Multi-access edge computing (MEC) has been regarded as one of the essential technologies for mobile networks, by providing resources and services close to users, thereby, avoiding extra energy consumption fitting low-latency ultra-reliable requirements emerging 5G applications. Task offloading policy plays a pivotal role in handling requests maximizing network performance. Most recently develop...

Real-time emulation of 5G networks is highly beneficial for several purposes, such as prototyping or performance evaluation distributed applications meant to run on networks, research demonstration, other technologies (e.g., Multi-access Edge Computing) interoperate with access. In this work, we describe how use Simu5G, a new end-to-end simulator based OMNeT++, real-time emulator. We in detail ...

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In existing computing systems, such as edge and cloud computing, several emerging applications practical scenarios are mostly unavailable or only partially implemented. To overcome the limitations that restrict applications, development of a comprehensive paradigm has garnered attention in both academia industry. However, gap exists literature owing to scarce research, is yet be systematically ...

In a Fog Radio Access Network (F-RAN) architecture, edge nodes (ENs), such as base stations, are equipped with limited-capacity caches, as well as with fronthaul links that can support given transmission rates from a cloud processor. Existing information-theoretic analyses of content delivery in F-RANs have focused on offline caching with separate content placement and delivery phases. In contr...

An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is proposed, where several UAVs having different trajectories fly over the target area and support user equipments (UEs) on ground. We aim to jointly optimize geographical fairness among all UEs, of each UAV' UE-load overall energy consumption UEs. The above optimization problem includes both integer continues variable...

With the emergence of various new Internet Things (IoT) devices and rapid increase in number users, enormous services complex applications are growing rapidly. However, these resource-intensive data-hungry, requiring satisfactory quality-of-service (QoS) network coverage density guarantees sparsely populated areas, whereas limited battery life computing resources IoT will inevitably become insu...

With the increasing stringent QoS constraints (e.g., latency, bandwidth, jitter) imposed by novel applications e-Health, autonomous vehicles, smart cities, etc.), as well rapidly number of connected IoT (Internet Things) devices, core network is becoming increasingly congested. To cope with those constraints, Edge Computing (EC) emerging an innovative computing paradigm that leverages Cloud and...