MEC辅助的C-V2X场景中面向低时延连接的高效锚点部署
Efficient Anchor Point Deployment for Low Latency Connectivity in MEC-Assisted C-V2X Scenarios
AI总结：
针对MEC辅助C-V2X场景中的低时延需求，本文提出动态部署边缘锚点网络功能并进行终端分配，将其建模为多目标优化问题，并设计贪心启发式算法，在降低时延的同时减少网络重配置开销。
摘要：
下一代蜂窝网络将在不同垂直行业的演进中发挥关键作用。低时延将成为许多相关用例中的主要需求。在终端设备高移动性的场景（如车联网通信）中，这一需求尤其具有挑战性。多接入边缘计算（Multi-Access Edge Computing，MEC）范式旨在满足这一需求。在本文中，我们提出在边缘位置动态部署锚点网络功能，并将终端分配给这些锚点，其联合目标是最小化通信时延并降低网络开销。我们将该问题形式化定义为多目标优化问题，并提出一种新颖的启发式贪心算法来近似求解。与基线策略和当前最先进的时延最小化策略相比，该算法表现更优，同时减少了由网络重配置引起的开销。
英文摘要：
Next-generation cellular networks will play a key role in the evolution of different vertical industries. Low latency will be a major requirement in many related uses cases. This requirement is specially challenging in scenarios with high mobility of end devices, such as vehicular communications. The Multi-Access Edge Computing (MEC) paradigm seeks to satisfy it. In this article we propose the dynamic deployment of anchor point network functions at edge locations and the assignment of terminals to these anchor points with the joint objective of minimizing communications latency and reducing network overhead. We formally define the problem as a multi-objective optimization and also propose a novel heuristic greedy algorithm for approximating the solution. This algorithm compares favorably with baseline and state-of-the-art strategies for latency minimization while reducing the overhead caused by network reconfigurations.
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。
