Enhanced transmission algorithm for dynamic device-to-device direct discovery

In order to support the increasing demand for capacity in cellular networks, Long Term Evolution (LTE) introduced Proximity Services (ProSe) enabling Device-to-Device (D2D) communications, defining several services to support such networks. We are interested in the performance in out-of-coverage scenarios of one of these services: direct discovery. As defined in the standard, network and configuration parameters for direct discovery are predefined and do not change over time, which creates an inability to adjust to variations in topologies, number of operating devices, and/or users' mobility during the discovery process. In this paper we propose an enhanced discovery algorithm that, building on previous works, allows users to adapt to potential variations in the discovery group, using optimized transmission probabilities and transmission success probabilities. The performance of this algorithm is evaluated, and we demonstrate gains in the accuracy of the discovery information, and in the time required for discovery.