Edge Computing in IoT: A 6G Perspective

Abstract

Edge computing is one of the key driving forces to enable Beyond 5G (B5G) and 6G networks. Due to the unprecedented increase in traffic volumes and computation demands of future networks, Multi-access Edge Computing (MEC) is considered as a promising solution to provide cloud-computing capabilities within the radio access network (RAN) closer to the end users. There has been a huge amount of research on MEC and its potential applications; however, very little has been said about the key factors of MEC deployment to meet the diverse demands of future applications. In this article, we present key considerations for edge deployments in B5G/6G networks including edge architecture, server location and capacity, user density, security etc. We further provide state-of-the-art edge-centric services in future B5G/6G networks. Lastly, we present some interesting insights and open research problems in edge computing for 6G networks.

Real-Time Object Detection Based on UAV Remote Sensing: A Systematic Literature Review

“…A possible reason for this is that the capacity of the network is measured by the bandwidth per cubic meter, and for UAV remote sensing applications, the number of 5G base stations and the number of connected devices in a large space may limit the performance of 5G [124]. Thus, despite some success with 5G in object detection that is not in the UAV remote sensing scenario, this problem still exists to some extent [125]. The odds of edge computing is that it allows for more functions to be deployed to end devices at the edge to enable them to process the generated data, thus solving computationally intensive offloading and latency problems [126].…”

“…Computation offloading can significantly reduce energy consumption and computing resource requirements by a large margin, and this is a current area of research on mobile edge computing [130]. Some studies indicated that offloading processing is a feasible solution for real-time tasks, which takes into account energy consumption and processing speed [125,127,129]. There are four types of offloading types: binary offloading, partial offloading, hierarchical architectures, and distributed computing [126].…”

“…The limitation of 5G basically arises from the need to reach data rates of up to 100 Mbps and 50 Mbps for downlink and uplink, respectively [125]. Compared to 5G, 6G needs more significant improvements in performance, such as bandwidth, delay, and coverage, which expands 5G's requirements for scenarios such as ultra-low latency, massive connections, and ultra-large bandwidth to achieve higher peak transmission rates [148].…”