Device-to-device (D2D) communication, a core technology component of the evolving fifth-generation (5G) architecture, promises improvements in energy efficiency, spectral efficiency, overall system capacity, and higher data rates. These improvements in network performance spearheaded a vast amount of research in D2D, which identified significant challenges that need to be addressed before realizing their full potential in 5G networks, and beyond. Toward this end, this article proposes the use of a distributed intelligent approach to control the generation of D2D networks. More precisely, the proposed approach uses Belief Desire Intention (BDI) intelligent agents with extended capabilities (BDIx) to manage each D2D node independently and autonomously, without the help of the base station. To illustrate the above, this article proposes the DAIS algorithm for the decision of transmission mode in D2D, which maximizes the data rate and minimizes the power consumption in the network, while taking into consideration the computational load. Simulations show the applicability of BDI agents in solving D2D challenges.

中文翻译：

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5G网络中用于D2D通信的分布式人工智能解决方案

设备到设备（D2D）通信是不断发展的第五代（5G）架构的核心技术组件，有望提高能效，频谱效率，整体系统容量和更高的数据速率。网络性能的这些改进带动了D2D领域的大量研究，这些研究确定了要在5G网络及更高版本中发挥其全部潜能之前必须解决的重大挑战。为此，本文提出了使用分布式智能方法来控制D2D网络的生成。更准确地说，所提出的方法使用具有扩展功能（BDIx）的信念愿望意图（BDI）智能代理来独立和自主地管理每个D2D节点，而无需基站的帮助。为了说明上述内容，本文提出了一种用于D2D传输模式决策的DAIS算法，该算法在考虑计算负荷的同时，最大化了数据传输速率，并将网络中的功耗降至最低。仿真显示BDI代理在解决D2D挑战中的适用性。