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首页> 外文期刊>Communications, IEEE Transactions on >Cognitive Radio Networks With Probabilistic Relaying: Stable Throughput and Delay Tradeoffs
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Cognitive Radio Networks With Probabilistic Relaying: Stable Throughput and Delay Tradeoffs

机译：具有概率中继的认知无线电网络：稳定的吞吐量和延迟权衡

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摘要

This paper studies fundamental throughput and delay tradeoffs in cognitive radio systems with cooperative secondary users. We focus on randomized cooperative policies, whereby the secondary user (SU) serves either its own queue or the primary users (PU) relayed packets queue with certain service probability. The proposed policy opens room for trading the PU delay for enhanced SU delay, and vice versa, depending on the application QoS requirements. Towards this objective, the system's stable throughput region is characterized. Furthermore, the moment generating function approach is employed and generalized for our system to derive closed-form expressions for the average packet delay for both users. The accuracy of these expressions is validated through simulations. Analytical and simulation results reveal that the service probability can steer the system into prioritizing PU's traffic at the expense of SU's QoS, or vice versa, independently from the admission probability. Alternatively, the ability of the admission probability to control the throughput and delay at the PU or the SU depends on the selected value for the service probability as well as the channel conditions. Finally, it is shown how the service and admission probabilities could be used to achieve the desired QoS level to both PU and SU.
机译：本文研究了具有协作辅助用户的认知无线电系统中的基本吞吐量和延迟权衡。我们关注于随机合作策略，即次要用户（SU）为自己的队列服务或主要用户（PU）中继数据包队列具有一定的服务概率。所提出的策略为交换PU延迟以提高SU延迟提供了空间，反之亦然，这取决于应用程序QoS要求。为了实现这一目标，对系统的稳定吞吐量区域进行了表征。此外，矩量生成函数方法在我们的系统中被采用和推广，以得出两个用户的平均分组延迟的闭式表达式。这些表达式的准确性已通过仿真验证。分析和仿真结果表明，服务概率可以独立于准入概率，以牺牲SU的QoS为代价，引导系统优先处理PU的流量，反之亦然。可替代地，准入概率控制PU或SU处的吞吐量和延迟的能力取决于用于服务概率以及信道条件的所选值。最后，显示了如何使用服务和准入概率来达到PU和SU的所需QoS级别。

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