Abstract
In industrial communications, it is imperative that critical information is transmitted without any interruptions or faults throughout the entire transmission process. Traditional communication system, however, typically focus on transmission errors at the bit level and fail to consider the time-varying characteristics of wireless channels in relation to the distribution of failures over time. In this article, we employ a classical reliability measure, i.e., Mean Time To First Failure (MTTFF), into the optimization algorithm of communication system to provide a guaranteed reliable transmission window without any errors. By exploiting the constant envelope properties of Zadoff-Chu (ZC) sequences, we calculate the distribution and cumulative density function of the SNR, and accurately estimate the Level Crossing Rate (LCR), which allows us to estimate the MTTFF under current status. We then implement a optimization strategy that minimizes the transmitted power to achieve the targeted MT-TFF. Extensive experiments validates that the adjusted MTTFF achieves a satisfaction rate of more than 95%.
Original language | English |
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Title of host publication | 2024 16th International Conference on Wireless Communications and Signal Processing (WCSP) |
Place of Publication | Piscataway, US |
Publisher | IEEE |
Pages | 1307-1312 |
Number of pages | 6 |
ISBN (Electronic) | 9798350390643 |
ISBN (Print) | 9798350390650 |
DOIs | |
Publication status | Published - 24 Oct 2024 |
Event | The 16th International Conference on Wireless Communications and Signal Processing (WCSP 2024) - Hefei, China Duration: 24 Oct 2024 → 26 Oct 2024 http://www.ic-wcsp.org/2024/index.asp |
Conference
Conference | The 16th International Conference on Wireless Communications and Signal Processing (WCSP 2024) |
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Abbreviated title | WCSP 2024 |
Country/Territory | China |
City | Hefei |
Period | 24/10/24 → 26/10/24 |
Internet address |
Keywords
- reliability
- MTTFF
- channel estimation
- optimization