Distributed Cache Enabled V2X Networks: Proposals, Research Trends and Challenging Issues

TL;DR

This paper proposes a versatile distributed V2X network framework with heterogeneous caching, including various road users, and discusses future research trends and challenges like high-speed transmission and ultra-reliable communication.

Contribution

It introduces a comprehensive V2X system with a distributed architecture and heterogeneous caching, expanding beyond motor-vehicles to include diverse road users and IoT devices.

Findings

Heterogeneous caching improves wireless transmission efficiency.

Potential research trends include network slicing, big data, and machine learning.

Challenges involve urban canyon effects and ultra-reliable low-latency communication.

Abstract

Nowadays, the internet of vehicles (IoV) has been evolved into the stage of vehicle to everything (V2X). However, the majority of existing work focuses on the motor-vehicles. In contrast, the sharing bicycle system is vastly and rapidly deployed as a feasible internet of things (IoT) application scene for the last mile problem (e.g., from station to home/office). Moreover, the internet access of current V2X is relied on the back-haul to roadside unit (RSU) connections. In this paper, other than prior work, we propose a versatile V2X system with a distributed framework and heterogeneous caching method. All the vehicles and devices on-the-road (motor-vehicle, non-motor-vehicle, pedestrian, etc.) are comprehensively included in the proposed networks. We further introduce a heterogeneous cache method for effective wireless transmission while utilizing the massive connected devices. The potential research trends on achieving high speed transmission, deep programming dedicated network slicing are highlighted as well as the big data, machine learning (ML), fog computing based image recognition and reconstruction, to provide some insights for future studies. Finally, the challenging issues, i.e., urban street canyon path loss and channel models, ultra reliable communication and low latency requirements, are discussed.