http://iet.metastore.ingenta.com
1887

Energy-efficient user grouping algorithms for power minimisation in multi-carrier code division multiple access systems

Energy-efficient user grouping algorithms for power minimisation in multi-carrier code division multiple access systems

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Energy efficiency has become increasingly important in wireless communications nowadays. Saving energy will not only reduce operating cost but also reduces greenhouse gas emissions, which is important for combating climate change. The authors propose energy-efficient user grouping algorithms to provide power minimisation of grouped multi-carrier code division multiple access (MC-CDMA) and space–time block coding MC-CDMA systems in a cellular environment. Depending on the channel fading conditions, power control is utilised to minimise the total transmitted power under a bit error rate constraint. When the allocation is performed without a fair data rate requirement, the authors provide the optimal solution to the minimisation problem. However, when some fairness is considered, the optimal solution requires high computational complexity. Thus, the authors solve the problem by proposing two suboptimal algorithms. Simulation results illustrate a significantly reduced power consumption in comparison with other techniques.

References

    1. 1)
      • Yee, N., Linnartz, J.-P., Fettweis, G.: `Multicarrier CDMA in indoor wireless radio networks', Proc. IEEE PIMRC, September 1993, p. 109–113.
    2. 2)
      • Fazel, K., Papke, L.: `On the performance of convolutionally-coded CDMA/OFDM for mobile communication system', Proc. IEEE PIMRC, September 1993, p. 468–472.
    3. 3)
      • Chouly, A., Brajal, A., Jourdan, S.: `Orthogonal multicarrier techniques applied to direct sequence spread spectrum CDMA systems', Proc. IEEE GLOBECOM, November 1993, p. 1723–1728.
    4. 4)
      • Nir, V.L., Helard, M., Gouable, R.L.: `Space–time block coding applied to turbo coded multicarrier CDMA', Proc. IEEE VTC Spring, April 2003, p. 577–581.
    5. 5)
    6. 6)
      • Zhihua, H., Dubey, V.: `Performance analysis for downlink MC-CDMA systems with space–time block codes in frequency-selective Rayleigh fading channels', Proc. ICICS-PMC, December 2003, p. 658–662.
    7. 7)
      • Portier, F., Baudars, J., Helard, J.: `Performance of STBC MC-CDMA systems over outdoor realistic MIMO channels', Proc. IEEE VTC Fall, September 2004, p. 2409–2413.
    8. 8)
    9. 9)
    10. 10)
      • Li, C., Wang, X.: `Adaptive subchannel allocation in multiuser MC-CDMA systems', Proc. IEEE GLOBECOM, December 2004, p. 2503–2507.
    11. 11)
    12. 12)
      • Akbari, A., Hoshyar, R., Tafazolli, R.: `Energy-efficient resource allocation in wireless OFDMA systems', Proc. IEEE PIMRC, September 2010, p. 1731–1735.
    13. 13)
      • Miao, G.W., Himayat, N., Li, G.Y., Bormann, D.: `Energy-efficient design in wireless OFDMA', Proc. IEEE ICC, May 2008, p. 3307–3312.
    14. 14)
    15. 15)
      • Huang, J., Niu, J.: `A fairness-based and adaptive user grouping and subcarrier allocation algorithm for grouped MC-CDMA systems', Proc. IEEE GLOBECOM, November 2006, p. 1–5.
    16. 16)
      • Wang, Y., Shen, J., Zhang, P., Liu, S., Liu, Y.: `Optimized power control and resource allocation in grouped MC-CDMA systems', Proc. IEEE ICC, May 2008, p. 4785–4789.
    17. 17)
    18. 18)
    19. 19)
      • J.G. Proakis . (1995) Digital communications.
    20. 20)
      • 3rd Generation Partnership Project (3GPP); Technical specification group radio access network; Radio transmission and reception (Release 7).
    21. 21)
      • A. Goldsmith . (2005) Wireless communications.
    22. 22)
      • Fehske, A., Richter, F., Fettweis, G.: `Energy efficiency improvements through micro sites in cellular mobile radio networks', Proc. Second Workshop on Green Communications, 2009.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2011.0116
Loading

Related content

content/journals/10.1049/iet-com.2011.0116
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address