To satisfy tight latency constraints, ultra–reliable low latency communications (URLLC) traffic is scheduled by overlapping the on–going enhanced mobile broad band (eMBB) transmissions (i.e., puncturing approach), which causes eMBB users unprecedented rate loss and hence degraded quality–of–service (QoS). To tackle this issue, this letter proposes to achieve QoS tradeoff between eMBB and URLLC in 5G networks. We jointly optimize bandwidth allocation and overlapping positions of URLLC users’ traffic with deep deterministic policy gradient algorithm observing channel variations and URLLC traffic arrivals. Simulation results show that the proposed system–wide tradeoff method achieves the best tradeoff performance.

中文翻译：

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5G网络中基于深度强化学习的eMBB和URLLC联合调度

为了满足严格的延迟限制，超可靠低延迟通信 (URLLC) 流量通过重叠正在进行的增强型移动宽带 (eMBB) 传输（即打孔方法）来调度，这会导致 eMBB 用户前所未有的速率损失并因此降低质量服务（QoS）。为了解决这个问题，这封信建议在 5G 网络中实现 eMBB 和 URLLC 之间的 QoS 权衡。我们使用深度确定性策略梯度算法观察信道变化和 URLLC 流量到达，共同优化 URLLC 用户流量的带宽分配和重叠位置。仿真结果表明，所提出的全系统权衡方法实现了最佳的权衡性能。