Edge intelligence for mission-critical 6G services in space-air-ground integrated networks

Abstract

Next-generation wireless services will change our daily lives by supporting smart factories, intelligent transportation, augmented/virtual reality (AR/VR), etc. These sophisticated services are usually both data- and computation-intensive and must meet stringent latency and reliability requirements, which cannot be readily satisfied by cloud-based service processing. Therefore, the 6G cellular network is expected to jointly optimize communication, computing, caching and control. A further aspiration of 6G is to conceive a seamless space-air-ground integrated network (SAGIN) for filling the vast coverage holes across the globe, which brings about new opportunities for mission critical services. Therefore, in this article, we aim for conceiving ultra-reliable and low-latency edge intelligence (URLLEI) for supporting mission-critical services by harnessing the diversified communication, computing, and caching resources at the network edge of SAGIN. We critically appraise a number of key enabling techniques, including a number of new service-centric resource allocation techniques. Finally, a range of open challenges is discussed.

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Identifiers

ORCID for Lajos Hanzo: orcid.org/0000-0002-2636-5214

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