Minimizing E2e Delay in V2x Over Cellular Networks: Review and Challenges

Abstract

V2X (Vehicle-to-Everything) evolution over cellular networks has been an excelling topic with the advances of high throughput and low latency LTE networks, and the introduction of 5G networks. According to recent researches, obtaining acceptable End-to-End (E2E) delay has been a challenging design process since data travels through several steps from the originating source to the data center and vice versa. V2X latency comprises mainly of three levels: source processing, cellular network, and data center processing. Delay reduction can be achieved on the three levels. However, many conventional solutions have not reached the required and acceptable range of latency to enable V2X communication over cellular networks. In this paper, a general review of challenges to make V2X feasible on cellular network has been discussed, and the proposed solutions in the literature has been introduced. As a conclusion, a various types of aiding tools to design and test V2X tools are given, so that a right path should be taken to consider challenges and improving design metrics.

A smart emergency response system based on deep learning and Kalman filter: the case of COVID-19

“…The interfaces use uplink and downlink to implement vehicle-to-vehicle communication [23] as illustrated in Figure 1. According to 3GPP, these interfaces have the capability to transfer 20 GB of data per second, from the base station to a device connected to the network, and half the way back [29]. The data is sent in 802.11 [30], [31] standard ethernet frames as shown in Figure 3.…”