Many use cases have been presented on providing convenience and safety for vehicles employing wireless access in vehicular environments and long‐term evolution communication technologies. As the 70‐MHz bandwidth in the 5.9‐GHz band is allocated as an intelligent transportation system (ITS) service, there exists the issue that vehicular communication systems should not interfere with each other during their usage. Numerous studies have been conducted on adjacent interfering channels, but there is insufficient research on vehicular communication systems in the ITS band. In this paper, we analyze the interference channel performance between communication systems using distribution functions. Two types of scenarios comprising adjacent channel interference are defined. In each scenario, a combination of an aggressor and victim network is categorized into four test cases. The minimum requirements and conditions to meet a 10% packet error rate are analyzed in terms of outage probability, packet error rate, and throughput for different transmission rates. This paper presents an adjacent channel interference ratio and communication coverage to obtain a satisfactory performance.
An indoor sensor fusion localization system using fire facility utilizes an indoor fire facility as LBS infra, and can provide the position and emergency information (crime, missing, disaster, etc.) of dedicated terminal holders or smart phone users at indoor and outdoor locations to the guardians or related organizations (police and National Emergency Management Agency) by applying localization node to the fire prevention infra such as emergency guide light and fire detector. Also, the system is capable of indoor localization with an error range of several meters. Various attempts have been made regarding the domestic localization methods, but the GPS is not capable of indoor localization and the mobile communication base station Cell-ID method has low localization accuracy (Kim et al. 2012). Also, even though precise localization is necessary indoors or in large underground space, the localization
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.