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Enhanced Transmission Algorithm for Dynamic Device-to-Device Direct Discovery



Aziza Ben Mosbah, David W. Griffith, Richard A. Rouil


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.
Conference Dates
January 12-15, 2018
Conference Location
Las Vegas, NV
Conference Title
2018 IEEE Consumer Communications and Networking Conference (CCNC)


Long Term Evolution (LTE), Device-to-Device (D2D), D2D Discovery, Proximity Services (ProSe), Simulations, Performance, Algorithm


Ben, A. , Griffith, D. and Rouil, R. (2018), Enhanced Transmission Algorithm for Dynamic Device-to-Device Direct Discovery, 2018 IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, NV, [online], (Accessed June 15, 2024)


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Created January 11, 2018, Updated October 22, 2020