Han Seung Jang , Munseop Yun , Taehoon Kim , Inkyu Bang
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引用次数: 0
Abstract
In this article, we propose a non-orthogonal resource scheduling (NORS) scheme with an enhanced preamble detection (PD) method for cellular random access (RA) systems. The enhanced PD method is designed based on a deep learning technique that can classify three PD statuses: idle, collision-free, and collision. Because of this collision resolution capability, the base station (BS) can exploit radio resources non-orthogonally in contention-based RA protocols. In addition, we mathematically analyze the performance of our proposed NORS scheme in terms of RA success probability and resource utilization efficiency and conduct a comparison with the baseline orthogonal resource scheduling (ORS) scheme. Through simulations, we verify the validity of our mathematical analysis. As a result, our results will be a useful guideline for resource scheduling and provide support for massive connectivity.
在本文中，我们为蜂窝随机接入（RA）系统提出了一种具有增强型前导码检测（PD）方法的非正交资源调度（NORS）方案。增强型前导码检测方法是基于深度学习技术设计的，可对三种前导码状态进行分类：空闲、无碰撞和碰撞。由于这种碰撞解决能力，基站（BS）可以在基于竞争的 RA 协议中非正交地利用无线电资源。此外，我们还从 RA 成功概率和资源利用效率的角度对我们提出的 NORS 方案的性能进行了数学分析，并与基线正交资源调度（ORS）方案进行了比较。通过仿真，我们验证了数学分析的有效性。因此，我们的结果将为资源调度提供有用的指导，并为大规模连接提供支持。
期刊介绍：
The ICT Express journal published by the Korean Institute of Communications and Information Sciences (KICS) is an international, peer-reviewed research publication covering all aspects of information and communication technology. The journal aims to publish research that helps advance the theoretical and practical understanding of ICT convergence, platform technologies, communication networks, and device technologies. The technology advancement in information and communication technology (ICT) sector enables portable devices to be always connected while supporting high data rate, resulting in the recent popularity of smartphones that have a considerable impact in economic and social development.
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