Abstract
This work is devoted to the study of dispersed spectrum cognitive radio (CR) systems over independent and nonidentically distributed (i.n.i.d.) generalized fading channels. More specifically, this is performed in terms of the high-order statistics (HOS) of the channel capacity over η-μ fading channels. A generic analytic expression is derived for the corresponding nth statistical moment, which is subsequently employed for deducing exact closed-form expressions for the first four moments. Using these expressions, important statistical metrics, such as the amount of dispersion, amount of fading, skewness, and kurtosis, are derived in closed form and can be efficiently used in providing insights on the performance of dispersed CR systems. The obtained numerical results reveal interesting outcomes that could be useful for the channel selection, either for sharing or aggregation in heterogeneous networks, which is the core structure of future wireless communication systems.
| Original language | English |
|---|---|
| Article number | 7111364 |
| Pages (from-to) | 3818-3823 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 65 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - May 1 2016 |
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Keywords
- Amount of dispersion
- channel capacity
- cognitive radio (CR)
- dispersed spectrum
- high-order statistics (HOS)
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Aerospace Engineering
- Automotive Engineering
- Computer Networks and Communications
- Applied Mathematics
Cite this
On the Higher Order Statistics of the Channel Capacity in Dispersed Spectrum Cognitive Radio Systems Over Generalized Fading Channels. / Tsiftsis, Theodoros A.; Foukalas, Fotis; Karagiannidis, George K.; Khattab, Tamer.
In: IEEE Transactions on Vehicular Technology, Vol. 65, No. 5, 7111364, 01.05.2016, p. 3818-3823.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - On the Higher Order Statistics of the Channel Capacity in Dispersed Spectrum Cognitive Radio Systems Over Generalized Fading Channels
AU - Tsiftsis, Theodoros A.
AU - Foukalas, Fotis
AU - Karagiannidis, George K.
AU - Khattab, Tamer
PY - 2016/5/1
Y1 - 2016/5/1
N2 - This work is devoted to the study of dispersed spectrum cognitive radio (CR) systems over independent and nonidentically distributed (i.n.i.d.) generalized fading channels. More specifically, this is performed in terms of the high-order statistics (HOS) of the channel capacity over η-μ fading channels. A generic analytic expression is derived for the corresponding nth statistical moment, which is subsequently employed for deducing exact closed-form expressions for the first four moments. Using these expressions, important statistical metrics, such as the amount of dispersion, amount of fading, skewness, and kurtosis, are derived in closed form and can be efficiently used in providing insights on the performance of dispersed CR systems. The obtained numerical results reveal interesting outcomes that could be useful for the channel selection, either for sharing or aggregation in heterogeneous networks, which is the core structure of future wireless communication systems.
AB - This work is devoted to the study of dispersed spectrum cognitive radio (CR) systems over independent and nonidentically distributed (i.n.i.d.) generalized fading channels. More specifically, this is performed in terms of the high-order statistics (HOS) of the channel capacity over η-μ fading channels. A generic analytic expression is derived for the corresponding nth statistical moment, which is subsequently employed for deducing exact closed-form expressions for the first four moments. Using these expressions, important statistical metrics, such as the amount of dispersion, amount of fading, skewness, and kurtosis, are derived in closed form and can be efficiently used in providing insights on the performance of dispersed CR systems. The obtained numerical results reveal interesting outcomes that could be useful for the channel selection, either for sharing or aggregation in heterogeneous networks, which is the core structure of future wireless communication systems.
KW - Amount of dispersion
KW - channel capacity
KW - cognitive radio (CR)
KW - dispersed spectrum
KW - high-order statistics (HOS)
UR - http://www.scopus.com/inward/record.url?scp=84969939755&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84969939755&partnerID=8YFLogxK
U2 - 10.1109/TVT.2015.2436341
DO - 10.1109/TVT.2015.2436341
M3 - Article
AN - SCOPUS:84969939755
VL - 65
SP - 3818
EP - 3823
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
IS - 5
M1 - 7111364
ER -