Capacity Optimization for Local and Cooperative Spectrum Sensing in Cognitive Radio Networks
The dynamic spectrum allocation solutions such as
cognitive radio networks have been proposed as a key technology to
exploit the frequency segments that are spectrally underutilized.
Cognitive radio users work as secondary users who need to
constantly and rapidly sense the presence of primary users or
licensees to utilize their frequency bands if they are inactive. Short
sensing cycles should be run by the secondary users to achieve
higher throughput rates as well as to provide low level of interference
to the primary users by immediately vacating their channels once
they have been detected. In this paper, the throughput-sensing time
relationship in local and cooperative spectrum sensing has been
investigated under two distinct scenarios, namely, constant primary
user protection (CPUP) and constant secondary user spectrum
usability (CSUSU) scenarios. The simulation results show that the
design of sensing slot duration is very critical and depends on the
number of cooperating users under CPUP scenario whereas under
CSUSU, cooperating more users has no effect if the sensing time
used exceeds 5% of the total frame duration.
[1] Federal Communications Commission, "Spectrum policy task force
report, FCC 02-155." Nov. 2002.
[2] J. Mitola and G. Q. Maguire, "Cognitive Radios: making software radios
more personal," IEEE personal communications, vol. 6, no. 4, pp. 1318,
Aug. 1999.
[3] J. Mitola, "Cognitive radio: an integrated agent architecture for software
defined radio," PhD thesis, KTH Royal Institute of Technology,
Stockholm, Sweden, 2000.
[4] Ayman A. El-Saleh, Mahamod Ismail, Omar B. A. Ghafoor, and Anwar
H. Ibrahim, "Comparison between Overlay Cognitive Radio and
Underlay Cognitive Ultra Wideband Radio for Wireless
Communications," Proc. of the Fifth IASTED (AsiaCSN 2008), pp. 41-
45, April 2-4, 2008, Langkawi, Malaysia.
[5] IEEE 802.11 wireless RAN, "Functional requirements for the WRAN
standard, IEEE 802.11 05/0007r46" Oct. 2005.
[6] Z. Chair and P.K. Varshney, "Optimal data fusion in multiple sensor
detection systems," IEEE Trans. on Aerospace and Elect. Syst., vol.22
pp.98-101, January 1986.
[7] P. K. Varshney, "Distributed Detection and Data Fusion". Springer,
1997.
[8] A. Ghasemi & E.S. Sousa, Collaborative spectrum sensing for
opportunistic access in fading environments, Proc. of DySPAN-05,
November 2005.
[1] Federal Communications Commission, "Spectrum policy task force
report, FCC 02-155." Nov. 2002.
[2] J. Mitola and G. Q. Maguire, "Cognitive Radios: making software radios
more personal," IEEE personal communications, vol. 6, no. 4, pp. 1318,
Aug. 1999.
[3] J. Mitola, "Cognitive radio: an integrated agent architecture for software
defined radio," PhD thesis, KTH Royal Institute of Technology,
Stockholm, Sweden, 2000.
[4] Ayman A. El-Saleh, Mahamod Ismail, Omar B. A. Ghafoor, and Anwar
H. Ibrahim, "Comparison between Overlay Cognitive Radio and
Underlay Cognitive Ultra Wideband Radio for Wireless
Communications," Proc. of the Fifth IASTED (AsiaCSN 2008), pp. 41-
45, April 2-4, 2008, Langkawi, Malaysia.
[5] IEEE 802.11 wireless RAN, "Functional requirements for the WRAN
standard, IEEE 802.11 05/0007r46" Oct. 2005.
[6] Z. Chair and P.K. Varshney, "Optimal data fusion in multiple sensor
detection systems," IEEE Trans. on Aerospace and Elect. Syst., vol.22
pp.98-101, January 1986.
[7] P. K. Varshney, "Distributed Detection and Data Fusion". Springer,
1997.
[8] A. Ghasemi & E.S. Sousa, Collaborative spectrum sensing for
opportunistic access in fading environments, Proc. of DySPAN-05,
November 2005.
@article{"International Journal of Electrical, Electronic and Communication Sciences:55753", author = "Ayman A. El-Saleh and Mahamod Ismail and Mohd. A. M. Ali and Ahmed N. H. Alnuaimy", title = "Capacity Optimization for Local and Cooperative Spectrum Sensing in Cognitive Radio Networks", abstract = "The dynamic spectrum allocation solutions such as
cognitive radio networks have been proposed as a key technology to
exploit the frequency segments that are spectrally underutilized.
Cognitive radio users work as secondary users who need to
constantly and rapidly sense the presence of primary users or
licensees to utilize their frequency bands if they are inactive. Short
sensing cycles should be run by the secondary users to achieve
higher throughput rates as well as to provide low level of interference
to the primary users by immediately vacating their channels once
they have been detected. In this paper, the throughput-sensing time
relationship in local and cooperative spectrum sensing has been
investigated under two distinct scenarios, namely, constant primary
user protection (CPUP) and constant secondary user spectrum
usability (CSUSU) scenarios. The simulation results show that the
design of sensing slot duration is very critical and depends on the
number of cooperating users under CPUP scenario whereas under
CSUSU, cooperating more users has no effect if the sensing time
used exceeds 5% of the total frame duration.", keywords = "Capacity, cognitive radio, optimization, spectrumsensing.", volume = "3", number = "2", pages = "243-7", }