Impact of Spatial Rejection and Temporal Traffic Dynamics on Interference Correlation

This paper investigates the spatio-temporal interference correlation in wireless networks, emphasizing the impact of spatial node rejection modeled by two types of Matern Hard-Core Point Processes (MHCP). We explore how the spatial rejection inherent to MHCP types I and II shapes interference patterns, with a particular focus on the negative correlation effects on network performance. Our study further examine the temporally correlated traffic model, which reveals significant insights into how temporal correlation affects interference. By deriving expressions for the interference correlation coefficient, we illustrate the critical role of path loss and spatial rejection parameters. The work contributes to a refined understanding of interference dynamics in networks modeled by MHCP and guides the strategic development of efficient wireless systems in the presence of correlated traffic.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/pimrc59610.2024.10817429
Citations
1
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
0.68
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article

Impact of Spatial Rejection and Temporal Traffic Dynamics on Interference Correlation

Zhuoling Chen, Xiaohu Ge, Junliang Ye, Yi Zhong
1 citations
Transportation Planning and Optimization
0.68
article

Impact of Spatial Rejection and Temporal Traffic Dynamics on Interference Correlation

Zhuoling Chen, Xiaohu Ge, Junliang Ye, Yi Zhong
article en
1 citations

Abstract

This paper investigates the spatio-temporal interference correlation in wireless networks, emphasizing the impact of spatial node rejection modeled by two types of Matern Hard-Core Point Processes (MHCP). We explore how the spatial rejection inherent to MHCP types I and II shapes interference patterns, with a particular focus on the negative correlation effects on network performance. Our study further examine the temporally correlated traffic model, which reveals significant insights into how temporal correlation affects interference. By deriving expressions for the interference correlation coefficient, we illustrate the critical role of path loss and spatial rejection parameters. The work contributes to a refined understanding of interference dynamics in networks modeled by MHCP and guides the strategic development of efficient wireless systems in the presence of correlated traffic.

Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 20%
Transportation Planning and Optimization
0.68
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