With recent advances, Artificial Intelligence (AI) and Machine Learning (ML) approaches have emerged to show great promise in the field of wireless communications. Although some researchers are skeptical due to issues concerning complexity and reliability, benefits include the near-optimal performance or the improvement over current state-of-the-art techniques. Luckily, the big data technology delivers an excellent advantage for studying the essential characteristics of wireless networks that can be integrated with AI and ML approaches. Moreover, the recent advances in deep learning, convolutional neural networks, and reinforcement learning hold significant promise. Indeed, they offer new design approaches for solving some challenging problems that, until recently, were considered intractable.

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人工智能和机器学习在无线通信领域的进展和应用专刊

随着最近的进步，人工智能 (AI) 和机器学习 (ML) 方法已经出现，在无线通信领域显示出巨大的前景。尽管一些研究人员由于涉及复杂性和可靠性的问题而持怀疑态度，但好处包括接近最佳的性能或对当前最先进技术的改进。幸运的是，大数据技术为研究可以与人工智能和机器学习方法集成的无线网络的基本特征提供了极好的优势。此外，深度学习、卷积神经网络和强化学习方面的最新进展具有重大前景。事实上，它们提供了新的设计方法来解决一些直到最近才被认为是棘手的具有挑战性的问题。