摘要
将协同通信技术引入车联网(VANETs,vehicular ad hoc networks)可以在高速行驶的环境下带来分集增益,从而提升系统的可靠性能,但中继的引入必然导致更多的延迟以及带宽利用率的下降。因此,在综合考虑车辆源-目的端、源-中继端以及中继-目的端三段信道瞬时特性的基础上,提出了适用于车联网中的自适应解码转发DF(decode-and-forward)算法,研究了协作时机与系统误码率SER(symbol error rate)性能。首先选择基于循环冗余校验CRC的DF协作通信方式应用于车联网中;然后提出了一种自适应协作ADF(adaptive DF)算法,即当且仅当中继端能够正确解码源端信息且源-目的端信道传输特性差于中继-目的端时,才采用协作通信方式;最后给出了车辆相对静止与运动两种不同场景下的误码率性能分析。仿真结果表明:该ADF算法在车辆相对静止场景下均优于DF与已有研究中的IAF方式;运动场景下随着车速的提高,相对于DF方式,ADF算法依然可以获得良好的误码率性能。
Adding cooperative communication technology into vehicular ad hoc networks( VANETs)can bring diversity gain and improve system reliability in high-speed driving environment. However,the introduction of relay will inevitably leads to more delays and the decrease of bandwidth utilization.Therefore,on the basis of considering three instantaneous channel gains,namely that of sourcedestination,source-relay and relay-destination,this work proposed an adaptive decode-and-forward( DF)algorithm for VANETs,then explored the cooperation opportunity and the performance of system symbol error rate( SER). Firstly,we chose the cooperative communication mode of DF based on cyclic redundancy check. Secondly,we proposed an adaptive decode-and-forward( ADF) algorithms,i. e.cooperative communication is adopted only if the relaying terminal can correctly decode the source information,and only if the source-destination channel gain is worse than that of the relay-destination terminal.Finally,we made performance analysis of SER in two different scenes of vehicle,i.e.relative static vs moving.Simulation results show that,in the scene of relative static,the ADF algorithm is superior totraditional DF or the IAF method in an existing research.Also,with the increase of the vehicle speed in the moving scene,the ADF algorithm can still outperform traditional DF.
作者
张红玲
林霏
陶梦杰
ZHANG Hong-ling;LIN Fei;TAO Meng-jie(School of Electrical Engineering and Automation,Qilu University of Technology(Shandong Academy of Sciences),Jinan 250353,Chin)
出处
《齐鲁工业大学学报》
2018年第4期71-75,共5页
Journal of Qilu University of Technology
基金
山东省高等学校科技发展计划(J14LN04)
关键词
车联网
解码转发
协作时机
误码率
VANETs
DF (decode-and-forward)
cooperation opportunity
SER (symbol error rate)