[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Springer Nature Link
Log in

Distributed Resource Allocation for Multi-cell Cooperative OFDMA Networks with Decode-and-Forward Relaying

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In this paper, the downlink resource allocation is investigated for multi-cell cellular OFDMA networks with relaying, and a low-complexity distributed scheme is proposed. The target is to maximize the system weighted sum rate as well as provide fair services for each class of users. The problem is formulated as a mixed integer programming with the individual power constraints of the base station and relay station. The iterative multilevel water-filling is exploited in the power allocation in each cell, and different cells interact and cooperative with one another implicitly, which reduces the signal overhead and the computational complexity. Furthermore, subcarrier pairing and grouping are also discussed to enhance the system throughput or reduce the signaling overhead. Simulation results show that the algorithm converges fast, and outperforms some traditional schemes in terms of system throughput, and achieves fair and ubiquitous data coverage for heterogeneous users.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Institutional subscriptions

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

Similar content being viewed by others

Notes

  1. From the limit-theory viewpoint, any variable can be treated as a constant if the time-window is narrow enough.

References

  1. van Nee, R., & de Wild, A. (1998). Reducing the peak-to-average power ratio of OFDM. In Vehicular technology conference, 1998. VTC 98. 48th IEEE (Vol. 3, pp. 2072–2076), 18–21 May 1998.

  2. van Nee, R. D. J. (1996). OFDM codes for peak-to-average power reduction and error correction. In Global telecommunications conference, 1996. GLOBECOM ‘96. Communications: The key to global prosperity (Vol. 1, pp. 740–744), 18 Nov 1996–22 Nov 1996.

  3. Shi, Y., Dong, X., Letaief, K. B., & Mallik, R. K. (2012). Coalition-assisted resource allocation in large amplify-and-forward cooperative networks. IEEE Transactions on Vehicular Technology, 61(4), 1863–1873.

    Article  Google Scholar 

  4. Minayi Jalil, A., Meghdadi, V., & Cances, J.-P. (2013). Diversity analysis of relay assignment in cooperative networks based on sum-rate criterion. IEEE Transactions on Vehicular Technology, 62(7), 3469–3474.

    Article  Google Scholar 

  5. Wu, X., & Xie, L.-L. (2014). A unified relay framework with both D-F and C-F relay nodes. In IEEE transactions on information theory (Vol. 60, Issue 1, pp. 586–604), Jan. 2014.

  6. Oh, E., & Woo, C. (2013). Performance analysis of dynamic channel allocation based on the greedy approach for orthogonal frequency-division multiple access downlink systems. International Journal of Communication Systems (IJCS), 26(7), 912–926.

    Article  Google Scholar 

  7. Boostanimehr, H., Duval, O., Bhargava, V. K., & Gagnon, F. (2012). Selective subcarrier pairing and power allocation for decode-and-forward OFDM relay systems. International Journal of Communication Systems (IJCS), 25(7), 953–961.

    Article  Google Scholar 

  8. Wang, S. W., Huang, F. J., Yuan, M. D., & Du, S. D. (2012). Resource allocation for multiuser cognitive OFDM networks with proportional rate constraints. International Journal of Communication Systems (IJCS), 25(2), 254–269.

    Article  Google Scholar 

  9. Salem, M., Djukic, P., Ma, J., & Hawryluck, M. (2013). QoE-aware joint scheduling of buffered video on demand and best effort flows. In 2013 IEEE 24th international symposium on personal indoor and mobile radio communications (PIMRC) (pp. 1893–1898).

  10. Liang, L., & Feng, G. (2012). A game-theoretic framework for interference coordination in OFDMA relay networks. IEEE Transactions on Vehicular Technology, 61(1), 321–332.

    Article  Google Scholar 

  11. Kaleva, J., Tolli, A., Venkatraman, G., & Juntti, M. (2013). Downlink precoder design for coordinated regenerative multi-user relaying. In IEEE transactions on signal processing (Vol. 61, Issue 5, pp. 1215–1229), March 1, 2013.

  12. Venturino, L., Prasad, N., & Wang, X. (2009). Coordinated scheduling and power allocation in downlink multi-cell OFDMA networks. IEEE Transactions on Vehicular Technology, 58(6), 2835–2848.

    Article  Google Scholar 

  13. Yu, W., & Lui, R. (2006). Dual methods for nonconvex spectrum optimization of multicarrier systems. IEEE Transactions on Communications, 54(7), 1310–1322.

    Article  Google Scholar 

  14. Boyd, S., & Vandenberghe, L. (2004). Convex optimization (pp. 243–272). Cambridge: Cambridge University Press.

    Book  MATH  Google Scholar 

  15. Palomar, D. P., & Chiang, M. (2006). A tutorial on decomposition methods for network utility maximization. IEEE Journal on Selected Areas in Communications, 24(8), 1439–1451.

    Article  Google Scholar 

  16. Farazmand, Y., & Alfa, A. S. (2013). A game theoretic power allocation and relay load balancing in OFDMA-based DF cellular relay networks. In Vehicular technology conference (VTC Fall), 2013 IEEE 78th (pp. 1–6).

  17. Al-Janabi, M. S., Tsimenidis, C. C., Sharif, B. S., & Le Goff, S. Y. (2012). Adaptive resource allocation for single-cell downlink orthogonal frequency division multiple access systems. Science, Measurement & Technology, IET, 6(3), 149–158.

    Article  Google Scholar 

Download references

Acknowledgments

This work is supported by National Natural Science Foundation of China (61571234, 61401225), National Basic Research Program of China (973 Program: 2013CB329005), 863 Program: 2014AA01A705 and Jiangsu Provincial National Science Foundation (BK20140894).

Author information

Authors and Affiliations

  1. Nanjing University of Posts and Telecommunications, Nanjing, 210003, Jiangsu, China

    Linshu Lv, Qi Zhu & Guangjun Liang

Authors
  1. Linshu Lv
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Qi Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Guangjun Liang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Qi Zhu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lv, L., Zhu, Q. & Liang, G. Distributed Resource Allocation for Multi-cell Cooperative OFDMA Networks with Decode-and-Forward Relaying. Wireless Pers Commun 89, 1355–1370 (2016). https://doi.org/10.1007/s11277-016-3324-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-016-3324-7

Keywords

Search

Navigation