支持gpu的智能城市移动网络建模、仿真和规划框架

2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2020-05-01 DOI:10.1109/ZINC50678.2020.9161773

N. Petrovic, Samir Koničanin, Dejan N. Milic, S. Suljovic, S. Panic

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引用次数: 8

摘要

移动网络对我们日常生活的许多方面都产生了重大影响。用户数量和需求不断增加，这对服务提供商提出了许多挑战。高效的资源规划和适应当前需求的能力在部署大规模高性能商用移动网络时至关重要。利用建模和仿真工具可以对计划部署进行更快、更便宜的分析。本文提出了一个针对智能城市中移动网络建模、仿真和规划的框架。该解决方案利用GPGPU方法实现更快的计算。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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GPU-enabled Framework for Modelling, Simulation and Planning of Mobile Networks in Smart Cities

Mobile networks have significant impact on many aspects of our everyday lives. The number of users and requirements increase continuously, which poses many challenges to service providers. Efficient resource planning and ability to adapt to current demands are crucial when it comes to deployment of large-scale and high-performance commercial mobile networks. Leveraging modelling and simulation tools provides faster and cheaper analysis of planned deployments. In this paper, a framework aiming modelling, simulation and planning of mobile networks within smart cities is presented. The solution makes use of GPGPU approach for faster calculations.

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2020 Zooming Innovation in Consumer Technologies Conference (ZINC)

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