TY - JOUR
T1 - Asymptotic Performance Analysis of Two-Way Relaying FSO Networks with Nonzero Boresight Pointing Errors Over Double-Generalized Gamma Fading Channels
AU - Yang, Liang
AU - Alouini, Mohamed-Slim
AU - Ansari, Imran Shafique
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: National Natural Science Foundation of China
PY - 2018/5/7
Y1 - 2018/5/7
N2 - In this correspondence, an asymptotic performance analysis for two-way relaying free-space optical (FSO) communication systems with nonzero boresight pointing errors over double-generalized gamma fading channels is presented. Assuming amplify-and-forward (AF) relaying, two nodes having the FSO ability can communicate with each other through the optical links. With this setup, an approximate cumulative distribution function (CDF) expression for the overall signal-to-noise ratio (SNR) is presented. With this statistic distribution, we derive the asymptotic analytical results for the outage probability and average bit error rate. Furthermore, we provide the asymptotic average capacity analysis for high SNR by using the momentsbased method.
AB - In this correspondence, an asymptotic performance analysis for two-way relaying free-space optical (FSO) communication systems with nonzero boresight pointing errors over double-generalized gamma fading channels is presented. Assuming amplify-and-forward (AF) relaying, two nodes having the FSO ability can communicate with each other through the optical links. With this setup, an approximate cumulative distribution function (CDF) expression for the overall signal-to-noise ratio (SNR) is presented. With this statistic distribution, we derive the asymptotic analytical results for the outage probability and average bit error rate. Furthermore, we provide the asymptotic average capacity analysis for high SNR by using the momentsbased method.
UR - http://hdl.handle.net/10754/627893
UR - https://ieeexplore.ieee.org/document/8355774/
UR - http://www.scopus.com/inward/record.url?scp=85046469942&partnerID=8YFLogxK
U2 - 10.1109/TVT.2018.2833871
DO - 10.1109/TVT.2018.2833871
M3 - Article
SN - 0018-9545
VL - 67
SP - 7800
EP - 7805
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 8
ER -