Swarm intelligence‐based radio resource management for V2V‐based D2D communication

Souhir Feki, Ahlem Masmoudi, Aymen Belghith, Faouzi Zarai, Mohammad S. Obaidat

2018

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DOI 10.1002/dac.3817
Data confidence 70 medium
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Abstract

Summary Internet of Things is a promising paradigm that provides the future network of interconnected devices. Device‐to‐Device (D2D) communication, which is considered as an enabler for vehicle‐to‐everything applications, has become an emerging technology to optimize network performance. In this paper, we study the Radio Resource Management (RRM) issue for D2D‐based Vehicle‐to‐Vehicle communication. The RRM key role is to assure the proficient exploitation of available resources while serving users according to their quality of service parameters. An Ant Colony Optimization (ACO)‐based Resource Allocation (ACORA) scheme is proposed in this paper. Swarm intelligence algorithm ACO is adopted to reduce the computational complexity while realizing satisfactory performance. Simulation results show promising performance of our proposed ACORA scheme.