Skip to main content

Frequency Saving OFDMA Resource Allocation with QoS Provision

  • Conference paper
Wireless Internet (WICON 2011)

Abstract

With the increasing wireless communication demands, frequency spectrum has become more and more limited and expensive. This paper proposes a novel optimization objective: minimizing the required frequency resource, on the premise that both the power constraints and users’ quality of service (QoS) demands can be met. With the frequency saving objective, the primary system can release the unnecessary frequencies for other applications, such as subordinate or cognitive networks. In this paper, we formulate the number of subcarriers minimization problem for both uplink and downlink OFDMA-based networks, which is a mixed NP-hard problem. For the downlink case, we propose an efficient near-optimal algorithm to solve the problem. For the uplink case, we derive low complexity greedy algorithms to obtain tight lower bound and upper bound. Simulation results show that our algorithms can significantly save the system’s frequency resource.

This work was supported in part by the National Science Foundation of USA (#1032567) and in part by the National Science Foundation of China (#61001146) and (#60702020).

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Haykin, S.: Cognitive radio: brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications 23, 201–220 (2005)

    Article  Google Scholar 

  2. Sadr, S., Anpalagan, A., Raahemifar, K.: Radio resource allocation algorithms for the downlink of multiuser OFDM Communication Systems. IEEE Communications Survey & Tutorials 11, 92–105 (2009)

    Article  Google Scholar 

  3. Bohge, M., Gross, J., Wolisz, A., Meyer, M.: Dynamic resource allocation in OFDM systems: an overview of cross-layer optimization principles and techniques. IEEE Network 21, 53–59 (2007)

    Article  Google Scholar 

  4. Li, H.X., Liu, B., Liu, H.: Transmission schemes for multicarrier broadcast and unicast hybrid systems. IEEE Transaction on Wireless Communications 7, 4321–4330 (2008)

    Article  Google Scholar 

  5. Huang, K.B., Lau, V.K.N., Chen, Y.: Spectrum Sharing between Cellular and Mobile Ad Hoc Networks: Transmission-Capacity Trade-Off. IEEE Journal on Selected Areas in Communications 27, 1256–1267 (2009)

    Article  Google Scholar 

  6. Li, H.X., Ru, G.Y., Kim, Y., Liu, H.: OFDMA capacity analysis in MIMO channels. IEEE Transactions on Information Theory 56, 4438–4446 (2010)

    Article  Google Scholar 

  7. Attar, A., Nakhai, M.R., Aghvami, A.H.: Cognitive radio game for secondary spectrum access problem. IEEE Transactions on Wireless Communications 8, 2121–2131 (2009)

    Article  Google Scholar 

  8. Bazerque, J.A., Giannakis, G.B.: Distributed scheduling and resource allocation for cognitive OFDMA radios. Mobile Networks & Applications 13, 452–462 (2008)

    Article  Google Scholar 

  9. Pinedo, M.L.: Scheduling: theory, algorithms, and systems. Springer Press, NewYork (2008)

    MATH  Google Scholar 

  10. Yu, W., Rhee, W., Boyd, S., Cioffi, J.: Iterative water-filling for Gaussian vector multiple access channels. In: IEEE International Symposium on Information Theory, p. 322 (2001)

    Google Scholar 

  11. Lin, Y.B., Chiu, T.H., Su, Y.T.: Optimal and near-optimal resource allocation algorithms for OFDMA networks. IEEE Transaction on Wireless Communications 8, 4066–4077 (2009)

    Article  Google Scholar 

  12. Ma, Y., Kim, D.: Rate-maximization scheduling schemes for uplink OFDMA. IEEE Transaction on Wireless Communications 8, 3193–3204 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Ru, G., Li, H., Lu, Y., Cheng, Y., Lin, W. (2012). Frequency Saving OFDMA Resource Allocation with QoS Provision. In: Ren, P., Zhang, C., Liu, X., Liu, P., Ci, S. (eds) Wireless Internet. WICON 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 98. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30493-4_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-30493-4_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30492-7

  • Online ISBN: 978-3-642-30493-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics