Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G

Zhihui Gao, Ang Li, Yunfan Gao, Yu Wang, Yiran Chen
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引用次数: 2

Abstract

With the incoming 5G network, the ubiquitous Internet of Things (IoT) devices can benefit our daily life, such as smart cameras, drones, etc. With the introduction of the millimeter-wave band and the thriving number of IoT devices, it is critical to design new dynamic spectrum access (DSA) system to coordinate the spectrum allocation across massive devices in 5G. In this paper, we present Hermes, the first decentralized DSA system for massive devices deployment. Specifically, we propose an efficient multi-agent reinforcement learning algorithm and introduce a novel shuffle mechanism, addressing the drawbacks of collision and fairness in existing decentralized systems. We implement Hermes in 5G network via simulations. Extensive evaluations show that Hermes significantly reduces collisions and improves fairness compared to the state-of-the-art decentralized methods. Furthermore, Hermes is able to adapt the environmental changes within 0.5 seconds, showing its deployment practicability in dynamic environment of 5G.
Hermes:面向5G海量设备部署的分散动态频谱接入系统
随着5G网络的到来,无处不在的物联网(IoT)设备可以造福我们的日常生活,比如智能摄像头、无人机等。随着毫米波频段的引入和物联网设备数量的激增,设计新的动态频谱接入(DSA)系统来协调5G海量设备之间的频谱分配至关重要。在本文中,我们提出了Hermes,这是第一个用于大规模设备部署的分散DSA系统。具体而言,我们提出了一种高效的多智能体强化学习算法,并引入了一种新的洗牌机制,解决了现有分散系统中碰撞和公平的缺点。我们通过仿真在5G网络中实现了Hermes。广泛的评估表明,与最先进的分散方法相比,Hermes显着减少了碰撞并提高了公平性。此外,Hermes能够在0.5秒内适应环境变化,显示了其在5G动态环境中的部署实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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