Next-generation communication networks can provide high capacity, low latency, and massive connections; however, they introduce novel challenges of management complexity, and traditional mathematical methods cannot well characterize the rational behavior of users. In this article, we pay attention to the methods of artificial intelligence (AI) and game theory. We first review the applications of machine learning (ML) and game theory models in wireless communications and summarize their advantages and disadvantages. After surveying the state of the art, in this article we propose a novel framework combining ML and game theory, which explores and exploits the benefits of the two disciplines. Finally, we apply our novel framework to solve the network selection problem in a 5G ultra-dense and heterogeneous network. Simulation results confirm the advantage of our presented framework on reducing the average delay of users.

中文翻译：

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交互式人工智能与下一代通信网络中的博弈论相遇

下一代通信网络可以提供高容量，低延迟和大量连接。但是，它们带来了管理复杂性的新挑战，而传统的数学方法不能很好地描述用户的理性行为。在本文中，我们关注人工智能（AI）和博弈论的方法。我们首先回顾一下机器学习（ML）和博弈论模型在无线通信中的应用，并总结它们的优缺点。在调查了最新技术之后，本文提出了一个将机器学习和博弈论相结合的新颖框架，该框架探索并利用了这两个学科的优势。最后，我们应用我们新颖的框架来解决5G超密集异构网络中的网络选择问题。