论文标题
朝着主动的HARQ适应迈向Urllc
Towards URLLC with Proactive HARQ Adaptation
论文作者
论文摘要
在这项工作中，我们提出了一种动态决策者算法，以改善5G网络的主动HARQ协议。基于Lyapunov随机优化，我们的适应控制框架动态选择了在随着时间变化的通道条件下的间歇性URLLC流量方案的主动重传次数，而无需与此随机过程相关的任何先验知识。然后，它可以更好地利用无线电访问网络（RAN）延迟，可靠性和资源效率之间的权衡，这在当前的HARQ设计上仍然有限。然后，我们评估了几种HARQ策略的绩效，并表明我们的建议进一步改善了反应性制度的潜伏期，而不会影响资源效率，例如固定的主动重新传输，同时保持目标可靠性。
In this work, we propose a dynamic decision maker algorithm to improve the proactive HARQ protocol for beyond 5G networks. Based on Lyapunov stochastic optimization, our adaptation control framework dynamically selects the number of proactive retransmissions for intermittent URLLC traffic scenarios under time-varying channel conditions without requiring any prior knowledge associated with this stochastic process. It then better exploits the trade-off between Radio Access Network (RAN) latency, reliability and resource efficiency, which is still limited in its realization on current HARQ designs. We then evaluate the performance of several HARQ strategies and show that our proposal further improves latency over the reactive regime without affecting the resource efficiency such as fixed proactive retransmission while maintaining target reliability.
