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On-Device Cognitive Spectrum Allocation for Coexisting URLLC and eMBB Users in 5G Systems
IEEE Transactions on Cognitive Communications and Networking ( IF 7.4 ) Pub Date : 2020-07-08 , DOI: 10.1109/tccn.2020.3007890
Shu-Feng Cheng , Li-Chun Wang , Chien-Hwa Hwang , Ju-Ya Chen , Li-Yu Cheng

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.

中文翻译:

5G系统中同时存在的URLLC和eMBB用户的设备上认知频谱分配

超可靠和低延迟通信(URLLC)在5G垂直市场中扮演着关键角色,但带来了许多技术挑战,尤其是在与增强型移动宽带(eMBB)客户共享频谱时。这项研究旨在克服完全分离(FS)方法的频谱效率低下问题和完全重叠(FO)方法的争用问题。我们根据数据包传输状态的当前成功和失败状态,通过动态调整对eMBB和URLLC流量使用共享频谱的概率,提出了一种用户启动的概率弹性资源(UPER)方法。对于UPER,FS和FO以及部分重叠(PO)共享频谱方法,得出成功传输的概率。我们发现,UPR方法的成功传输概率分别比FS和FO方法高28%和46%。我们将进一步评估URLLC和eMBB的可靠性和吞吐量性能。当URLLC数据包负载较低时,UPER方法几乎可以达到FS方法的最佳性能。当URLLC数据包负载很高时,我们证明,与其他方法相比,UPER可以将可靠性性能提高多达54%。
更新日期:2020-07-08
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