An Improved HMM Model for Information Perception in V2X Network
Lei Du, Qing Ma, Jianguo Zhang, Chao Zhang, Yunxia Wang, Qian Gu · 2019
Signal collision is a very common phenomenon in broadcast wireless communication such as V2X network by lacking of central regulator due to its high speed and complex traffic situation. However, it also contains useful information which can enhance environmental awareness capabilities to adjusting transmit power for keeping the channel's busy ratio under a desired limitation especially. This paper suggests an improved HMM model for information perception by measurement on collision time's length without any changes in V2X communication standard or wireless hardware. Essentially, it's designed to estimate the number of collision nodes by combing the characters of BSM as the apriori knowledge and the periodic surveillance records on control channel as the measurement information. The significant change compare to our previous work is in the initial conditions estimation with types of BSM which is more realistic. The clogged city scenario which induces signal collision easily was selected for test the performance of suggested method with a fully connected network. Computer simulation's results showed that the suggested model can work well with high accuracy also even with different types of BSM which contains kinds of additional information.