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A solution for Co-Service of real-time and non-realtime traffic in cellular cognitive radio networks

机译:蜂窝认知无线电网络中实时和非实时流量协同服务的解决方案

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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.
机译:近年来,在认知无线电网络中支持实时传输一直是研究的热点。但是,大多数以前的工作仅考虑网络中的实时数据包,而不是实时和非实时流量的共存。对于考虑非实时流量的工作,通常将绝对优先级给予实时数据包,以确保不能保证非实时流量的QoS。在本文中,我们提出了一种基于最早截止时间优先(EDF)调度机制的动态频谱分配方案,以保留蜂窝认知无线电网络中两种业务的QoS。仿真结果表明,新算法具有与优先级队列算法相似的吞吐量,但是在两种类型的数据包之间的平均延迟和截止期限丢失率方面达到了更好的平衡。

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