Abstract
A cooperative cognitive radio network (CRN) with improved energy detection-based spectrum sensing is analyzed in various fading scenarios. Generalized multipath (Nakagami- m ) fading and enriched multipath (Nakagami- q ) fading models are considered along with two other general fading distributions, i.e., κ - μ and η - μ distributions. For spectrum sensing, instead of conventional power 2-based detection method, the arbitrary power p -based improved energy detector is used. The impact of the cognitive user mobility on the performance of the improved energy detector is investigated. Specifically, the statistics for the received signal are derived over various fading environments. The performance of the considered CRN system is evaluated in terms of probability of false alarm, probability of missed detection, and receiver operating characteristics (ROC) curves. Moreover, the area under the ROC curve is also obtained. Simulation results are provided to corroborate the theoretical results derived in this paper.
| Original language | English |
|---|---|
| Pages (from-to) | 534-545 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Communications |
| Volume | 66 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Feb 1 2018 |
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Keywords
- Cognitive radio network
- cognitive user mobility
- energy detection
- spectrum sensing
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
An Improved Energy Detector for Mobile Cognitive Users over Generalized Fading Channels. / Gahane, Lokesh; Sharma, Prabhat Kumar; Varshney, Neeraj; Tsiftsis, Theodoros; Kumar, Preetam.
In: IEEE Transactions on Communications, Vol. 66, No. 2, 01.02.2018, p. 534-545.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - An Improved Energy Detector for Mobile Cognitive Users over Generalized Fading Channels
AU - Gahane, Lokesh
AU - Sharma, Prabhat Kumar
AU - Varshney, Neeraj
AU - Tsiftsis, Theodoros
AU - Kumar, Preetam
PY - 2018/2/1
Y1 - 2018/2/1
N2 - A cooperative cognitive radio network (CRN) with improved energy detection-based spectrum sensing is analyzed in various fading scenarios. Generalized multipath (Nakagami- m ) fading and enriched multipath (Nakagami- q ) fading models are considered along with two other general fading distributions, i.e., κ - μ and η - μ distributions. For spectrum sensing, instead of conventional power 2-based detection method, the arbitrary power p -based improved energy detector is used. The impact of the cognitive user mobility on the performance of the improved energy detector is investigated. Specifically, the statistics for the received signal are derived over various fading environments. The performance of the considered CRN system is evaluated in terms of probability of false alarm, probability of missed detection, and receiver operating characteristics (ROC) curves. Moreover, the area under the ROC curve is also obtained. Simulation results are provided to corroborate the theoretical results derived in this paper.
AB - A cooperative cognitive radio network (CRN) with improved energy detection-based spectrum sensing is analyzed in various fading scenarios. Generalized multipath (Nakagami- m ) fading and enriched multipath (Nakagami- q ) fading models are considered along with two other general fading distributions, i.e., κ - μ and η - μ distributions. For spectrum sensing, instead of conventional power 2-based detection method, the arbitrary power p -based improved energy detector is used. The impact of the cognitive user mobility on the performance of the improved energy detector is investigated. Specifically, the statistics for the received signal are derived over various fading environments. The performance of the considered CRN system is evaluated in terms of probability of false alarm, probability of missed detection, and receiver operating characteristics (ROC) curves. Moreover, the area under the ROC curve is also obtained. Simulation results are provided to corroborate the theoretical results derived in this paper.
KW - Cognitive radio network
KW - cognitive user mobility
KW - energy detection
KW - spectrum sensing
UR - http://www.scopus.com/inward/record.url?scp=85030634936&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85030634936&partnerID=8YFLogxK
U2 - 10.1109/TCOMM.2017.2754250
DO - 10.1109/TCOMM.2017.2754250
M3 - Article
AN - SCOPUS:85030634936
VL - 66
SP - 534
EP - 545
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
SN - 0096-1965
IS - 2
ER -