Feasibility study of energy management system for communication base stations

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6 Frequently Asked Questions about “Feasibility study of energy management system for communication base stations”

How to make base station (BS) green and energy efficient?

This paper aims to consolidate the work carried out in making base station (BS) green and energy efficient by integrating renewable energy sources (RES). Clean and green technologies are mandatory for reduction of carbon footprint in future cellular networks.

What are the uncertainties associated with Res enabled BS?

The uncertainties associated with an RES enabled BS relate to the energy harvested from nature, the fluctuating traffic load, utility energy pricing, and power outages in case of unreliable grid environment. These variations are often modeled as stochastic optimization problem and solved through different stochastic programming algorithms.

How can radio resources be manipulated to conserve energy?

The radio resources can be manipulated to conserve energy by adapting the capacity and/or converge of the green BS. This is demonstrated in ( Valerdi et al., 2010 ), where both aspects are optimized according to the available renewable energy and battery back-up available.

What is a multi-stage energy balancing problem?

The second sub-problem is called the multi-stage energy balancing (MEB) problem, which accommodates the spatial dynamics of the mobile traffic and seeks to maximize the utilization of green energy by balancing the green energy consumption among BSs.

How can multi-cell cooperation optimize BS' energy consumption?

Scheduling of cell sizes, like dividing a macro cell into micro cells, or shutting down micro cells by extending coverage (cell zooming) with macro cell when traffic is low, is another way of multi-cell cooperation to optimize BS' energy usage ( Le et al., 2011 ).

What is energy balancing problem?

The second sub-problem is nominated as the 'energy balancing problem' that further reduces the total energy cost of the network operators by balancing the benefits given through energy sharing among deployed BSs and their RESs, and the incurred cost on BSs connection.

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