蜂窝认知无线网络中实时与非实时业务协同服务的解决方案

Xiang Mao, Yonggang Liu, J. Mcnair
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引用次数: 0

摘要

在认知无线网络中支持实时传输是近年来的研究热点。然而,以往的工作大多只考虑网络中的实时数据包,而没有考虑实时和非实时流量的共存。对于考虑非实时流量的工作,通常会对实时报文给予绝对优先级,而不能保证非实时报文的QoS。本文提出了一种基于最早截止日期优先(EDF)调度机制的动态频谱分配方案,以保证蜂窝认知无线网络中两种业务的QoS。仿真结果表明,该算法具有与优先队列算法相似的吞吐量,但在两类数据包的平均延迟和截止日期缺失率方面实现了更好的平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A solution for Co-Service of real-time and non-realtime traffic in cellular cognitive radio networks
Supporting real-time transmission in a cognitive radio network has been a hot research topic in recent years. However, most previous works only considered real-time packets in the network rather than a co-existence of real-time and non-realtime traffic. For the works considering non-realtime traffic, usually absolute priority is given to real-time packets that the QoS of non-realtime ones cannot be guaranteed. In this paper, we propose a dynamic spectrum allocation scheme based on Earliest Deadline First (EDF) scheduling mechanism to preserve the QoS of both kinds of traffic in cellular cognitive radio networks. Simulation results demonstrate that the new algorithm has a similar throughput as the priority queue algorithm but achieves better balance in the average delay and deadline missing rate between the two types of packets.
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