利用位置服务API实现可持续5G网络的MEC支持的能源合作
MEC-enabled Energy Cooperation for Sustainable 5G Networks Exploiting the Location Service API
摘要：
无线数据流量的大幅增长以及需要超低延迟的延迟敏感应用/服务的出现导致了称为多接入边缘计算（MEC）的新的移动网络（MN）设计范例。在这种情况下，基站（BS）被赋予计算能力，并且它们被密集地部署以增加网络覆盖并向移动用户提供高吞吐量。这些发展需要能源的自我可持续性，以尽量减少向大气中的碳排放和对电网的依赖。作为解决方案，我们提倡整合能量收集（EH）系统，例如，太阳能电池板或风力涡轮机（连同能量存储设备），进入未来的BS和边缘计算系统（即，MEC服务器）。然而，由于覆盖区域内的业务负载和收集的能量变化，存储的能量水平也将变化。为了补偿网络内的绿色能量不平衡，可以通过托管在MEC平台中的能量交易应用来实现能量协作（传输），并且能量分组通过电力分组网格（DC电力线和交换机）从源BS到能量不足BS。在本文中，我们使用基于李雅普诺夫漂移和惩罚优化定理（名为李雅普诺夫）的在线算法联合执行能源分配和能源路由，以实现能源合作，并利用MEC位置服务（LS）应用程序可编程接口（API）。数值结果表明，在正常太阳辐照度下，李雅普诺夫算法能够提供足够的能量，而不受控制参数的影响
英文摘要：
The substantial growth in wireless data traffic, and the emergence of delay-sensitive application/services requiring ultra-low latency, has resulted into a new Mobile Network (MN) design paradigm called Multi-access Edge Computing (MEC). In this, the Base Stations (BSs) are empowered with computing capabilities, and they are densely deployed in order to increase network coverage and provide high throughput to mobile users. These developments require energy self-sustainability in order to minimize the carbon emission into the atmosphere and the dependence on the power grid. As a solution to this, we advocate for the integration of Energy Harvesting (EH) systems, e.g., solar panels or wind turbines (together with energy storage devices), into future BSs and edge computing systems (i.e., MEC servers). However, due to traffic load and harvested energy variations within a coverage area, the stored energy levels will also vary. To compensate for green energy imbalance within the network, energy cooperation (transfer) can be enabled by an energy trading application hosted in the MEC platform, and the energy packets traverse over the Power Packet Grid (DC power lines and switches) from the source BS(s) to the energy-deficient BS(s). In this paper, we jointly perform energy allocation and energy routing using an online algorithm based on Lyapunov drift-and-penalty optimization theorem (named Lyapunov) for enabling energy cooperation, leveraging the MEC Location Service (LS) Application Programmable Interface (API). Our numerical results reveal that the Lyapunov algorithm is able to deliver sufficient amount of energy under normal solar irradiance without the effects of the control parameter
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
