메뉴 건너뛰기

ENG

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
(COMSATS Institute of Information Technology) (COMSATS Institute of Information Technology) (Kwangwoon University)
저널정보
대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.7 No.1
발행연도
수록면
16 - 21 (6page)
DOI
10.5573/IEIESPC.2018.7.1.016

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
이 논문의 연구방법이 궁금하신가요?
🏆
연구결과
이 논문의 연구결과가 궁금하신가요?
AI에게 요청하기
추천
검색
질문

초록· 키워드

The goal of vehicular ad hoc networks (VANETs) is to provide safety and comfort to travelers, drivers, and pedestrians during their journeys on the roads. To support vehicular communications under dynamic traffic conditions and diverse operating environments, different communications technologies have been implemented and tested. The availability of Terrestrial Trunked Radio (TETRA) opens a new path for vehicular communications. To explore these opportunities, in this paper, we carry out a performance analysis of TETRA technology on a higher frequency band of 5.4 GHz for vehicular communications. The graph for bit error under the TU-50 and HT-200 standards for the traffic channel (TCH) 7/2 channel is achieved against different targeted data rates. The implementation of TETRA technology supports a high data rate and reliability in vehicular communications for VANETs. The analysis also shows that the VANET role in emergency and disaster situations where limited communications resources are available can be enhanced using TETRA technology, which can provide communications paths for vehicles in VANETs. Moreover, this technology can also provide future support for the usage of a variety of multimedia services in VANETs in the future.
#Terrestrial trunked radio (TETRA) #Performance analysis #Data rate #Vehicular Ad Hoc network
상세정보 수정요청해당 페이지 내 제목·저자·목차·페이지
정보가 잘못된 경우 알려주세요!

목차

  1. Abstract
  2. 1. Introduction
  3. 2. Implementation of TETRA Technology in VANETs
  4. 3. TETRA Propagation Model for VANETS
  5. 4. VANET Performance Analysis Under TETRA Standards
  6. 5. Conclusion
  7. References

참고문헌

참고문헌 신청

최근 본 자료

전체보기
260319_딥리서치
260319_AI리더
260304_새학기에이전트
260122_AIagent
260304_아그논문롤
260127_아그논문
260127_AI뷰어
UCI(KEPA) : I410-ECN-0101-2018-569-001799563