ub.com/RangeNetworks/dev(accessed June 17, 2020). Range Networks (n.d.). Homepage. Available at: https://rangenetworks.com (accessed June 17, 2020). GNU Radio (n.d.). Homepage. Available at: https://www.gnuradio.org (accessed June 17, 2020). Linux Foundation (n.d.). Homepage. Available at: https://www.linuxfoundation.org (accessed June 17, 2020). 6.4 Multi-Access Edge Computing 6.4 Multi-Access Edge Computing Miltiadis Filippou¹ and Dario Sabella2 1 Intel Germany GmbH, Germany 2Intel Corporation, Germany As mentioned above, 5G communication systems need to satisfy an increasing demand for data traffic communication, by connecting a vastly growing number of devices and hetero- geneous traffic flows, with more stringent Quality of Service (QoS) requirements (Cisco17, NGMN15, ITU-R15). These challenges are in turn translated into a multitude of require- ments on the capabilities of new communication and data processing systems, starting from early 5G deployments and expanding beyond current systems, since the trend is not going to stop over the years. To overcome these issues, not only wireless network performance improvements are needed, but also enhancements of processing systems. Edge computing is commonly recognized as a key ingredient of future 5G systems (HPS+15) (TSM+17) that will provide operators and infrastructure owners the flexibility and reconfigurability required to satisfy the ever-increasing traffic demand and the related tight QoS requirements. More concretely the main advantages of edge computing are: Low latency communication due to the data proximity to end users; The availability of real-time network information, such as radio conditions and network statistics. This technology is known as multi-access edge computing (MEC), which is standardized by the European Telecommunications Standards Institute (ETSI). As of now, ETSI MEC is a leading international standard available for edge comput- ing. MEC covers many 5G vertical market segments, such as the automotive, industrial automation, multimedia a