Analysis of ACB Factor and Dynamic Time-Preamble Table Methods for Random Access

We define a capacity function in this paper to measure the maximum utility of the preambles. It is shown that the ACB (access class barring) factor method cannot reach the full capacity but a scaled capacity. Moreover, we propose a dynamic time-preamble method for random access, which is equivalent to the ACB factor technique in achieving the performance of throughput but better adapts to dynamic network scenarios.

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Published
2024-10-25
DOI
https://doi.org/10.1109/icbaie63306.2024.11116986
Citations
1
Primary Topic
Sparse and Compressive Sensing Techniques
Type
article
Field-Weighted Citation Impact
0.37
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Analysis of ACB Factor and Dynamic Time-Preamble Table Methods for Random Access

Fangzhe Zhang, Zhenghao Li, Donglan Liu, Xin Wang et al.
1 citations
Sparse and Compressive Sensing Techniques
0.37
article

Analysis of ACB Factor and Dynamic Time-Preamble Table Methods for Random Access

Fangzhe Zhang, Zhenghao Li, Donglan Liu, Xin Wang, Hao Zhang, Xu Zhao, Lili Sun
article en
1 citations

Abstract

We define a capacity function in this paper to measure the maximum utility of the preambles. It is shown that the ACB (access class barring) factor method cannot reach the full capacity but a scaled capacity. Moreover, we propose a dynamic time-preamble method for random access, which is equivalent to the ACB factor technique in achieving the performance of throughput but better adapts to dynamic network scenarios.

Beijing Microelectronics Technology Institute (CN), Beijing Founder Electronics (China) (CN)
Openalex Percentile: Top 39%
Sparse and Compressive Sensing Techniques
0.37
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