当前位置: X-MOL 学术IEEE Wirel. Commun. Lett. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Stochastic Optimization of URLLC-eMBB Joint Scheduling With Queuing Mechanism
IEEE Wireless Communications Letters ( IF 6.3 ) Pub Date : 2020-12-22 , DOI: 10.1109/lwc.2020.3046628
Wenheng Zhang , Mahsa Derakhshani , Sangarapillai Lambotharan

This letter proposes a dynamic joint scheduling for the ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) traffic at a sub-frame level with a queuing mechanism, which monitors and controls the latency of each URLLC packet in real time to ensure its strict requirements. We analytically derive the outage probability (i.e., the probability of any URLLC packet drop over all transmission channels) and URLLC expected throughput in addition to the expected value of served URLLC packets. Then, a stochastic optimization problem is formulated to maximize the total throughput for the eMBB services, constraining the URLLC outage probability. Numerical results confirm effectiveness of our queuing policy to significantly reduce the URLLC loss rate while ensuring that the total eMBB throughput is not affected.

中文翻译:

基于排队机制的URLLC-eMBB联合调度的随机优化

这封信提出了一种动态的联合调度,用于通过队列机制在子帧级别对超可靠的低延迟通信(URLLC)和增强型移动宽带(eMBB)流量进行监控,该队列机制可实时监控和控制每个URLLC数据包的延迟时间来确保其严格的要求。我们通过分析得出中断概率(即,在所有传输通道上任何URLLC数据包掉落的概率)和URLLC预期吞吐量,以及所服务的URLLC数据包的预期值。然后,制定了一个随机优化问题,以最大化eMBB服务的总吞吐量,从而限制了URLLC中断的可能性。数值结果证实了我们的排队策略在显着降低URLLC丢失率的同时确保不影响总eMBB吞吐量的有效性。
更新日期:2020-12-22
down
wechat
bug