Packet Delivery Ratio Prediction for V2V Based on Radio Environment Map Considering Hidden Terminal Problem
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Packet Delivery Ratio Prediction for V2V Based on Radio Environment Map Considering Hidden Terminal Problem Ayumu Ueda 1
&
Takeo Fujii 1
Received: 11 June 2020 / Revised: 17 September 2020 / Accepted: 30 October 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Recently, vehicle-to-vehicle communication has been envisaged to be one of the technologies for realizing highly safe connected and automated driving. One of the approaches for predicting the radio environment is the use of a measurement-based spectrum database, which stores various pieces of information on the radio environment of data received and collected by vehicles; however, prediction of an accurate packet delivery ratio (PDR) with consideration of packet collisions is difficult if the vehicle density changes after the generation of PDR maps. This paper proposes a method for predicting the PDR with consideration of packet collisions, including the influence of hidden nodes, by using the positions and number of vehicles. Keywords Measurement-based spectrum database . Vehicle-to-vehicle communication . Hidden terminal problem . Radio environment map
1 Introduction Connected and automated driving has recently been recognized as a promising technology for realizing human-centric and efficient mobility systems with the eventual aim of tackling various traffic-related issues such as traffic jams and car accidents [1, 2]. Clearly, connected and automated driving— in which vehicle/traffic information (e.g., location, vehicle speed, and road conditions) is exchanged via vehicle-to-everything (V2X) communication technologies through wireless networksis further expected to pave the way for autonomous vehicles, whose control requires little or no human involvement. On the other hand, vehicle-to-vehicle (V2V) communication (a special type of V2X communication) will suffer from a large number of packet/message collisions because of periodic changes in information that occur for supporting real-time
* Ayumu Ueda [email protected] Takeo Fujii [email protected] 1
Advanced Wireless and Communication Research Center (AWCC), The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan
applications; because of this problem, effective spectrumsensing mechanisms for radio environment estimation are required to achieve the eventual goal of reliable vehicular communication. To this end, many different radio environment measurement technologies have been investigated from both research and industrial perspectives over the last decade; one such technology is the measurement-based spectrum database (MSD), which is known to be an effective method for accurate estimation of such radio environments [3, 4]. In brief, the MSD has been proposed to estimate a surrounding radio propagation environment by the use of actual spectrum measurements and consequent construction and updating of radio environment maps (REMs). The MSD accumulates precollected data and uses it for statistical processing. A previous study [4]
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