arXiv subjects

Ali Rakhshan

Publications and source records attributed to Ali Rakhshan.

6 recordsLinked to original sources

arXiv2026

CN2F: A Cloud-Native Cellular Network Framework

Upcoming cellular networks aim to improve the efficiency and flexibility of mobile networks by incorporating various technologies, such as Software-Defined Networking (SDN), Network Function Virtualization (NFV), and Network Slicing (NS). There exist open-source projects that implement components of different cellular generations. In this paper, we elaborate on how to use these open-source projects to realize a flexible and extendable testbed for conducting experiments on the future generation of cellular networks. In particular, a Cloud-Native Cellular Network Framework (CN2F) is presented, which uses OpenAirInterface's codebase to generate cellular Virtual Network Functions (VNFs) and deploys Kubernetes to disperse and manage them among multiple worker nodes. Moreover, CN2F leverages ONOS and Mininet to emulate the effect of the IP transport networks in the fronthaul and backhaul of real-world cellular networks. Using CN2F, we implement different network scenarios, including Edge Computing (EC), Cloud Computing (CC), and Radio Access Network (RAN) slicing, to showcase the effectiveness of the proposed testbed for academia and industrial Research and Development (R&D) activities.

cs.NI↗

arXiv2019

Tuning Collision Warning Algorithms to Individual Drivers for Design of Active Safety Systems

Every year, many people are killed and injured in highway traffic accidents. In order to reduce such casualties, collisions warning systems has been studied extensively. These systems are built by taking the driver reaction times into account. However, most of the existing literature focuses on characterizing how driver reaction times vary across an entire population. Therefore, many of the warnings that are given turn out to be false alarms. A false alarm occurs whenever a warning is sent, but it is not needed. This would nagate any safety benefit of the system, and could even reduce the overall safety if warnings become a distraction. In this paper, we propose our solution to address the described problem; First, we briefly describe our method for estimating the distribution of brake response times for a particular driver using data from a Vehicular Ad-Hoc Network (VANET) system. Then, we investigate how brake response times of individual drivers can be used in collision warning algorithms to reduce false alarm rates while still maintaining a high level of safety. This will yield a system that is overall more reliable and trustworthy for drivers, which could lead to wider adoption and applicability for V2V/V2I communication systems. Moreover, we show how false alarm rate varies with respect to probability of accident. Our simulation results show that by individualizing collision warnings the number of false alarms can be reduced more than $50\%$. Then, we conclude safety applications could potentially take full advantage of being customized to an individual's characteristics.

cs.NI↗

arXiv2019

Driver-Based Adaptation of Vehicular Ad Hoc Networks for Design of Active Safety Systems

This paper studies the need for individualizing vehicular communications in order to improve collision warning systems for an N-lane highway scenario. By relating the traffic-based and communications studies, we aim at reducing highway traffic accidents. To the best of our knowledge, this is the first paper that shows how to customize vehicular communications to driver's characteristics and traffic information. We propose to develop VANET protocols that selectively identify crash relevant information and customize the communications of that information based on each driver's assigned safety score. In this paper, first, we derive the packet success probability by accounting for multi-user interference, path loss, and fading. Then, by Monte carlo simulations, we demonstrate how appropriate channel access probabilities that satisfy the delay requirements of the safety application result in noticeable performance enhancement.

cs.NI↗

arXiv2017

The Effect of Interference in Vehicular Communications on Safety Factors

This paper studies how the interference of vehicular communications affects the safety of vehicles in a vehicular ad hoc network. Different signal propagation models with and without carrier sensing are considered for the dissemination of periodic safety messages. Then, by employing the results for different packet success probability of the vehicles, we compare the expected collision probability of vehicles for different signal fading models. Our results show how the collision probabilities of vehicles in the network vary with respect to different models and designs.

cs.NI↗

arXiv2015

A New Approach to Customization of Collision Warning Systems to Individual Drivers

This paper discusses the need for individualizing safety systems and proposes an approach including the Real-Time estimation of the distribution of brake response times for an individual driver. While maintaining high level of safety, the collision warning system should send "tailored" responses to the driver. This method could be the first step to show that safety applications would potentially benefit from customizing to individual drivers' characteristics using VANET. Our simulation results show that, as one of the imminent and preliminary outcomes of the new improved system, the number of false alarms will be reduced by more than 40%. We think this tactic can reach to even beyond the safety applications for designing the future innovative systems.

cs.OH↗

arXiv2014

Real-Time Estimation of the Distribution of Brake Response Times for an Individual Driver Using Vehicular Ad Hoc Network

Adapting the functioning of the collision warning systems to the specific drivers' characteristics is of great benefit to drivers. For example, by customizing collision warning algorithms we can minimize false alarms, thereby reducing injuries and deaths in highway traffic accidents. In order to take the behaviors of individual drivers into account, the system needs to have a Real-Time estimation of the distribution of brake response times for an individual driver. In this paper, we propose a method for doing this estimation which is not computationally intensive and can take advantage of the information contained in all data points.

cs.OH↗