Skip to main content
SpringerLink
Log in

Energy-Efficient Resource Allocation in CR Systems

  • Chapter
  • First Online:
Cognitive Radio Networks

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

  • 558 Accesses

Abstract

With the explosive growing demands for high data-rate wireless services, the energy consumption is also increasing at an alarming rate nowadays. Consequently, it leads to a large amount of greenhouse gas and high operation expenditure for wireless service providers. Recently, green radio is becoming increasingly important and navigates new directions for research activities, with emphasis on the energy-efficiency (EE) in wireless systems. An overview of the EE concerned in wireless communications is surveyed in, which recommends the technical roadmaps of several major international projects for energy-efficient wireless networks and investigates the state-of-the-art research on this topic. Particularly, energy-efficient RA has been put on the agenda in both industry and academia, especially for the OFDM-based systems. Different from the two conventional classes of dynamic RA in OFDM systems—rate adaptive and margin adaptive, energy-efficient RA is a special case where the objective is generally to maximize or minimize a certain metric of EE for a wireless system. The most popular one is called “bits-per-Joule”, defined as the system throughput with unit power consumption.

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

Access this chapter

Log in via an institution
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 EPUB and 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

Notes

  1. 1.

    Note that the upper bound cannot be a feasible solution because the relaxed form of the original problem ignores the integer constraints.

References

  1. C. Han, T. Harrold, and et al., “Green radio: radio techniques to enable energy-efficient wireless networks,” IEEE Commun. Mag., vol. 49, no. 6, pp. 46–54, June 2011.

    Google Scholar 

  2. D. Feng, C. Jiang, G. Lim, L. Cimini, G. Feng, and G. Li, “A survey of energy-efficient wireless communications,” IEEE Commun. Surv. & Tutor., vol. 15, no. 1, pp. 167–178, 2013.

    Google Scholar 

  3. Y. Chen, S. Zhang, S. Xu, and G. Li, “Fundamental trade-offs on green wireless networks,” IEEE Commun. Mag., vol. 49, no. 6, pp. 30–37, June 2011.

    Google Scholar 

  4. S. Sadr, A. Anpalagan, and K. Raahemifar, “Radio resource allocation algorithms for the downlink of multiuser OFDM communication systems,” IEEE Commun. Surv. & Tutor., vol. 1, no. 3, pp. 92–106, Sep. 2009.

    Google Scholar 

  5. C. Isheden and G. P. Fettweis, “Energy-efficient multi-carrier link adaptation with sum rate-dependent circuit power,” in Proc. IEEE Global Telecommun. Conf., Dec. 2010.

    Google Scholar 

  6. O. Arnold, F. Richter, G. P. Fettweis, and O. Blume, “Power consumption modeling of different base station types in heterogeneous cellular networks,” in Proc. 19th Future Network & Mobile Summit, June 2010.

    Google Scholar 

  7. T. M. Cover and J. A. Thomas, Elements of Information Theory. New York: Wiley, 1991.

    Google Scholar 

  8. A. J. Goldsmith and S.-G. Chua, “Variable-rate variable-power MQAM for fading channels,” IEEE Trans. Commun., vol. 45, no. 10, pp. 1218–1230, Oct. 1997.

    Google Scholar 

  9. P. Setoodeh and S. Haykin, “Robust transmit power control for cognitive radio,” Proc. IEEE, vol. 97, no. 5, pp. 915–939, May 2009.

    Google Scholar 

  10. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge University Press, 2004.

    Google Scholar 

  11. C. D. Meyer, Matrix Analysis & Applied Linear Algebra. SIAM Press, 2000.

    Google Scholar 

  12. S. Wang, M. Ge, W. Zhao, “Energy-Efficient Resource Allocation for OFDM-Based Cognitive Radio Networks,” IEEE Trans. Commun., vol. 61, no. 8, pp. 3181–3191, Aug. 2013.

    Google Scholar 

  13. W. Yu and J. Cioffi, “FDMA capacity of Gaussian multiple-access channels with ISI,” IEEE Trans. Commun., vol. 50, no. 1, pp. 102–111, Jan. 2002.

    Google Scholar 

  14. S. Wang, “Efficient resource allocation algorithm for cognitive OFDM systems,” IEEE Commun. Lett., vol. 14, no. 8, pp. 725–727, Aug. 2010.

    Google Scholar 

  15. Y, Wang, W, Xu, K. Yang, J. Lin, “Optimal Energy-Efficient Power Allocation for OFDM-Based Cognitive Radio Networks,” IEEE Commun. Lett., vol. 16, no. 9, pp. 1420–1423, Sep. 2012.

    Google Scholar 

  16. W. Dinkelbach, “On nonlinear fractional programming,” Management Science, vol. 13, no. 7, pp. 492–498, 1967.

    Google Scholar 

  17. W. Shi and S. Wang, “Energy-Efficient Resource Allocation in Cognitive Radio Systems, ”in Proc. IEEE WCNC’13, pp. 4531–4536, Apr. 2013.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Nanjing University, Nanjing, Jiangsu, China

    Shaowei Wang

Authors
  1. Shaowei Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shaowei Wang .

Rights and permissions

Reprints and permissions

Copyright information

© 2014 The Author(s)

About this chapter

Cite this chapter

Wang, S. (2014). Energy-Efficient Resource Allocation in CR Systems. In: Cognitive Radio Networks. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-08936-2_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-08936-2_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08935-5

  • Online ISBN: 978-3-319-08936-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation