Takeuchi Shungo, Hasegawa Mikio, Kanno Kazutaka, Uchida Atsushi, Chauvet Nicolas, Naruse Makoto
Department of Electrical Engineering, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo, 125-8585, Japan.
Department of Information and Computer Sciences, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama City, Saitama, 338-8570, Japan.
Sci Rep. 2020 Jan 31;10(1):1574. doi: 10.1038/s41598-020-58541-2.
Dynamic channel selection is among the most important wireless communication elements in dynamically changing electromagnetic environments wherein, a user can experience improved communication quality by choosing a better channel. Multi-armed bandit (MAB) algorithms are a promising approach that resolve the trade-off between channel exploration and exploitation of enhanced communication quality. Ultrafast solution of MAB problems has been demonstrated by utilizing chaotically oscillating time series generated by semiconductor lasers. In this study, we experimentally demonstrate a MAB algorithm incorporating laser chaos time series in a wireless local area network (WLAN). Autonomous and adaptive dynamic channel selection is successfully demonstrated in an IEEE802.11a-based, four-channel WLAN. Although the laser chaos time series is arranged prior to the WLAN experiments, the results confirm the usefulness of ultrafast chaotic sequences for real wireless applications. In addition, we numerically examine the underlying adaptation mechanism of the significantly simplified MAB algorithm implemented in the present study compared with the previously reported chaos-based decision makers. This study provides a first step toward the application of ultrafast chaotic lasers for future high-performance wireless communication networks.
动态信道选择是动态变化的电磁环境中最重要的无线通信要素之一，在这种环境下，用户可以通过选择更好的信道来体验更高的通信质量。多臂赌博机（MAB）算法是一种很有前景的方法，它解决了信道探索与利用增强通信质量之间的权衡问题。利用半导体激光器产生的混沌振荡时间序列，已证明了MAB问题的超快解决方案。在本研究中，我们通过实验证明了一种在无线局域网（WLAN）中结合激光混沌时间序列的MAB算法。在基于IEEE802.11a的四信道WLAN中成功演示了自主自适应动态信道选择。尽管激光混沌时间序列是在WLAN实验之前安排的，但结果证实了超快混沌序列在实际无线应用中的有用性。此外，与先前报道的基于混沌的决策者相比，我们在数值上研究了本研究中实现的显著简化的MAB算法的潜在自适应机制。本研究为超快混沌激光器在未来高性能无线通信网络中的应用迈出了第一步。
