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GA-Based Green SFN Planning for DTMB

Authors: Caiwei Li; Xiaolin Zhang;

GA-Based Green SFN Planning for DTMB

Abstract

This paper proposed an approach based on genetic algorithm (GA) to deploy green single frequency network (SFN) for digital terrestrial television multimedia broadcasting (DTMB). The network optimization goal is to achieve energy efficiency, low cost, low carbon and low exposure to radiation, which caters to the sustainable development strategy. The method is applied over a real area of China, which is described by a digital terrain model (DTM) with the resolution of 20m. In order to show the validity of green deployment, optimization results of three other planning strategies are also presented. Comparisons between optimization results of the four planning strategies show that green deployment strategy can achieve energy consumption savings and low exposure to radiation. Energy consumption savings lead to CO2 reductions and cost savings.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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