). https://doi.org/10.1007/s11277-012-0988-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-012-0988-5

Keywords

Search

Navigation