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Ubiquity in network coverage is one of the main features of 5G and isexpected to be extended to the computing domain in 6G. In order to provide thisholistic approach of ubiquity in communication and computation, an integrationof satellite, aerial and terrestrial networks is foreseen. In particular, therising amount of applications such as In-Flight Entertainment and ConnectivityServices (IFECS) and SDN-enabled satellites renders network management morechallenging. Moreover, due to the stringent Quality of Service (QoS)requirements edge computing gains in importance for these applications. Here,network performance can be boosted by considering components of the aerialnetwork, like aircrafts, as potential Multi-Access Edge Computing (MEC) nodes.Thus, we propose an Aerial-Aided Multi-Access Edge Computing (AA-MEC)architecture that provides a framework for optimal management of computingresources and internet-based services in the sky. Furthermore, we formulateoptimization problems to minimize the network latency for the two use cases ofproviding IFECS to other aircrafts in the sky and providing services foroffloading AI/ML-tasks from satellites. Due to the dynamic nature of thesatellite and aerial networks, we propose a re-configurable optimization. Forthe transforming network we continuously identify the optimal MEC node for eachapplication and the optimal path to the destination MEC node. In summary, ourresults demonstrate that using AA-MEC improves network latency performance by10.43% compared to the traditional approach of using only terrestrial MEC nodesfor latency-critical applications such as online gaming. Furthermore, whilecomparing our proposed dynamic approach with a static one, we record a benefitof at least 6.7% decrease in flow latency for IFECS and 56.03% decrease forcomputation offloading.

Design and Optimization of Aerial-Aided Multi-Access Edge Computing towards 6G