论文标题
通过移动边缘计算的无线系统中的潜伏预算分析和优化
Analysis and Optimization of the Latency Budget in Wireless Systems with Mobile Edge Computing
论文作者
论文摘要
我们提出了一个框架，以分析具有移动边缘计算（MEC）的无线系统中的延迟预算。我们的重点是远程操作和远程植物学，作为代表关键任务上行链路密集型物联网系统的用例，对低延迟和高可靠性有要求。这项研究是由一个普遍的问题激发的：可靠性和延迟限制系统的最佳压缩策略是什么？我们通过研究从多传感器IoT设备到基站的上行链路连接的延迟来解决这个问题。这是一个关键的链接，其及时可靠地转移了来自众多传感器的潜在数据。我们介绍了一个综合模型，用于延迟预算，并结合了数据压缩和数据传输。上行链路延迟是一个随机变量，其分布取决于设备的计算功能以及无线链接的属性。我们提出了两个相对于两种传输策略的优化问题：（1）被打断约束，（2）延迟约束。我们在可靠性标准下得出最佳系统参数。我们表明，与预期潜伏期的优化相比，所获得的结果优越。
We present a framework to analyse the latency budget in wireless systems with Mobile Edge Computing (MEC). Our focus is on teleoperation and telerobotics, as use cases that are representative of mission-critical uplink-intensive IoT systems with requirements on low latency and high reliability. The study is motivated by a general question: What is the optimal compression strategy in reliability and latency constrained systems? We address this question by studying the latency of an uplink connection from a multi-sensor IoT device to the base station. This is a critical link tasked with a timely and reliable transfer of potentially significant amount of data from the multitude of sensors. We introduce a comprehensive model for the latency budget, incorporating data compression and data transmission. The uplink latency is a random variable whose distribution depends on the computational capabilities of the device and on the properties of the wireless link. We formulate two optimization problems corresponding to two transmission strategies: (1) Outage-constrained, and (2) Latency-constrained. We derive the optimal system parameters under a reliability criterion. We show that the obtained results are superior compared to the ones based on the optimization of the expected latency.
