Abstract
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.
Original language | English (US) |
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Title of host publication | 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Electronic) | 9781538617342 |
DOIs | |
State | Published - Jun 8 2018 |
Event | 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 - Barcelona, Spain Duration: Apr 15 2018 → Apr 18 2018 |
Publication series
Name | IEEE Wireless Communications and Networking Conference, WCNC |
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Volume | 2018-April |
ISSN (Print) | 1525-3511 |
Conference
Conference | 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 |
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Country/Territory | Spain |
City | Barcelona |
Period | 04/15/18 → 04/18/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- Bounded relative error
- Diversity techniques
- Importance sampling
- Monte Carlo
- Outage probability
- α-μ
ASJC Scopus subject areas
- General Engineering