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Optimizing the UE Transmission Probability for D2D Direct Discovery

Published

Author(s)

David W. Griffith, Fiona Z. Lyons

Abstract

We develop an analytical model to examine the effect of the transmission probability on type~1 direct discovery in Device-to-Device (D2D) Long Term Evolution (LTE) networks. The model gives us the distribution of the time for a User Equipment (UE) to discover another UE in a group of UEs, and we determine the optimal value of the discovery message transmission probability that maximizes the probability of a successfully received transmission. We also derive an upper bound on the UE group size for a given lower limit on the success probability. Finally, we consider the impact of of discovery resource pool parameters such as the number of discovery resources and the pool's time and frequency dimensions.
Conference Dates
December 4-8, 2016
Conference Location
Washington, DC
Conference Title
2016 IEEE Global Communications Conference (GLOBECOM)
Created December 4, 2016, Updated October 22, 2020