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Providing Statistical Quality-of-Service Guarantees in Cognitive Radio Networks with Cooperation

机译:提供与合作认知无线电网络中的统计质量保证

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Cognitive radios (CRs) opportunistically sharing the wireless spectrum with the legacy primary system (PS) are promising to improve the spectrum utilization. However, this cognitive spectrum hole access makes the bandwidth of the cognitive radio network (CRN) formed by multiple CRs varies severely, which makes providing quality-of-service (QoS) guarantee over the CRN a very challenging task. Considering cooperative diversity with the merit of alleviating bandwidth variation, this paper proposes a cooperative scheduling algorithm for the CR in the CRN to select a relay path with the lowest packet dropping probability for packet transmissions. Under this scheme, the upper bounds of the mean packet dropping probability have been analytically derived and the corresponding admission control mechanism is further proposed. Analytical results show that the proposed scheme provides a better QoS guarantee than direct transmissions without cooperative relay for the CRN. Simulation results also confirm that traffic sources admitted into the system can absolutely meet their mean packet dropping probability requirements.
机译:认知收音机(CRS)机会与传统主要系统(PS)与传统主要系统(PS)共享无线频谱,以提高频谱利用率。然而,这种认知频谱孔进入使得由多个CRS形成的认知无线电网络(CRN)的带宽严重变化,这使得提供服务质量(QoS)保证在CRN中是非常具有挑战性的任务。考虑到具有缓解带宽变化的优点的合作多样性,本文提出了CRN中CR的协作调度算法,以选择具有最低分组传输概率的中继路径。在该方案下,已经分析了平均分组滴定概率的上限,并进一步提出了相应的进入控制机制。分析结果表明,该方案提供了比CRN合作继电器的直接传输更好的QoS保证。仿真结果还证实,进入系统的交通源绝对可以满足其平均分组丢弃概率要求。

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