TY - GEN
T1 - Capacity analysis under generalized composite fading conditions
AU - Sofotasios, Paschalis C.
AU - Yoo, Seong Ki
AU - Bhargav, Nidhi
AU - Muhaidat, Sami
AU - Cotton, Simon L.
AU - Matthaiou, Michail
AU - Valkama, Mikko
AU - Karagiannidis, George K.
N1 - Funding Information:
EP/L026074/1, by the Department for the Economy Northern Ireland through Grant No. USI080 and by the Academy of Finland under projects 284694 and 288670.
Funding Information:
ACKNOWLEDGMENTS This work was supported in part by the U.K. Engineering and Physical Sciences Research Council under Grant No.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/5/16
Y1 - 2018/5/16
N2 - Novel composite fading models were recently proposed based on inverse gamma distributed shadowing conditions. These models were extensively shown to provide remarkable modeling of the simultaneous occurrence of multipath fading and shadowing phenomena in emerging wireless scenarios such as cellular, off-body and vehicle-to-vehicle communications. Furthermore, the algebraic representation of these models is rather tractable, which renders them convenient to handle both analytically and numerically. The present contribution presents the major theoretical and practical characteristics of the η - μ / inverse gamma composite fading model, followed by a thorough ergodic capacity analysis. To this end, novel analytic expressions are derived, which are subsequently used in the evaluation of the corresponding system performance. In this context, the offered results are compared with respective results from cases assuming conventional fading conditions, which leads to the development of numerous insights on the effect of the multipath fading and shadowing severity on the achieved capacity levels. It is expected that these results will be useful in the design of timely and highly demanding wireless technologies, such as wearable, cellular and inter-vehicular communications as well in wireless power transfer based applications in the context of the Internet of Things.
AB - Novel composite fading models were recently proposed based on inverse gamma distributed shadowing conditions. These models were extensively shown to provide remarkable modeling of the simultaneous occurrence of multipath fading and shadowing phenomena in emerging wireless scenarios such as cellular, off-body and vehicle-to-vehicle communications. Furthermore, the algebraic representation of these models is rather tractable, which renders them convenient to handle both analytically and numerically. The present contribution presents the major theoretical and practical characteristics of the η - μ / inverse gamma composite fading model, followed by a thorough ergodic capacity analysis. To this end, novel analytic expressions are derived, which are subsequently used in the evaluation of the corresponding system performance. In this context, the offered results are compared with respective results from cases assuming conventional fading conditions, which leads to the development of numerous insights on the effect of the multipath fading and shadowing severity on the achieved capacity levels. It is expected that these results will be useful in the design of timely and highly demanding wireless technologies, such as wearable, cellular and inter-vehicular communications as well in wireless power transfer based applications in the context of the Internet of Things.
UR - https://www.scopus.com/pages/publications/85048321386
U2 - 10.1109/COMMNET.2018.8360282
DO - 10.1109/COMMNET.2018.8360282
M3 - Conference contribution
AN - SCOPUS:85048321386
T3 - Proceedings - 2018 International Conference on Advanced Communication Technologies and Networking, CommNet 2018
SP - 1
EP - 10
BT - Proceedings - 2018 International Conference on Advanced Communication Technologies and Networking, CommNet 2018
A2 - Karagiannidis, George K.
A2 - Sofotasios, Paschalis C.
A2 - Sofotasios, Paschalis C.
A2 - EI Bouanani, Faissal
A2 - Ayoub, Fouad
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Advanced Communication Technologies and Networking, CommNet 2018
Y2 - 2 April 2018 through 4 April 2018
ER -