  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.
