Umebayashi, K and Lopez-Benitez, M ORCID: 0000-0003-0526-6687
(2018)
A study on time domain deterministic-stochastic model of spectrum usage in WLAN.
In: IEEE Wireless Communications and Networking Conference (WCNC 2018), 4th IEEE International Workshop on Smart Spectrum (IWSS 2018), 2018-4-16 - 2018-4-16, Barcelona, Spain.
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IWSS 2018 - Paper 1.pdf - Author Accepted Manuscript Download (720kB) |
Abstract
Duty cycle (DC) has been used to express the deterministic and stochastic aspects of spectrum usage. Specifically, a deterministic model for the mean of the duty cycle (MDC) has been proposed in a previous work. On the other hand, the observed DC (O-DC) during short time duration has randomness and a stochastic model is used to express the randomness. In this paper, we extend the conventional approach to a combined deterministic-stochastic (DS) model which represents both the deterministic and stochastic aspects. For the distribution of the O-DC, the beta distribution has been used as stochastic model, but we employ a mixture of beta distributions. The mixture-beta distribution can achieve higher accuracy but requires more capacity for data storage in spectrum usage measurements since it has a higher number of parameters than the beta distribution. For this issue, we employ regression analysis in DS-model to reduce the number of parameters while retaining the accuracy. We show the validity of DS-model based on exhaustive spectrum measurements in IEEE 802.11-based wireless local area networks.
Item Type: | Conference or Workshop Item (Unspecified) |
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Uncontrolled Keywords: | Brain Disorders, Intellectual and Developmental Disabilities (IDD) |
Depositing User: | Symplectic Admin |
Date Deposited: | 02 Feb 2018 15:58 |
Last Modified: | 15 Mar 2024 06:09 |
DOI: | 10.1109/wcnc.2018.8377445 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3017362 |