Top

Wireless Networks

Published in:

31-12-2015

Capacity in fading environment based on soft sensing information under spectrum sharing constraints

Authors: Indu Bala, Manjit Singh Bhamrah, Ghanshyam Singh

Published in: Wireless Networks | Issue 2/2017

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

search-config

AI-assisted search

Off

Abstract

In this paper, the ergodic channel capacity for a secondary user is investigated using soft sensing information about primary user activity in a shared channel under joint peak transmit power and average received interference power constraints for Nakagami-m fading channel. The results of the proposed power adaptation scheme illustrate the effect of communication environment parameters and soft sensing information about primary user activity on the channel capacity of secondary user. In particular, the effect of cross link channel state information to maximize the channel capacity for the power adaptation scheme is emphasized by considering the Lagrangian optimization problem for joint peak transmit power and average interference power constraints. Moreover, the performance of the primary user is also investigated considering the interference of the secondary user to the primary in spectrum sharing environment in terms of transmission rate and average channel capacity.

previous article An overview of spectrum sharing techniques in cognitive radio communication system

next article Efficient topology construction and routing for IEEE 802.15.4m-based smart grid networks

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

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!

inform 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!

inform now

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!

inform now

Akyildiz, I. F., Lee, W. Y., Vuran, M. C., & Mohanty, S. (2006). NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Computer Networks, 50(13), 2127–2159.CrossRefMATH

Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201–220.CrossRef

Mitola, J., & Maguire, G. Q. (1999). Cognitive radio: Making software radio more personal. IEEE Personal Communication, 6(4), 13–18.CrossRef

Goldsmith, A. J., & Varaiya, P. (1997). Capacity of fading channels with channel side information. IEEE Transactions on Information Theory, 43(6), 1986–1992.MathSciNetCrossRefMATH

Khojastepour, M. A. & Aazhang B. (2004). The capacity of average and peak power constrained fading channels with channel side information. In Proceedings of IEEE wireless communication and networking conference (WCNC’04), Atlanta, CA, USA, pp. 77–82.

Ghasemi A. & Sousa E. S. (2006). Capacity of fading channels under spectrum-sharing constraints. In IEEE international conference on computer communications, (ICC’06), Istanbul, Turkey, pp. 4373–4378.

Musavian L. & Aissa S. (2007). Ergodic and outage capacities of spectrum sharing systems in fading channels. In Proceedings IEEE global telecommunications confernce (GLOBECOM’07), Washington, DC, USA, pp. 3327–31.

Gastpar M. (2004). On capacity under received-signal constraints. In Proceedings 42nd annual allerton confernce on communication control and computing, Monticello,IL, USA, pp. 1322–1331.

Zhang R. (2008). Optimal power control over fading cognitive radio channel by exploiting primary user CSI. In Proceedings of IEEE global telecommunication conference (GLOBECOM’08), Washington, DC, USA, pp. 1–5.

10.

Bala I., Bhamrah M. S., Rana V., Jain N. & Singh G. (2014). Adaptive power control scheme for the cognitive radio system based on receiver sensitivity. In computational advancement in communication circuits and systems (pp. 69–80), India, Springer.

11.

Asghari V. & Aissa S (2008). Resource sharing in cognitive radio systems: Outage capacity and power allocation under soft sensing. In Proceedings of the IEEE global telecommunications conference (GLOBECOM’08), New Orleans, LA, USA, pp. 1–5.

12.

Hamdi K., Zhang W, & Letaief K. B. (2007). Power control in cognitive radio systems based on spectrum sensing side information. In Proceedings of the IEEE international conference on communication (ICC’07), pp. 5161–5165.

13.

Urkowitz, H. (1967). Energy detection of unknown deterministic signals. Proceedings of the IEEE, 55(4), 523–531.CrossRef

14.

Yucek, T., & Arslan, H. (2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys and Tutorials, 11(1), 116–130.CrossRef

15.

Srinivasa S. and Jafar S. A. (2007). Soft sensing and optimal power control for cognitive radio. In Proceedings of the IEEE Global telecommunications conference (GLOBECOM’07), Washington, DC, USA, pp. 1380–1384.

16.

Musavein, L., & Aissa, S. (2009). Fundamental capacity limits of cognitive radio in fading environments with imperfect channel information. IEEE Transactions on Communications, 57(11), 4372–4380.

17.

Rezki, Z., & Alouini, M. S. (2012). Ergodic capacity of cognitive radio under imperfect channel state information. IEEE Transactions on Vehicular Technology, 61(5), 2108–2119.CrossRef

18.

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

19.

Pandit, S., & Singh, G. (2015). Channel capacity in fading environment with CSI and interference power constraints for cognitive radio communication system. Wireless Networks, 21(4), 1275–1288.CrossRef

20.

Asghari, V., & Aissa, S. (2010). Adaptive rate and power transmission in spectrum-sharing systems. IEEE Transactions on Wireless Communications, 9(10), 3272–3280.CrossRef

21.

Abramowitz, M., & Stegun, I. A. (1972). Handbook of mathematical functions: With formulas, graphs, and mathematical tables (9th ed.). New York: Dover.MATH

22.

Asghari V. & Aissa S.(2008). Resource sharing in cognitive radio systems: outage capacity and power allocation under soft sensing. In Proceedings of the IEEE global telecommunications conference, (GLOBECOM’08), New Orleans, LA, USA, pp. 1–5.

23.

Kang, X., Liang, Y. C., Nallanathan, A., Garg, H. K., & Jhang, R. (2009). Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity. IEEE Transactions on Wireless Communications, 8(2), 940–950.CrossRef

24.

Ghasemi, A., & Sousa, E. S (2006). Capacity of fading channels under spectrum-sharing constraints. In Proceedings of the IEEE international conference on communications (ICC’06), Istanbul, Turkey, pp. 4373–4378.

25.

Suzuki, H. (1977). A statistical model for urban multipath propagation. IEEE Transactions on Communication, 25(7), 673–680.CrossRef

26.

Sheikh, A. U., Abdi, M., & Handforth, M. (1993). Indoor mobile radio channel at 946 MHz: Measurement and modelling, In Proceedings of IEEE vehicular technology (VTC’93), Secaucus, NJ, pp. 73–76.

27.

Ghasemi, A., & Sousa, E. S. (2007). Fundamental limits of spectrum-sharing in fading environments. IEEE Transactions on Wireless Communications, 6(2), 649–658.CrossRef

Title: Capacity in fading environment based on soft sensing information under spectrum sharing constraints
Authors: Indu Bala
Manjit Singh Bhamrah
Ghanshyam Singh
Publication date: 31-12-2015
Publisher: Springer US
Published in: Wireless Networks / Issue 2/2017
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI: https://doi.org/10.1007/s11276-015-1172-0

Springer Professional

Abstract

Please log in to get access to your license.

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

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Other articles of this Issue 2/2017

Channel exploration for aggregation in cognitive radio system

An overview of spectrum sharing techniques in cognitive radio communication system

Shared relay assignment in cooperative communications for bandwidth maximization

Survey of ICIC techniques in LTE networks under various mobile environment parameters

Efficient topology construction and routing for IEEE 802.15.4m-based smart grid networks

Efficiency measure of routing protocols in vehicular ad hoc network using freeway mobility model