TY - JOUR
T1 - The Fisher-Snedecor F Distribution
T2 - A Simple and Accurate Composite Fading Model
AU - Yoo, Seong Ki
AU - Cotton, Simon L.
AU - Sofotasios, Paschalis C.
AU - Matthaiou, Michail
AU - Valkama, Mikko
AU - Karagiannidis, George K.
N1 - Funding Information:
Manuscript received January 25, 2017; accepted March 9, 2017. Date of publication March 24, 2017; date of current version July 8, 2017. This work was supported in part by the U.K. Engineering and Physical Sciences Research Council under Grant Reference EP/L026074/1, the Department for Employment and Learning Northern Ireland through Grant No. USI080 and the Academy of Finland under Projects 284694 and 288670. The associate by editor coordinating the review of this letter and approving it for publication was G. C. Alexandropoulos. (Corresponding author: Simon Cotton.) S. K. Yoo, S. L. Cotton, and M. Matthaiou are with the Institute of Electronics, Communications and Information Technology, Queen’s University Belfast, Belfast BT3 9DT, U.K. (e-mail: [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 1997-2012 IEEE.
PY - 2017/7
Y1 - 2017/7
N2 - We consider the use of the Fisher-Snedecor F distribution, which is defined as the ratio of two chi-squared variates, to model composite fading channels. In this context, the root-mean-square power of a Nakagami- m signal is assumed to be subject to variations induced by an inverse Nakagami- m random variable. Comparisons with physical channel data demonstrate that the proposed composite fading model provides as good, and in most cases better, fit to the data compared to the generalized- K composite fading model. Motivated by this result, simple novel expressions are derived for the key statistical metrics and performance measures of interest.
AB - We consider the use of the Fisher-Snedecor F distribution, which is defined as the ratio of two chi-squared variates, to model composite fading channels. In this context, the root-mean-square power of a Nakagami- m signal is assumed to be subject to variations induced by an inverse Nakagami- m random variable. Comparisons with physical channel data demonstrate that the proposed composite fading model provides as good, and in most cases better, fit to the data compared to the generalized- K composite fading model. Motivated by this result, simple novel expressions are derived for the key statistical metrics and performance measures of interest.
KW - Composite fading
KW - inverse Nakagami-m distribution
KW - Nakagami-m fading
KW - shadowing.
UR - http://www.scopus.com/inward/record.url?scp=85029841155&partnerID=8YFLogxK
U2 - 10.1109/LCOMM.2017.2687438
DO - 10.1109/LCOMM.2017.2687438
M3 - Article
AN - SCOPUS:85029841155
SN - 1089-7798
VL - 21
SP - 1661
EP - 1664
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 7
M1 - 7886273
ER -