Task assignment strategy for space-air-ground integrated vehicular networks oriented to user demand

To improve the user network service quality experience in space-air-ground integrated vehicular networks (SAGVN) and solve the problem of collaboration among different networks, a task allocation strategy for SAGVN oriented on user demand is proposed. Based on the user demand of signal strength, delay, network cost and bandwidth, the utility function theory and analytic hierarchy process (AHP) are used to construct the description framework of user demand and satisfaction. The network task allocation process is abstracted as semi Markov decision process (SMDP). According to the user demand and network states, the value iteration algorithm is used to obtain the network task allocation strategy to maximize the overall user satisfaction and the approximate optimal strategy is obtained by Q-learning algorithm. Experimental results show that compared with the traditional strategy, the overall user satisfaction of the proposed strategy is improved by more than 30%; inthe network congestion environment, it can greatly reduce the rejection rate of the users with urgent network service demand. © 2022, Editorial Office of Systems Engineering and Electronics. All right reserved.