1. Introduction

Within the framework of the information society, the level of penetration of goods and services linked to mobile communications is undoubtedly the starting point for promoting public policies that promote digital connectivity. However, there are still large gaps that exist in both extension (access) and depth (quality of access) in rural areas throughout the world. [1]

According to the report on the state of broadband in Latin America and the Caribbean 2016, released by the Economic Commission for Latin America and the Caribbean (ECLAC), the number of internet users grew from 2000 to 2015 by 10, 6%, however, the problems regarding connection speeds and service access between urban and rural areas still make a big difference. [2]

The choice of technology to provide Internet connectivity services in general is varied, which is why, of all known technologies, very few or almost none is applicable to provide Internet connectivity services in rural areas, without However, due

* Omar Freddy Chamorro Atalaya. Jr. Los Damascos 986. Los Olivos, Lima, Perú, 968053089 & omar_chamorro1@hotmail.com

to its ability to access and reach, mobile phone technology easily adapts to the needs of the rural population. [3]

In recent years, there has been a rapid and continuous evolution of technologies in the field of mobile communications. [4] Mobile devices incorporate more and better services, and in addition to improving the quality of communications, it makes possible that many services are available to us. [5]

Given this increase in the demand for telecommunications services, with an increasingly demanding user profile in terms of mobility, availability, bandwidth or autonomy, the efforts of the operators to design and implement an infrastructure, capable of Support this increase in traffic level. [6]

Mobile connectivity has become a fundamental part of our lives, since they have become a determining technology in the way the user interprets the exchange of information. [7] The optimization of mobile telephony infrastructure is a frequent and necessary practice in operational telecommunications networks, in all countries of the world, with the purpose of increasing the efficiency of its operation or performance to improve its quality of service. [8]

LTE technology is designed to work as a system with the ability to significantly improve user experiences with total mobility, since it uses the Internet Protocol (IP) to perform any type of end-to-end data traffic with good quality of service and in the same way the voice traffic, which allows a better integration with other multimedia services. [9]

The Peruvian mobile market is dynamic and growing, one could say that in general the user rate is one cell phone per inhabitant, as of March 2016, there were 30 million 98 thousand 298 active lines; The quality of service is the Achilles’ heel of the Peruvian market operators, dissatisfaction in general reaches 36% of users. [10] Therefore, the priority of being able to count on the high availability of the service has motivated to evolve technologically in physical equipment that allows to carry effective telephony with quality of service. [11]

Given the mobility of users and the number of calls made daily, maintaining the quality of mobile voice service becomes a task that requires continuous monitoring and detection of areas where the service can be degraded. For this, the ITU (International Telecommunications Union), in recommendation E.800, has defined a series of network parameters as indicators of service quality. [12]

Although the predominant technology in the world today is LTE, even 2G networks are used mostly in rural areas or with very basic user profiles. [13] In rural areas there is a problem that is the densification and optimization of the 4G LTE network, which affects the quality of service offered by the network. [14]

In Peru, the deployment of 4G LTE technology has been carried out slowly and not entirely in some cities; this due to economic, social due and even cultural factors. [15] However, despite the important deployment of communications base station implementation by operators, according to a study conducted by OSIPTEL (Supervisory Body for Private Investment in Telecommunications), it is estimated that by 2021 there would be a gap of more than 15,200 stations to be installed. [16]

In addition, in the era of globalization that we currently live, the Internet has been essential in the communication of people worldwide, up to that point that sounds crazy without having this service in homes, businesses, companies, schools and universities. Thus causing a massive dependence and magnification of the service nationwide. That is where the main problem lies, since telecommunications companies focus their resources on the large cities located on the coastal coast and neglect the rest of the country, especially in rural areas where Internet access is almost non-existent or of poor quality. And from this problem was born the idea of ​​analyzing the quality parameters of the implementation of a 4G-LTE Communications Base Station, installed in a Rural Area of ​​Peru.

In this sense, this article describes the results obtained as part of the process of evaluating the quality parameters of a communications base station, implemented in a rural area of Peru. For this analysis the KPI (Key performance Indicator) defined for 4G LTE Technology was used.

2. Methodology

2.1.  Research level

The research level is of the Descriptive-Correlational type, since it is sought to specify the characteristics of the quality parameters of a Mobile Telephony Communications Base Station such as signal level, signal SRN and signal quality and perform a comparative analysis with established by the International Telecommunications Union (ITU), in its recommendation E-800. [17]

And correlational, since, the relationship between the quality parameters (signal level, signal SRN and signal Quality) is determined, in order to verify that they comply with the ITU, thus guaranteeing optimal mobile phone coverage in the rural areas, and that these have accessibility to the entire mobile phone network nationwide. [18]

2.2.  Population and sample

The unit of analysis is each of the elements that constitute the population and therefore the sample [17]; In that sense, my only unit of analysis will be Communications Base Station with 4G-LTE technology, whose implementation characteristics are shown below. The following table details the characteristics that the 700MHz band antennas possess, as well as characteristics such as Azimuth (inclination angle), the type of technology, Cell ID and the Band or frequency.

Site: IC00243
Name:	4GIC24371	4GIC24372	4GIC24373
Azimuth:	20	150	275
Technology:	LTE	LTE	LTE
Cell ID:	4	5	6
Band or Freq.:	700	700	700

Table 1. Characteristics of the antennas in the 700 MHz band

As seen in the previous table there are three antennas, each one has three angles of inclination of 20 °, 150 ° and 275 °, the technology is LTE with 700MHz band. The following table shows the characteristics of the antennas in the 2100MHz band.

Site: IC00243
Name:	4GIC24341	4GIC24342	4GIC24343
Azimuth:	20	150	275
Technology:	LTE	LTE	LTE
Cell ID:	1	2	3
Band or Freq.:	2100	2100	2100

Table 2. Characteristics of the antennas in the 2100 MHz band

As seen in the previous table there are three antennas, each one has three angles of inclination of 20 °, 150 ° and 275 °, the technology is LTE with a band of 2100MHz.

The following figure shows the Topology of connection of communication equipment that will be considered at the time of the implementation of the transmitting base station, with 4G-LTE technology.

Figure 1: Equipment connection topology

In the previous figure, it is observed that a Baseband 6630 communication device will be used; which will support 4G technology (6630 LTE); in turn, the Baseband 6630 equipment will be connected to 3 RRU 4415 radio equipment (4G AWS: 1900MHz / 2100mHz) and 3 RRU 2217 radio equipment (4G-LTE: 700 MHz); The term RRU means “Remote Radio Unit”.

Another important point that is convenient to detail are the characteristics of the radio equipment, as well as the antennas to be used, although it is true in the previous point the equipment was listed, then they detail certain particularities of the equipment used in the implementation process, such as frequency of operation, quantity of equipment and manufacturing brand.

Equipment	Quantity	Technology to install
Radio equipment to install	3	RRU 2217
Baseband to install	1	RBS 6630
Antenna to install	1	HUAWEI  ASI4517R3v06
Rectifier and battery cabinet	1	Rectifier ZTE
Equipment cabinet	1	Equipment cabinet ZTE EX2
Others	9	Power cable 30m
	6	Fiber optic cable 50m
	5	Grounding rods
	25 meters	Cable GND

Table 3. Equipment and antennas to be used in the implementation process 4G-LTE

2.3.  Data collection instrument

The instrument used in the investigation was the technical measurement reports, which details the characteristics of the quality parameters of a Mobile Telephone Communications Base Station such as signal level, signal SRN and signal quality.

3. Results

In order to determine the optimum quality parameters of the communications base station, the signal level, signal SRN and signal quality, on each carrier of the communications base station, was analyzed using the Smart Rollout Support program; These results are compared with what is established by the International Telecommunications Union (ITU), in its recommendation E-800A.

This entity indicates that the KPIs for 4G are the following: [19]

• Signal level: It is the average power received at the terminal. It is a measure of the signal and serves as the main indicator of coverage. An acceptable value of this measure is greater than -100dBm.
• Signal SRN: It is the ratio of power between the reference signal and interference plus noise. An acceptable value is greater than or equal to 20dB.
• Signal Quality: It is the relationship between the signal and the interference. An acceptable value of this measure is greater than -15dB.

Next, the following figure shows the results obtained from the 4GIC24371 antenna operational test with azimuth 20° with 700MHz carrier.

Figure 4: Antenna operational test 4GIC24371 20°

The previous figure shows that the average signal level is -61,375; The signal SRN is 61,375 and the signal quality is -9,5625; comparing these results with those described above it can be indicated that the antenna 4GIC24371 at an angle of inclination 20 °; It meets the quality parameters.

Next, the following figure shows the results obtained from the 4GIC24372 antenna operational test with azimuth 150 ° with 700MHz carrier.

Figure 5: Antenna operational test 4GIC24372 150°

The previous figure shows that the average signal level is -61.5; The signal SRN is 61.5 and the signal quality is -9.6875; comparing these results with those described above it can be indicated that the antenna 4GIC24372 at an angle of inclination 150 °; It meets the quality parameters.

Next, the following figure shows the results obtained from the 4GIC24373 antenna operational test with azimuth 275 ° with 700MHz carrier.

Figure 6: Antenna operational test 4GIC24373 275°

The previous figure shows that the average signal level is -61.5; The signal SRN is 61.5 and the signal quality is -9.6875; comparing these results with those described above it can be indicated that the antenna 4GIC24372 at an angle of inclination 150 °; It meets the quality parameters.

Next, the following figure shows the results obtained from the 4GIC24373 antenna operational test with azimuth 275 ° with 700MHz carrier.

Figure 7: Antenna operational test 4GIC24341 20°

The previous figure shows that the average signal level is -61.4375; The signal SRN is 61,375 and the signal quality is -9,575; comparing these results with those described above it can be indicated that the antenna 4GIC24341 at an angle of inclination 20 °; It meets the quality parameters.

Next, the following figure shows the results obtained from the 4GIC24342 antenna operation test with azimuth 150 ° with 2100MHz carrier.

Figure 8: Antenna operational test 4GIC24342 150°

The previous figure shows that the average signal level is -61.4375; The signal SRN is 61.4375 and the signal quality is -9.45; comparing these results with those described above it can be indicated that the antenna 4GIC24342 at an angle of inclination 150 °; It meets the quality parameters.

Next, the following figure shows the results obtained from the 4GIC24343 antenna operational test with azimuth 275 ° with 2100MHz carrier.

Figure 9: Antenna operational test 4GIC24343 275°

The previous figure shows that the average signal level is -61,375; The signal SRN is 61.3125 and the signal quality is -9.5125; comparing these results with those described above it can be indicated that the antenna 4GIC24343 at an angle of inclination 275 °; It meets the quality parameters.

4. Statistical analysis

The following table shows the result of the Pearson correlation test for the first carrier of the Communications Base Station; which will determine if there is an association between the quality parameters in analysis, such as signal level, signal SRN and signal quality, measured in the Mobile Telephony Communication Base Station. This test was performed using the SPSS statistical program.

Table 4. Pearson’s correlation of the parameters of the first carrier

		Signal Level	Signal SRN	Signal Quality
Signal Level 4GIC24371 20°	Pearson’s correlation	1	,936**	,914**
	Sig. (bilateral)		,000	,000
Signal SRN 4GIC24371 20°	Pearson’s correlation	,936**	1	,869**
	Sig. (bilateral)	,000		,000
Signal Quality 4GIC24371 20°	Pearson’s correlation	,914**	,869**	1
	Sig. (bilateral)	,000	,000
Signal Level 4GIC24372 150°	Pearson’s correlation	1	,935**	,832**
	Sig. (bilateral)		,000	,000
Signal SRN 4GIC24372 150°	Pearson’s correlation	,935**		,846**
	Sig. (bilateral)	,000		,000
Signal Quality 4GIC24372 150°	Pearson’s correlation	,832**	,846**
	Sig. (bilateral)	,000	,000
Signal Level 4GIC24373 275°	Pearson’s correlation	1	,950**	,845**
	Sig. (bilateral)		,000	,000
Signal SRN 4GIC24373 275°	Pearson’s correlation	,950**		,854**
	Sig. (bilateral)	,000		,000
Signal Quality 4GIC24373 275°	Pearson’s correlation	,845**	,854**
	Sig. (bilateral)	,000	,000

As Pearson’s correlation coefficient is shown in the previous table, it is interpreted as follows, for each indicator. [17]

• Signal Level – Signal SRN (4GIC24371 20 °): There is a very high significant ratio of 0.936 between the Signal Level and the Signal SRN.
• Signal SRN – Signal Quality (4GIC24371 20 °): There is a significant high ratio of 0.869 between the Signal SRN and the Signal Quality.
• Signal Quality – Signal Level (4GIC24371 20 °): There is a very high significant 0.914 ratio between Signal Quality with Signal Level.
• Signal Level – Signal SRN (4GIC24372 150 °): There is a very high significant ratio of 0.935 between the Signal Level and the Signal SRN.
• Signal SRN – Signal Quality (4GIC24372 150 °): There is a significant high ratio of 0.846 between the Signal SRN and the Signal Quality.
• Signal Quality – Signal Level (4GIC24372 150 °): There is a significant high ratio of 0.832 between Signal Quality and Signal Level.
• Signal Level – Signal SRN (4GIC24373 275 °): There is a very high significant ratio of 0.950 between the Signal Level and the Signal SRN.
• Signal SRN – Signal Quality (4GIC24373 275 °): There is a significant high ratio of 0.854 between the Signal SRN and the Signal Quality.
• Signal Quality – Signal Level (4GIC24373 275 °): There is a significant high ratio of 0.845 between Signal Quality with Signal Level.

The following table shows the result of the Pearson correlation test for the second carrier of the Communications Base Station.

		Signal Level	Signal SRN	Signal Quality
Signal Level 4GIC24341 20°	Pearson’s correlation	1	,958**	,880**
	Sig. (bilateral)		,000	,000
Signal SRN 4GIC24341 20°	Pearson’s correlation	,958**	1	,890**
	Sig. (bilateral)	,000		,000
Signal Quality 4GIC24341 20°	Pearson’s correlation	,880**	,890**	1
	Sig. (bilateral)	,000	,000
Signal Level 4GIC24342 150°	Pearson’s correlation	1	,958**	,903**
	Sig. (bilateral)		,000	,000
Signal SRN 4GIC24342 150°	Pearson’s correlation	,958**		,850**
	Sig. (bilateral)	,000		,000
Signal Quality 4GIC24342 150°	Pearson’s correlation	,903**	,850**
	Sig. (bilateral)	,000	,000
Signal Level 4GIC24343 275°	Pearson’s correlation	1	,933**	,926**
	Sig. (bilateral)		,000	,000
Signal SRN 4GIC24343 275°	Pearson’s correlation	,933**		,895**
	Sig. (bilateral)	,000		,000
Signal Quality 4GIC24343 275°	Pearson’s correlation	,926**	,895**
	Sig. (bilateral)	,000	,000

Table 5. Pearson’s correlation of the parameters of the second carrier

As Pearson’s correlation coefficient is shown in the previous table, it is interpreted as follows, for each indicator. [17]

• Signal Level – Signal SRN (4GIC24341 20 °): There is a very high significant ratio of 0.958 between the Signal Level and the Signal SRN.
• Signal SRN – Signal Quality (4GIC24341 20 °): There is a significant high ratio of 0.890 between the Signal SRN and the Signal Quality.
• Signal Quality – Signal Level (4GIC24341 20 °): There is a significant high ratio of 0.880 between Signal Quality with Signal Level.
• Signal Level – Signal SRN (4GIC24342 150 °): There is a very high significant ratio of 0.958 between the Signal Level and the Signal SRN.
• Signal SRN – Signal Quality (4GIC24342 150 °): There is a significant high ratio of 0.850 between the Signal SRN and the Signal Quality.
• Signal Quality – Signal Level (4GIC24342 150 °): There is a very high significant 0.903 ratio between Signal Quality with Signal Level.
• Signal Level – Signal SRN (4GIC24343 275 °): There is a very high significant ratio of 0.933 between the Signal Level and the Signal SRN.
• Signal SRN – Signal Quality (4GIC24343 275 °): There is a significant high ratio of 0.895 between the Signal SRN and the Signal Quality.
• Signal Quality – Signal Level (4GIC24343 275 °): There is a very high significant ratio of 0.926 between Signal Quality with Signal Level.

5. Discussion

In relation to the results of this research, the following discussions are held below:

In relation to the quality parameters, which present optimal operating values, these results are similar to those carried out at the Real Plaza Santa Clara Shopping Center, where it is observed that when implementing 4G technology; 100% of the measures taken have levels greater than -95dBm. Depending on the allowed range (RSRP> – 100dBm), the values obtained are entirely within this range. This ensures optimal 4G coverage within the CC with levels that exceed those obtained in the simulations. [19]

In relation to the association of the quality parameters, it can be affirmed that the results comply with what was indicated by the investigation of the Canary Islands Government, which indicates that Signal Quality is also measured by the Signal SRN relationship, the higher the value of the Signal SRN higher quality will have the same. [20]

Optimal signal coverage is obtained with the results. This is supported by the KPI levels established by the International Telecommunications Union (ITU), in its recommendation E-800A. [19]

6. Conclusions

It is concluded that the results obtained in relation to the transmission quality parameters of the Telephone Base Station, signal level, signal SRN and signal Quality, comply with the provisions of the International Telecommunication Union (ITU), in its E-800 recommendation.

It is concluded that there is a very high significant relationship between the Signal Level and the Signal SRN; there is a significant high relationship between the Signal SRN with the Signal Quality and there is a high significant relationship between the Signal Quality with Signal Level.

Conflict of Interest

The authors declare no conflict of interest.

Acknowledgment

The authors wish to recognize and thank the National Technological University of Lima South Lima for their support of this investigation and

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