实现3GPP V2X 5G新无线电资源高效分配的灵活数字命理配置

ThanhTuan Nguyen, Sondes Kallel, N. Aitsaadi, C. Adjih, Ilhem Fajjari
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引用次数: 3

摘要

应用程序流的低延迟和高可靠性通信是5G蜂窝网络的主要目标之一,这与联网自动驾驶汽车尤其相关。然而,有效的无线资源分配是一个复杂的问题。为了解决这一问题,我们提出通过自适应物理层配置(APC)算法对物理层数字配置进行微调,以最大化有效传输数据包(ETP)。此外,我们还提出了一种自适应方案,以最大限度地提高期望的数据包服务速率,同时避免低优先级逻辑通道(LC)的饥饿现象。基于大量的仿真,结果表明我们的提议在ETP最大化和低优先级lc的饥饿最小化方面取得了良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Flexible Numerology Configuration for Efficient Resource Allocation in 3GPP V2X 5G New Radio
Low latency and high-reliability communications for applications' flows is one of the main 5G cellular network objective, which is especially relevant for connected autonomous vehicles. However, efficient wireless resource allocation is a complex. To address this problem in this paper, we propose to adapt the physical (PHY) layer numerology configuration by fine-tuning it with Adaptive PHY Layer Configuration (APC) algorithm in aim to maximize the Effective Transmitted Packet (ETP). Besides, we propose an adaptive scheme to maximize the expected packet serving rate while avoiding the starvation phenomenon of low priority Logical Channels (LC). Based on extensive simulations, results show that our proposal achieves good performance in terms of ETP maximization and starvation minimization of low priority LCs.
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