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On-Device Cognitive Spectrum Allocation for Coexisting URLLC and eMBB Users in 5G Systems

机译:用于在5G系统中共存URLLC和EMBB用户的设备认知频谱分配

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Ultra Reliable and Low Latency Communications (URLLC) play a key role in 5G vertical markets, but pose many technical challenges especially when sharing the spectrum with Enhanced Mobile Broadband (eMBB) customers. This study aims to overcome the spectrum inefficiency issue of fully separate (FS) approach and the contention issue of the fully overlap (FO) approach. We present a user-initiated probability elastic resource (UPER) approach by dynamically adjusting the probability of using the shared spectrum for eMBB and URLLC traffic based on the current success and failure status of packet transmission status. The probabilities of successful transmission are derived for UPER, FS, and FO and partially overlap (PO) sharing spectrum approaches. We find that the successful transmission probability of UPER approach is 28% and 46% higher than FS and FO approaches, respectively. We further evaluate the reliability and throughput performance of URLLC and eMBB. When the URLLC packet load is low, the UPER method can almost achieve the best performance of the FS method. When the URLLC packet load is high, we show that UPER can improve the reliability performance up to 54% compared with other methods.
机译:超可靠和低延迟通信(URLLC)在5G垂直市场中发挥着关键作用,但是在与增强的移动宽带(EMBB)客户共享频谱时,尤其是在分享频谱时构成许多技术挑战。本研究旨在克服完全分离(FS)方法的频谱效率,以及完全重叠(FO)方法的争夺问题。我们通过动态调整使用共享频谱的概率来提供用户启动的概率弹性资源(UPER)方法,根据数据包传输状态的当前成功和故障状态使用共享频谱和URLLC流量的概率。成功传输的概率是针对UPER,FS和FO和部分重叠(PO)共享频谱接近的概率。我们发现Uper方法的成功传输概率分别比FS和FO接近的28%和46%。我们进一步评估了URLLC和EMBB的可靠性和吞吐量性能。当URLLC数据包负载低时,UPER方法几乎可以实现FS方法的最佳性能。当URLLC数据包负载很高时,与其他方法相比,UPER可以提高可靠性性能高达54%。

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