Network Resource Allocation Strategy Based on UAV Cooperative Edge Computing

Aiming at the problem that fixed mobile edge computing (MEC) server is difficult to meet needs of users and temporary services, this study proposes a network resource allocation strategy based on unmanned aerial vehicle (UAV) cooperative computing. First, UAV-aided MEC scene designed, single UAV with an used provide auxiliary services for ground multiusers. Then, optimization model aiming total system delay constructed by considering communication calculation model. Finally, Deep Q-Network solve obtain best scheme. Based experimental platform, proposed demonstrated analyzed. The results show when number user equipment 40, about 33s, which 35.29%, 31.25%, 15.38% lower than other comparison strategies effectively reduces users.