The communication industry is rapidly advancing towards 5G and beyond 5G (B5G) wireless technologies in order to fulfill the ever-growing needs for higher data rates and improved quality-of-service (QoS). Emerging applications require wireless connectivity with tremendously increased data rates, substantially reduced latency, and growing support for a large number of devices. These requirements pose new challenges that can no longer be efficiently addressed by conventional approaches. Artificial intelligence (AI) is considered as one of the most promising solutions to improve the performance and robustness of 5G and B5G systems, fueled by the massive amount of data generated in 5G and B5G networks and the availability of powerful data processing fabrics. As a consequence, a plethora of research on AI-based communication technologies has emerged recently, promising higher data rates and improved QoS with affordable implementation overhead. In this overview paper, we summarize the state-of-the-art of AI-based 5G and B5G techniques on the algorithm, implementation, and optimization levels. We shed light on the advantages and limitations of AI-based solutions, and we provide a summary of emerging techniques and open research problems.

中文翻译：

---

面向 5G 及 5G 之后的人工智能：实现、算法和优化

通信行业正在迅速向 5G 及 5G 之后 (B5G) 无线技术发展，以满足对更高数据速率和更高服务质量 (QoS) 不断增长的需求。新兴应用需要无线连接，以极大地提高数据速率、大幅减少延迟并不断增加对大量设备的支持。这些要求带来了传统方法无法再有效解决的新挑战。人工智能 (AI) 被认为是提高 5G 和 B5G 系统性能和稳健性的最有前途的解决方案之一，这得益于 5G 和 B5G 网络中生成的海量数据以及强大的数据处理结构的可用性。作为结果，最近出现了大量关于基于 AI 的通信技术的研究，承诺更高的数据速率和改进的 QoS 以及负担得起的实施开销。在这篇概述论文中，我们总结了基于 AI 的 5G 和 B5G 技术在算法、实现和优化级别的最新技术。我们阐明了基于 AI 的解决方案的优势和局限性，并提供了新兴技术和开放研究问题的摘要。