The growing demand for higher data rates and better quality of Internet services has resulted in high investments in mobile network infrastructure by operators. In this context, Centralized Radio Architecture (CRA) is a promising solution that relies on centralizing, sharing, and better allocating network resources, resulting in reduced deployment and operation costs when adequately planned. While the benefits of CRA are numerous, this cost reduction can also be enhanced through the adoption of alternative energy sources. One of the options for this, it is Growing demand for higher data rates and better quality of Internet services has resulted in high investments in mobile network infrastructure by operators. In this context, Centralized Radio Architecture (CRA) is a promising solution that relies on centralizing, sharing, and better allocating network resources, resulting in reduced deployment and operation costs when adequately planned. While the benefits of CRA are numerous, this cost reduction can also be enhanced through the adoption of alternative energy sources. One of the options for this equipment through optimization approaches, considering the energy demand of CRA, represents a challenge to be overcome. To this end, this work proposes a strategy to minimize the cost of imple- menting a photovoltaic system by reducing the number of inverters, formulated as an Integer Linear Programming (ILP) problem, to further reduce costs related to CRA. From the results, it is evident that the proposed optimization technique, implied in the average reduction of the Total Cost of Ownership (TCO) of the photovoltaic system in about 0.02 million reais, as well as in the environmental sustainability through the reduction of carbon dioxide emissions (CO2) in the atmosphere.
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