基于人工智能的5G网络容量规划与运营

J. Pérez-Romero, O. Sallent, R. Ferrús, R. Agustí
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引用次数: 15

摘要

对未来5G网络的高要求,以及垂直行业(如电子医疗、汽车、能源)新客户所需的支持,对5G运营商在如何平衡投资、用户体验和盈利能力方面构成了巨大挑战。有必要重新审视网络规划和运营的实际方法,充分利用包括知识和智能在内的认知能力,以在多个维度上实现对网络使用的正确理解。在这方面,本文提出了这些规划和操作过程如何依赖于人工智能(AI)概念的愿景,这将允许设计模型来表征许多相关输入对特定操作员目标的影响,并推动不同过程的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence-based 5G network capacity planning and operation
The highly demanding requirements envisaged for future 5G networks together with the required support of new customers from vertical industries (e.g. e-health, automotive, energy) pose a big challenge for operators in 5G on how to balance investments, user experience and profitability. There will be the need to revisit the actual methodologies of network planning and operation, fully exploiting cognitive capabilities that embrace knowledge and intelligence to achieve a proper understanding of the network usage in multiple dimensions. In this respect, this paper presents a vision on how these planning and operation processes can rely on the inclusion of Artificial Intelligence (AI) concepts that will allow devising models to characterize the impact of many correlated inputs on specific operator objectives and to drive decisions for different processes.
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