TY - GEN
T1 - Efficient outage probability evaluation of diversity receivers over α-μ fading channels
AU - Ben Issaid, Chaouki
AU - Alouini, Mohamed-Slim
AU - Tempone, Raul
N1 - KAUST Repository Item: Exported on 2021-08-27
PY - 2018/6/11
Y1 - 2018/6/11
N2 - In this paper, we are interested in determining the cumulative distribution function of the sum of α - μ random variables in the setting of rare event simulations. To this end, we present an efficient importance sampling estimator. The main result of this work is the bounded relative error property of the proposed estimator. This result is used to accurately estimate the outage probability of multibranch maximum ratio combining and equal gain diversity receivers over α - μ fading channels. Selected numerical simulations are discussed to show the robustness of our estimator compared to naive Monte Carlo.
AB - In this paper, we are interested in determining the cumulative distribution function of the sum of α - μ random variables in the setting of rare event simulations. To this end, we present an efficient importance sampling estimator. The main result of this work is the bounded relative error property of the proposed estimator. This result is used to accurately estimate the outage probability of multibranch maximum ratio combining and equal gain diversity receivers over α - μ fading channels. Selected numerical simulations are discussed to show the robustness of our estimator compared to naive Monte Carlo.
UR - http://hdl.handle.net/10754/628233
UR - https://ieeexplore.ieee.org/document/8376962/
UR - http://www.scopus.com/inward/record.url?scp=85049200755&partnerID=8YFLogxK
U2 - 10.1109/WCNC.2018.8376962
DO - 10.1109/WCNC.2018.8376962
M3 - Conference contribution
AN - SCOPUS:85049200755
SN - 9781538617342
SP - 1
EP - 6
BT - 2018 IEEE Wireless Communications and Networking Conference (WCNC)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -