MEC-enabled Energy Cooperation for Sustainable 5G Networks Exploiting the Location Service API
Thembelihle Dlamini

TL;DR
This paper proposes an energy cooperation framework for sustainable 5G networks using MEC and energy harvesting, employing an online Lyapunov optimization algorithm to efficiently manage energy transfer based on location services.
Contribution
It introduces a novel joint energy allocation and routing algorithm leveraging MEC's Location Service API for green energy cooperation in 5G networks.
Findings
Lyapunov algorithm effectively manages energy transfer under normal solar conditions.
Energy cooperation reduces reliance on the power grid and enhances sustainability.
The approach adapts to energy variations within the network.
Abstract
The substantial growth in wireless data traffic, and the emergence of delay-sensitive application/services requiring ultra-low latency, has resulted into a new Mobile Network (MN) design paradigm called Multi-access Edge Computing (MEC). In this, the Base Stations (BSs) are empowered with computing capabilities, and they are densely deployed in order to increase network coverage and provide high throughput to mobile users. These developments require energy self-sustainability in order to minimize the carbon emission into the atmosphere and the dependence on the power grid. As a solution to this, we advocate for the integration of Energy Harvesting (EH) systems, e.g., solar panels or wind turbines (together with energy storage devices), into future BSs and edge computing systems (i.e., MEC servers). However, due to traffic load and harvested energy variations within a coverage area, the…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Advanced MIMO Systems Optimization · IoT and Edge/Fog Computing
