TY - GEN
T1 - Energy Detection-Based Spectrum Sensing over Fisher-Snedecor F Fading Channels
AU - Yoo, Seong Ki
AU - Cotton, Simon L.
AU - Sofotasios, Paschalis C.
AU - Muhaidat, Sami
AU - Badarneh, Osamah S.
AU - Karagiannidis, George K.
N1 - Funding Information:
ACKNOWLEDGEMENT This work was supported in part by the U.K. Engineering and Physical Sciences Research Council under Grant No. EP/L026074/1, the Department for the Economy Northern Ireland through Grant No. USI080, and the Khalifa University of Science and Technology Research Center on Cyber-Physical Systems and the Khalifa University of Science and Technology Grant No. 847066.
Publisher Copyright:
© 2018 IEEE.
PY - 2018
Y1 - 2018
N2 - This paper investigates the performance of energy detection-based spectrum sensing over Fisher-Snedecor F fading channels. To this end, an analytical expression for the corre- sponding average detection probability is firstly derived and then this is extended to account for collaborative spectrum sensing. The complementary receiver operating characteristics (ROC) are analyzed for different conditions of the average signal-to- noise ratio (SNR), time-bandwidth product, multipath fading, shadowing and number of collaborating users. It is shown that the energy detection performance is strongly linked to the severity of the multipath fading and amount of shadowing, whereby even small variations in either of these physical phenomena significantly impact the detection probability. Also, the versatile modeling capability of the Fisher-Snedecor F distribution is veridfied in the context of energy detection based spectrum sensing as it provides considerably more accurate characterization than the conventional Rayleigh fading model. To confirm the validity of the analytical results presented in this paper, we compare them with the results of some simulations.
AB - This paper investigates the performance of energy detection-based spectrum sensing over Fisher-Snedecor F fading channels. To this end, an analytical expression for the corre- sponding average detection probability is firstly derived and then this is extended to account for collaborative spectrum sensing. The complementary receiver operating characteristics (ROC) are analyzed for different conditions of the average signal-to- noise ratio (SNR), time-bandwidth product, multipath fading, shadowing and number of collaborating users. It is shown that the energy detection performance is strongly linked to the severity of the multipath fading and amount of shadowing, whereby even small variations in either of these physical phenomena significantly impact the detection probability. Also, the versatile modeling capability of the Fisher-Snedecor F distribution is veridfied in the context of energy detection based spectrum sensing as it provides considerably more accurate characterization than the conventional Rayleigh fading model. To confirm the validity of the analytical results presented in this paper, we compare them with the results of some simulations.
UR - http://www.scopus.com/inward/record.url?scp=85063500863&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2018.8647778
DO - 10.1109/GLOCOM.2018.8647778
M3 - Conference contribution
AN - SCOPUS:85063500863
T3 - 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings
BT - 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Global Communications Conference, GLOBECOM 2018
Y2 - 9 December 2018 through 13 December 2018
ER -