Device to Device (D2D) Communication is one of the technology components of the evolving 5G architecture, as it promises improvements in energy efficiency, spectral efficiency, overall system capacity, and higher data rates. The above noted improvements in network performance spearheaded a vast amount of research in D2D, which have identified significant challenges that need to be addressed before realizing their full potential in emerging 5G Networks. Towards this end, this paper 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. The paper includes detailed algorithmic description for the decision of transmission mode, which maximizes the data rate, minimizes the power consumptions, while taking into consideration the computational load. Simulations show the applicability of BDI agents in jointly solving D2D challenges.

中文翻译：

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5G网络D2D通信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 5G 架构的技术组件之一，因为它有望提高能效、频谱效率、整体系统容量和更高的数据速率。上述网络性能的改进推动了 D2D 的大量研究，这些研究确定了在新兴 5G 网络中充分发挥其潜力之前需要解决的重大挑战。为此，本文提出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能力 (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。论文包括详细的传输模式决策算法描述，在考虑计算负载的同时，最大化数据速率，最小化功耗。模拟显示了 BDI 代理在联合解决 D2D 挑战中的适用性。