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Statistical Delay QoS Protection for Primary Users in Cooperative Cognitive Radio Networks

机译:协作认知无线电网络中主要用户的统计延迟QoS保护

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摘要

In cooperative cognitive radio networks, where secondary users (SU) can relay the signal of primary user (PU) in exchange for PU's licensed spectrum, most existing works employ deterministic quality-of-service (QoS) guarantee in terms of minimum required transmission rate for PU's protection. In this letter, we adopt the statistical QoS requirement characterized by for PU's delay QoS provisioning. By applying the theory, we further convert to the equivalent and formulate the corresponding SU's throughput maximization problem. Then, we obtain the optimal joint time-slot allocation scheme, where the time-slot division adapts to both channel conditions and PU's delay QoS requirements, such that not only PU's statistical delay QoS requirement can be well guaranteed, but also SU's throughput can be optimized. Moreover, we also develop a fixed time-slot allocation scheme that only varies with PU's delay QoS requirements. Simulation results show that both the optimal and fixed allocation schemes can flexibly perform time-slot divisions according to the delay QoS requirements of PU's traffic, but the developed optimal scheme outperforms the fixed time-slot allocation scheme.
机译:在协作认知无线电网络中,辅助用户(SU)可以中继主要用户(PU)的信号以换取PU许可的频谱,大多数现有作品采用确定性服务质量(QoS)保证来保证最低要求的传输速率保护PU。在这封信中,我们采用了统计性QoS要求,其特征是PU的延迟QoS设置。通过应用该理论,我们进一步转换为等效值,并制定相应的SU的吞吐量最大化问题。然后,我们获得了最优的联合时隙分配方案,其中时隙划分适应信道条件和PU的延迟QoS要求,从而不仅可以很好地保证PU的统计延迟QoS要求,而且SU的吞吐量也可以得到保证。优化。此外,我们还开发了一种固定的时隙分配方案,该方案仅随PU的延迟QoS要求而变化。仿真结果表明,最优分配方案和固定分配方案都可以根据PU业务的时延QoS要求灵活地进行时隙划分,但是所开发的最优方案优于固定时隙分配方案。

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