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The power consumption of microcell base stations is about 70-77% lower than for macrocell base stations but a macrocell base station is more energy-efficient than a microcell base station for the same bit rates.. The power consumption of microcell base stations is about 70-77% lower than for macrocell base stations but a macrocell base station is more energy-efficient than a microcell base station for the same bit rates.. In this paper, a power consumption model for both macrocell and microcell base stations is proposed. This model is validated by temporal power measurements on actual base stations and an excellent agreement is obtained. Furthermore, the power consumption's evolution during the day is investigated. . Energy efficiency of any deployment is impacted by the power consumption of each individual network element and the dependency of transmit power and load. In this paper we developed such power models for macro and micro base stations relying on data sheets of several GSM and UMTS base stations with. . In this paper, we proposed a microcell BS (MicBS) switch algorithm to reduce the network energy consumption. The BS energy consumption is associated with traffic load, which is denoted as the number of users a BS serves. Considering the time-varying traffic load, we proposed a metric named coverage. . In this paper, an energy efficiency model for microcell base stations is proposed. Based on this model, the energy efficiency of microcell base stations is compared for various wireless technologies, namely mobile WiMAX, HSPA and LTE. Furthermore, the power consumption's evolution during the day is investigated. . ce analysis of Macrocell and Femtocell networks in suburban environment with modern buildings., 2014,, reless access networks: Optimizing towards power consumption versus exposure of human beings., 2014, 139, 22 reen LTE downlink transmission. Transactions on Emerging Telecommunications.
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