Sidelink Group Resource Scheduling for Platoons in Cellular Vehicle-to-Vehicle Communications

Weighted Energy-Efficiency Maximization for a UAV-Assisted Multiplatoon Mobile-Edge Computing System

“…The resource scheduling of swarm of intelligent connected vehicles have been extensively studied as a promising approach to improve road safety and traffic efficiency [20]- [24]. In [20], Peng et al jointly optimize the computing resources, spectrum allocation and vehicles' cache amount through a multi-agent deep deterministic policy gradient (MADDPG)based method, where the number of offloaded tasks is constructed as the system objective.…”

“…In [22], Hegde et al have scheduled 3GPP radio and vehicle mobility management to improve vehicular networks' QoS. Differently, in [24], Hegde et al optimized time and subchannel allocation scheme to improve the QoS of vehicular networks based on sidelink group scheduling and mobility for platoons. In [23], radio resource management is considered to maximize a holistic reward function for the group's collective success based on multi-agent reinforcement learning (MARL) approach.…”

“…Based on (24), we can get the following results. Lemma 1: Suppose B k is symmetric positive definite, and B k+1 is determined by equation ( 24), then the necessary and sufficient condition for B k+1 to be symmetric positive definite is y T k s k > 0.…”

“…The sufficiency will be proved in the following paragraph. Suppose that y T k s k > 0 and B k is positive definite, then according to (24), for any d ∈ R n and d ̸ = 0, it holds that:…”

“…Given the fact that the Armijo line-search criterion cannot guarantee y T k s k > 0, the update formula of B k can be adjusted to ensure the symmetric positive definiteness of matrix sequence B k when the criterion is adopted. Thus, we can solve the feasible research direction d k using (24) and (26).…”