Journal article Open Access

Distributed Artificial Intelligence Solution for D2D Communication in 5G Networks

Iacovos Ioannou; Vasos Vassiliou; Christophoros Christophorou; Andreas Pitsillides

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. This paper proposes the DAIS algorithm for the
decision of transmission mode in D2D, which maximizes the data rate and minimizes the power consumption, while taking
into consideration the computational load. Simulations show the applicability of BDI agents in solving D2D challenges.

This work has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 739578 and the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development.
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