An Energy-Aware Approach for Industrial Internet of Things in 5G Pervasive Edge Computing Environment

Delay Minimization for NOMA-mmW Scheme-Based MEC Offloading

“…Seen from the objective function in (18), all the terms except the term of − log 2 (α 1 i ) are now convex. In this case, let us apply the first order Taylor expansion to the term, thereby giving the following proposition.…”

“…Proof: This can be found in [34]. By substituting (19) into (18), the objective function becomes a convex one. Let us now consider how to deal with the constraints.…”

“…Some researches on mmW based MEC technology have been carried out, where the pioneer works [14,15] showed its feasibility, and proved that the combination of the two can effectively reduce the task offloading delay. Furthermore, the current studies [16][17][18] have investigated how to apply the mmW MEC technique to different wireless systems with diverse applications. Specifically, in [16], they developed the joint proactive computing and mmW communication scheme for the wireless virtual reality (VR) system with ultra-reliable and low latency demands.…”

“…By contrast, the authors of [17] proposed the unmanned aerial vehicle (UAV)-aided wireless edging service system with mmW communication capability. Further, Q. Chen et al proposed a new architecture of mmW MEC technology for the Industrial Internet of Things (IoT), and effectively reduced the system energy consumption by jointly optimizing communication and computing resources [18].…”

Data Sharing and Online Political Education Based on Edge Computing Network Optimization

“…Mobile edge computing has two working modes, namely partial computing loading mode and binary computing loading mode [12]. In part of the computing loading mode, computing tasks can be split, some are performed locally, and the other part is loaded to the mobile edge computing server to perform calculations; in the binary computing loading mode, computing tasks cannot be split, and mobile devices can only choose to execute local calculations or all load to the mobile edge computing server to perform calculations [13]. e literature shows that a multi-user MEC system considering wireless charging is proposed, and a wireless energy transmission MEC design is proposed, in which a multi-antenna access point (integrated with the MEC server) broadcasts wireless power to charge multiple users, and each user node depends on the collection energy to perform computational tasks [14].…”