@inproceedings{51f3862e010f41f9aa6fe62a0e3b8820,
title = "Vehicular Safety Application Identifier algorithm for LTE VANET server",
abstract = "Vehicular communications have been an incentive for driver safety and ultimately autonomous smart vehicles. These vehicular networks have strict requirements with transmission frequency, range, and delay. From previous contributions, Long Term Evolution (LTE) has been found to meet the requirements for vehicular networks. Extensive realistic system level simulations, including multipath and multi cell environments, have been carried out to evaluate the performance of LTE networks for vehicular communications. This paper improves upon previously contributed simulations by introducing Safety Application Identifier along with an algorithm that implements differentiated Quality of Service (QoS) for different safety applications that are handled by the vehicular server located within the LTE core network. Results show that the probability of end-to-end delay below 100 ms increases by 20%, downlink goodput of the system improves reducing the amount of vehicular application traffic, and eventually the number of downlink flows is reduced by 60%; improving network capacity. Moreover, with the implementation of the proposed algorithm, high QoS can be achieved for vehicular safety applications in terms of delay and packet delivery.",
keywords = "algorithm, computer science, vehicular communications, smart vehicles",
author = "Ansari, {Shuja Shahid} and Tuleen Boutaleb and Carlos Gamio and Sinan Sinanovic and Ioannis Krikidis and Marvin S{\'a}nchez",
note = "Changed template from paper to proceeding - ET AAM: uploaded 19-12-16; no embargo ",
year = "2016",
month = dec,
day = "5",
doi = "10.1109/ICUMT.2016.7765229",
language = "English",
isbn = "9781467388191",
publisher = "IEEE",
pages = "37--42",
booktitle = "2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2016",
address = "United States",
}