Skip to main content
Top
Published in: Wireless Personal Communications 4/2013

01-10-2013

On the Impacts of Channel Estimation Errors and Feedback Delay on the Ergodic Capacity for Spectrum Sharing Cognitive Radio

Authors: Ding Xu, Zhiyong Feng, Ping Zhang

Published in: Wireless Personal Communications | Issue 4/2013

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Spectrum sharing cognitive radio aims to improve the spectrum efficiency via sharing the spectrum band licensed to the primary user (PU) with the secondary user (SU) concurrently provided that the interference caused by the SU to the PU is limited. The channel state information (CSI) between the secondary transmitter (STx) and the primary receiver (PRx) is used by the STx to calculate the appropriate transmit power to limit the interference. We assume that this CSI is not only having channel estimation errors but also outdated due to feedback delay, which is different from existing studies. We derive closed-form expressions for the ergodic capacities of the SU with this imperfect CSI under the average interference power (AIP) constraint and the peak interference power (PIP) constraint. Illustrative results are presented to show the effects of the imperfect CSI. It is shown that the ergodic capacity of the SU is robust to the channel estimation errors and feedback delay under high feedback delay. It is also shown that decreasing the distance between STx and secondary receiver (SRx) or increasing the distance between STx and PRx can mitigate the impact of the imperfect CSI and significantly increase the ergodic capacity of the SU.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Footnotes
1
For Jakes’ [17] model, the channel recorrelates after it becomes uncorrelated and the highest \(|\rho |\) is equal to 0.4. However, in Sects. 3 and 4, we show that the ergodic capacity of the SU depends on \(\rho ^{2}\), and in Sect. 5, we show that for \(0\le \rho \le 0.4\), the ergodic capacity of the SU changes negligibly. Therefore, similar to most of existing studies [18], we assume once \(\rho \) is equal to zero, \(\rho \) remains zero at all higher \(\tau \) and \(0\le \rho \le 1\).
 
Literature
1.
go back to reference Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201–220.CrossRef Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201–220.CrossRef
2.
go back to reference Zhang, R. (2009). On peak versus average interference power constraints for protecting primary users in cognitive radio networks. IEEE Transactions on Wireless Communications, 8(4), 2112–2120.CrossRef Zhang, R. (2009). On peak versus average interference power constraints for protecting primary users in cognitive radio networks. IEEE Transactions on Wireless Communications, 8(4), 2112–2120.CrossRef
3.
go back to reference Gastpar, M. (2004). On capacity under received-signal constraints. Communication, Control Comput: In Annual Allerton Conf. Gastpar, M. (2004). On capacity under received-signal constraints. Communication, Control Comput: In Annual Allerton Conf.
4.
go back to reference Ghasemi, A., & Sousa, E. (2007). Fundamental limits of spectrum-sharing in fading environments. IEEE Transactions on Wireless Communications, 6(2), 649–658.CrossRef Ghasemi, A., & Sousa, E. (2007). Fundamental limits of spectrum-sharing in fading environments. IEEE Transactions on Wireless Communications, 6(2), 649–658.CrossRef
5.
go back to reference Musavian, L., & Aissa, S. (2009). Capacity and power allocation for spectrum-sharing communications in fading channels. IEEE Transactions on Wireless Communications, 8(1), 148–156.CrossRef Musavian, L., & Aissa, S. (2009). Capacity and power allocation for spectrum-sharing communications in fading channels. IEEE Transactions on Wireless Communications, 8(1), 148–156.CrossRef
6.
go back to reference Musavian, L., & Aissa, S. (2010). Effective capacity of delay-constrained cognitive radio in nakagami fading channels. IEEE Transactions on Wireless Communications, 9(3), 1054–1062.CrossRef Musavian, L., & Aissa, S. (2010). Effective capacity of delay-constrained cognitive radio in nakagami fading channels. IEEE Transactions on Wireless Communications, 9(3), 1054–1062.CrossRef
7.
go back to reference Medard, M. (2000). The effect upon channel capacity in wireless communications of perfect and imperfect knowledge of the channel. IEEE Transactions on Information Theory, 46(3), 933–946.CrossRefMATH Medard, M. (2000). The effect upon channel capacity in wireless communications of perfect and imperfect knowledge of the channel. IEEE Transactions on Information Theory, 46(3), 933–946.CrossRefMATH
8.
go back to reference Musavian, L., & Aissa, S. (2009). Fundamental capacity limits of cognitive radio in fading environments with imperfect channel information. IEEE Transactions on Communications, 57(11), 3472–3480.CrossRef Musavian, L., & Aissa, S. (2009). Fundamental capacity limits of cognitive radio in fading environments with imperfect channel information. IEEE Transactions on Communications, 57(11), 3472–3480.CrossRef
9.
go back to reference Duan, R., Jantti, R., Elmusrati, M., & Virrankoski, R. (2010). Capacity for spectrum sharing cognitive radios with MRC diversity and imperfect channel information from primary user. In IEEE Global Communications Conference (GLOBECOM). Duan, R., Jantti, R., Elmusrati, M., & Virrankoski, R. (2010). Capacity for spectrum sharing cognitive radios with MRC diversity and imperfect channel information from primary user. In IEEE Global Communications Conference (GLOBECOM).
10.
go back to reference Sboui, L., Rezki, Z., & Alouini, M. (2013). A unified framework for the ergodic capacity of spectrum sharing cognitive radio systems. IEEE Transactions on Wireless Communications to be published. Sboui, L., Rezki, Z., & Alouini, M. (2013). A unified framework for the ergodic capacity of spectrum sharing cognitive radio systems. IEEE Transactions on Wireless Communications to be published.
11.
go back to reference Suraweera, H. A., Smith, P. J., & Shafi, M. (2010). Capacity limits and performance analysis of cognitive radio with imperfect channel knowledge. IEEE Transactions on Vehicular Technology, 59(4), 1811–1822.CrossRef Suraweera, H. A., Smith, P. J., & Shafi, M. (2010). Capacity limits and performance analysis of cognitive radio with imperfect channel knowledge. IEEE Transactions on Vehicular Technology, 59(4), 1811–1822.CrossRef
12.
go back to reference Kim, H., Wang, H., Lim, S., & Hong, D. (2012). On the impact of outdated channel information on the capacity of secondary user in spectrum sharing environments. IEEE Transactions on Wireless Communications, 11(1), 284–295.CrossRef Kim, H., Wang, H., Lim, S., & Hong, D. (2012). On the impact of outdated channel information on the capacity of secondary user in spectrum sharing environments. IEEE Transactions on Wireless Communications, 11(1), 284–295.CrossRef
13.
go back to reference Xu, D., Feng, Z., & Zhang, P. (2013). Effective capacity of delay quality-of-service constrained spectrum sharing cognitive radio with outdated channel feedback. Science China Information Sciences. doi:10.1007/s11432-013-4805-x. Xu, D., Feng, Z., & Zhang, P. (2013). Effective capacity of delay quality-of-service constrained spectrum sharing cognitive radio with outdated channel feedback. Science China Information Sciences. doi:10.​1007/​s11432-013-4805-x.
14.
go back to reference Chen, J., Si, J., Li, Z., & Huang, H. (2012). On the performance of spectrum sharing cognitive relay networks with imperfect CSI. IEEE Communications Letters, 16(7), 1002–1005.CrossRef Chen, J., Si, J., Li, Z., & Huang, H. (2012). On the performance of spectrum sharing cognitive relay networks with imperfect CSI. IEEE Communications Letters, 16(7), 1002–1005.CrossRef
15.
go back to reference Peha, J. (2005). Approaches to spectrum sharing. IEEE Communications Magazine, 43(2), 10–12.CrossRef Peha, J. (2005). Approaches to spectrum sharing. IEEE Communications Magazine, 43(2), 10–12.CrossRef
16.
go back to reference Kang, X., Garg, H., Liang, Y.-C., & Zhang, R. (2010). Optimal power allocation for OFDM-based cognitive radio with new primary transmission protection criteria. IEEE Transactions on Wireless Communications, 9(6), 2066–2075.CrossRef Kang, X., Garg, H., Liang, Y.-C., & Zhang, R. (2010). Optimal power allocation for OFDM-based cognitive radio with new primary transmission protection criteria. IEEE Transactions on Wireless Communications, 9(6), 2066–2075.CrossRef
17.
go back to reference Jakes, W. (1974). Microwave Mobile Communications. New York: Wiley. Jakes, W. (1974). Microwave Mobile Communications. New York: Wiley.
18.
go back to reference Simon, M. K., & Alouini, M. S. (2000). Digital communication over fading channels. New York: Wiley. Simon, M. K., & Alouini, M. S. (2000). Digital communication over fading channels. New York: Wiley.
19.
go back to reference Xu, D., Feng, Z., Li, Y., & Zhang, P. (2011). Outage probability minimizing power/rate control for cognitive radio multicast networks. In IEEE Global Communications Conference (GLOBECOM). Xu, D., Feng, Z., Li, Y., & Zhang, P. (2011). Outage probability minimizing power/rate control for cognitive radio multicast networks. In IEEE Global Communications Conference (GLOBECOM).
20.
go back to reference Gradshteyn, I., & Ryzhik, I. (2007). Table of integrals, series, and products. Washington: Academic Press.MATH Gradshteyn, I., & Ryzhik, I. (2007). Table of integrals, series, and products. Washington: Academic Press.MATH
21.
go back to reference Gao, X., Zhang, J., Liu, G., Xu, D., Zhang, P., Lu, Y., et al. (2007). Large-scale characteristics of 5.25 GHz based on wideband MIMO channel measurements. IEEE Antennas and Wireless Propagation Letters, 6(6), 263–266.CrossRef Gao, X., Zhang, J., Liu, G., Xu, D., Zhang, P., Lu, Y., et al. (2007). Large-scale characteristics of 5.25 GHz based on wideband MIMO channel measurements. IEEE Antennas and Wireless Propagation Letters, 6(6), 263–266.CrossRef
Metadata
Title
On the Impacts of Channel Estimation Errors and Feedback Delay on the Ergodic Capacity for Spectrum Sharing Cognitive Radio
Authors
Ding Xu
Zhiyong Feng
Ping Zhang
Publication date
01-10-2013
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 4/2013
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-013-1100-5

Other articles of this Issue 4/2013

Wireless Personal Communications 4/2013 Go to the issue