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

机译:在蜂窝认知无线电网络中的实时和非实时流量的共处理解决方案

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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:支持认知无线电网络中的实时传输是近年来的热门研究课题。 但是,最先前的作品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作品,通常绝对优先级被提供给实时数据包,即无法保证非实时时间QoS的QoS。 在本文中,我们提出了一种基于最早的截止日期(EDF)调度机制的动态频谱分配方案,以保护蜂窝认知无线电网络中两种流量的QoS。 仿真结果表明,新算法具有与优先级群算法相似的吞吐量,但在两种类型的数据包之间的平均延迟和截止日期缺失率之间实现了更好的平衡。

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