Vehicular safety applications have much significance in preventing road accidents and fatalities. Among others, cellular networks\nhave been under investigation for the procurement of these applications subject to stringent requirements for latency, transmission\nparameters, and successful delivery of messages. Earlier contributions have studied utilization of Long-TermEvolution (LTE) under\nsingle cell, Friis radio, or simplified higher layer. In this paper, we study the utilization of LTE undermulticell andmultipath fading\nenvironment and introduce the use of adaptive awareness range. Then, we propose an algorithm that uses the concept of quality\nof service (QoS) class identifiers (QCIs) along with dynamic adaptive awareness range. Furthermore, we investigate the impact of\nbackground traffic on the proposed algorithm. Finally, we utilize medium access control (MAC) layer elements in order to fulfill\nvehicular application requirements through extensive system-level simulations.The results show that, by using an awareness range\nof up to 250m, the LTE system is capable of fulfilling the safety application requirements for up to 10 beacons/s with 150 vehicles\nin an area of 2 Ã?â?? 2 km2.The urban vehicular radio environment has a significant impact and decreases the probability for end-toend\ndelay to be ââ?°Â¤100ms from 93%ââ?¬â??97% to 76%ââ?¬â??78% compared to the Friis radio environment. The proposed algorithm reduces\nthe amount of vehicular application traffic from 21Mbps to 13Mbps, while improving the probability of end-to-end delay being\nââ?°Â¤100ms by 20%. Lastly, use ofMAClayer control elements brings the processing ofmessages towards the edge of network increasing\ncapacity of the system by about 50%.
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