et al. and [PERSON] et al. (2016); [PERSON] et al. (2017); [PERSON] et al. (2018); [PERSON] et al. (2018), while details related to the problems encountered during this phase can be found in [PERSON] et al. (2018); [PERSON] et al. (2018). The first step toward the FOC phase was the European Commission's formal announcement of the Galileo Initial Services (December 15, 2016). Once the FOC phase is concluded, the constellation will rely on 24 satellites (and two backup satellites for each orbital plane). In this phase, each satellite will take 14 h to complete its orbit at the altitude of 23,222 km ([PERSON] et al., 2018). The whole system is designed to guarantee that at least four satellites are visible from each point on Earth. Indeed, 24 satellites will be equally distributed on three different orbital planes at 56\({}^{\circ}\) with respect to the equatorial plane ([PERSON] et al., 2018). Further details related to the preliminary analysis of the FOC phase can be found in the novel work of [PERSON] and [PERSON]. (2018), while a detailed review of the project status (up to 5 July 2016) can be found in ([PERSON] et al., 2018). The Galileo system is designed to provide different services. In this paper, the Galileo Open Service (OS) ([PERSON] et al., 2018) was considered. The Galileo OS is freely available for mass applications of synchronization and positioning. This service does not require any authorization and can be used by anyone equipped with an adequate receiver. The OS provides up to four carrier frequencies: E1 (1575.42 MHz), E5a (1176.45 MHz), E5b (1207.14 MHz), and E6 (1278.75 MHz). Over the past years, many authors have analyzed the outcomes of the Galileo mission in order to produce communications and scientific works. In particular, tests were produced before the IOV phase by using a simulated Galileo signal (e.g., (12; 13; 14)). During the IOV phase, [PERSON] et al. (2018) proposed a paper describing the results of mixed GPS and GIOVE (Galileo In-Orbit Validation Element) A/B data. They placed emphasis on the equations related to the intersystem solution and found that the GPS and GIOVE data combinations were able to improve the instantaneous ambiguity resolution with regards to the single GPS data. [PERSON] et al. (2018) analyzed the Galileo IOV positioning and signal performance by using the four IOV satellites. In their work, they considered the carrier-to-noise density ratio and multipath, and also analyzed the accuracy of the broadcasted ephemeris and IOV Galileo positioning performance. They concluded that the Galileo signal-to-noise ratio density was bigger than that of the GPS and that Galileo signals are characterized by smaller multipath and noise compared to GPS signals. [PERSON] et al. (2018) proposed a study to demonstrate the improvement, of the Galileo constellation geometry, associated with the addition of two FOC satellites (FOC-FM1 and FOC-FM2). They also considered the pre- and post-orbital shifts of the FOC-FM1 satellite. [PERSON] et al. (2018) focused their work on the accuracy of the IOV measurements. One week of IOV acquisitions were processed to assess the results. Studies characterized by GPS, GLONASS, BeiDou, Galileo, and QZSS comparisons are also reported in the literature. In particular, [PERSON] et al. (2018) worked on precise orbit determination and precise point positioning (PPP) with GPS, GLONASS, Galileo, and BeiDou data. In their work, Galileo (IOV) and Beidu PPP were achieved after precise estimation of their orbit and clocks. This was possible thanks to the MGEX (IGS Multi-GNSS Experiment) data and to the data provided by a proprietary network (Fugro). [PERSON] et al. (2018) used a multi-GNSS PPP model to evaluate the performance of the proposed model by using the MGEX data. Their analysis was validated with one month of acquisitions from the MGEX network. Multi-GNSS PPP was also the topic of the works proposed by [PERSON] et al. (2018); [PERSON] et al. (2018), and [PERSON] et al. (2018). The work of [PERSON] et al.