Modeling and analyzing licensed shared access operation for 5G network as an inhomogeneous queue with catastrophes

I. Gudkova, A. Korotysheva, A. Zeifman, G. Shilova, V. Korolev, S. Shorgin, R. Razumchik
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引用次数: 10

Abstract

The framework of licensed shared access (LSA) to spectrum seems to become one of the trends of 5G wireless networks. The framework assumes the simultaneous access to spectrum by at least two parties - the primarily owner (incumbent), which has the highest priority, and several secondary users (licensees), which have lower priorities. The critical up-to-date problem is the development of the corresponding radio admission control and load balancing algorithms that form an essential part of the LSA agreement between the parties. The algorithm of binary use of spectrum gives an absolute priority to the incumbent, e.g. the airport using spectrum for aeronautical telemetry purposes. In the paper, capturing the inhomogeneous in time nature of rates of requests for access to spectrum and average times of spectrum use, we propose a queuing model of binary access to spectrum as seen from the licensee's point of view. The queue is described by an inhomogeneous birth and death process with catastrophes and repairs. The main aim of the paper is to find the bounds on the rates of convergence to the limiting characteristics of the queue - average number of users, blocking probability, and probability of service interruption due to the incumbent's need for spectrum. Not only the acceptable upper thresholds on the limiting characteristics are important for consideration but also the corresponding bounds showing the moment in time when the system becomes stable and the LSA licensee could really access to spectrum.
将5G网络授权共享访问操作建模和分析为具有灾难的非同构队列
频谱授权共享接入(LSA)框架似乎成为5G无线网络的发展趋势之一。该框架假定至少有两方同时访问频谱——具有最高优先级的主要所有者(在位者)和具有较低优先级的几个次要用户(被许可方)。最新的关键问题是相应的无线电接收控制和负载平衡算法的发展,这些算法构成了各方之间LSA协议的重要组成部分。频谱的二元使用算法给予现有频谱的绝对优先权,例如机场将频谱用于航空遥测目的。在本文中,捕捉到频谱访问请求率和平均频谱使用时间的非同质性,我们从被许可人的角度提出了二进制频谱访问的排队模型。队列被描述为具有灾难和修复的非同质的出生和死亡过程。本文的主要目的是找出队列的极限特征——平均用户数、阻塞概率和由于频谱需要而导致的服务中断概率的收敛速度的界限。不仅要考虑限制特性的可接受的上限,而且要考虑相应的界限,该界限表明系统变得稳定并且LSA被许可方能够真正访问频谱的时刻。
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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