Stochastic stability analysis for Vehicular Networked Systems with State-dependent bursty fading channels: A self-triggered approach
Stochastic stability analysis for Vehicular Networked Systems with State-dependent bursty fading channels: A self-triggered approach
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DOI:
10.1016/j.automatica.2020.109352
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Bin Hu
中科院分区:
文献类型:
--
作者:
Bin Hu
Vehicular Networked Systems (VNS) are mobile ad hoc networks where vehicles exchange information over wireless communication networks to ensure safe and efficient operation. It is, however, challenging to ensure system safety and efficiency as the wireless channels in VNS are often subject tostate-dependent deep fadeswhere the data rate suffers a severe drop and changes as a function of vehicle states. Such couplings between vehicle states and channel states in VNS thereby invalidate the use of separation principle to design event-based control strategies. By adopting astate-dependent fading channel model, this paper presents a novel self-triggered scheme under which the VNS ensures efficient use of communication bandwidth while preserving stochastic stability. Under the proposed self-triggered scheme, this paper presents a novel source coding scheme that tracks vehicle’s states with performance guarantee in the presence of state-dependent fading channels. The efficacy and advantages of the proposed scheme over other event-based strategies are verified by a leader–follower example.