Reliable Task Offloading in MEC through Transmission Diversity and Jamming-Aware Scheduling
Ghazal Asemian, Mohammadreza Amini, Burak Kantarci

TL;DR
This paper presents a transmission diversity and jamming-aware scheduling framework for Mobile Edge Computing that improves task offloading reliability and resource utilization under jamming threats.
Contribution
It introduces a novel MEC framework that jointly optimizes task scheduling and resource allocation considering transmission diversity and jamming effects.
Findings
Significantly reduces task drop rate under jamming conditions
Enhances resource utilization compared to baseline strategies
Outperforms traditional scheduling methods in reliability metrics
Abstract
Mobile Edge Computing (MEC) enables low-latency applications by bringing computation closer to the user, but dynamic task arrivals and communication threats like jamming complicate reliable task offloading and resource allocation. In this paper, we formulate a dynamic MEC framework considering the transmission diversity that jointly addresses task scheduling and resource block (RB) assignment in the presence of jamming. First, we define and evaluate key network metrics-including dropped task ratio and bandwidth utilization-while maintaining service continuity by accounting for the existing commitments of the edge server to previously offloaded tasks. Then, we propose a jamming-aware offloading and RB allocation framework that leverages transmission diversity and optimal scheduling across distributed gNBs. The proposed solution is compared to a similar scenario without transmission…
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Taxonomy
TopicsIoT and Edge/Fog Computing
