Finite State Markov Channel for Dedicated Short Range Communication(DSRC)

• Main Authors: Fu-Tsung Huang, 黃富聰
• Other Authors: Jia-Chyi Wu
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/82279261987772701581

碩士 === 國立臺灣海洋大學 === 通訊與導航工程系 === 97 === The object of this study is to model a wireless fading channel by Jakes model and log-normal shadowing model. We assume the DSRC system channel can be modeled by Jakes model with log-normal shadowing. The DSRC system provides the transmission LOS (line of sight) of security information for vehicle of the movements and the NLOS (non-line of sight) provides wireless, real time, long distance and two-way communication. After analyzing the channels, we utilize the signal-to-noise ratio to partition the channel state in DSRC system, and described by finite-state Markov channels. We also discuss and compare the transition probability and the steady state probability of every state. After dividing the receiving the signal-to-noise ratio into finite space, it is able to use of finite-state Markov channels model to construct the wireless Rayleigh fading channels or other fading channels. These effective and reliable models can divide the signal-to-noise ratio of receiver and get useful system information to improve the functions of system effectively.