Choi Young-June, Kim Young-Sik, Jang Ji-Woong
Department of Software and Computer Engineering, Ajou University, Suwon 16499, Republic of Korea.
Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, Republic of Korea.
Sensors (Basel). 2024 Dec 25;25(1):62. doi: 10.3390/s25010062.
In this paper, we propose a method for applying the -ary m-sequence as a channel-searching pattern for rendezvous in the asymmetric channel model of cognitive radio. We mathematically analyzed and calculated the ETTR when the m-sequence is applied to the conventional scheme, and our simulation results demonstrated that the ETTR performance is significantly better than that of the JS algorithm. Furthermore, we introduced a new channel-searching scheme that maximizes the benefits of the m-sequence and proposed a method to adapt the generation of the m-sequence for use in the newly proposed scheme. We also derived the ETTR mathematically for the new scheme with the m-sequence and showed through simulations that the performance of the new scheme with the m-sequence is superior to that of the conventional scheme with the m-sequence. Notably, when there is only one common channel, the new scheme with the m-sequence achieved approximately four times the improvement in the ETTR compared to the conventional scheme.
在本文中,我们提出了一种方法,用于将 - 进制m序列作为认知无线电非对称信道模型中用于会合的信道搜索模式。我们对将m序列应用于传统方案时的首次会合时间(ETTR)进行了数学分析和计算,并且我们的仿真结果表明,ETTR性能显著优于JS算法。此外,我们引入了一种新的信道搜索方案,该方案最大化了m序列的优势,并提出了一种调整m序列生成以用于新提出方案的方法。我们还对带有m序列的新方案进行了ETTR的数学推导,并通过仿真表明,带有m序列的新方案的性能优于带有m序列的传统方案。值得注意的是,当只有一个公共信道时,带有m序列的新方案在ETTR方面比传统方案实现了大约四倍的提升。