Cellular Towers Research Articles

Mathematical Model for Optimal Location of Cellular Transmission Towers

This paper applies a mathematical model for the optimal location of cellular signal transmission towers in a scenario different from the original scenario for which the model was developed. The proposed optimization aims to maximize the number of users served while maintaining a minimum signal quality standard. To validate the model, measurement campaigns were carried out at 44 points in a residential setting in the municipality of Castanhal-PA, at frequencies of 1800 MHz and 2600 MHz. The model outputs provide the received power, the average loss and the optimal location of the new tower to be installed.

Incorporating Technology in the Wilderness

This case examines a challenge faced by outdoor-based accommodations and attractions regarding guest service technological expectations through the lens of copresence and technology dependence. Given the remote nature of these types of locations and lack of viable infrastructure, it can be difficult for guests and employees alike to work and play without technology such as Wi-Fi or cellular access. Additionally, the case shows how upper management and governmental entities in charge of national park tourism attempt to address the inclusion of technology access within a natural setting. The case discusses various solutions—such as utilizing a paid internet service at multiple lodges within the park or “disguised” cellular towers. However, determining the appropriate solution can be difficult, as management and other stakeholders need to balance technological guest satisfaction with preserving the natural space of the park and the wilderness that attract guests to the destination. As seen within the case, guests respond both positively and negatively to the lack of technological access within the park, which results in a challenging situation for park management to resolve.

Implementation on Large-Scale Mobile Fitness App Usage Analysis for Smart Health

Understanding the determinants behind the exercise habits of urban residents, encompassing aerobic activities and training regimens, is of paramount importance for informed public policy formulation and urban planning. The utilization of mobile fitness app data, which characterizes exercise behaviors concerning time and location, offers a unique avenue for unveiling the key factors influencing physical activity. In this study, we conducted a comprehensive analysis of mobile fitness app data, collecting information from over 14,000 cellular towers and studying the exercise patterns of 4,000 users. Our rigorous investigation reveals that temporal elements, such as the day of the week and the time of day, wield significant influence over human exercise preferences. For instance, data shows that on weekdays, there's a 20% increase in exercise app usage during the evening hours (6 PM - 9 PM), while weekends see a 15% spike in early morning activities (6 AM - 8 AM). Geographical location also emerges as a prominent influencer. Our analysis indicates that individuals residing closer to parks or fitness centers exhibit a 25% higher likelihood of engaging in outdoor workouts. Importantly, personal income levels have surfaced as a fundamental factor significantly shaping exercise habits. Data suggests that individuals with higher incomes allocate, on average, 10% more of their time to structured training regimens. This research contributes essential insights for urban policy development and city planning, aimed at fostering a healthier and more physically active urban populace. Key Words: Tracking nutritional intake, Analyzing meals, Visualizing nutrition data, Daily nutrition overview, Calculating BMI, Image recognition for nutrition, Menu nutritional analysis, Tracking steps, Monitoring physical activity, Providing workout plans, Home workout routines, Gym workout routines, Planning a balanced diet, Diet plans based on BMI, Fitness and wellness application.

Building Tana Toraja Towards a Smart City

Tana Toraja is one of the districts located in the northern part of South Sulawesi. Currently, the Tana Toraja District plans to build at least 31 4G cellular network towers in 10 sub-districts to equalize the development of telecommunication infrastructure in the area. Therefore, this research is conducted to provide recommendations to the Tana Toraja District Government regarding the optimization of village development policies using information and communication technology approaches and to encourage the implementation of digital empowerment in public services. The results of this study indicate that the approach that can be used by the Tana Toraja District Government in building towards a smart city includes: developing infrastructure that can support smooth internet connectivity throughout the area and developing public services towards digitalization, such as e-Administration, e-Transportation, e-Health, e-Money, and e-Report. However, the increasing offering of technology-based public services to be developed in the Tana Toraja District will pose significant challenges, particularly in terms of human resources, financing, and data security.

Throughput and Coverage Evaluation on The Use of Existing Cellular Towers for 5G Network in Surakarta City

Throughput and Coverage Evaluation on The Use of Existing Cellular Towers for 5G Network in Surakarta City

Geospatial Agricultural Incident Analysis for the State of Indiana

Highlights 29 recent agricultural-related fatalities or injuries occurring throughout the state of Indiana were analyzed using geospatial incident analysis. Proximity of each incident to nearby cellular towers was found through 5 and 10-mile spatial joins by their relationship with cellular towers, with no towers most likely to be found within 5 miles of a given incident and only one tower to be found within 10 miles of a given incident. Proximity of each incident to emergency services and the nearest hospital was performed through 5 and 10-mile spatial joins, with only one service provider most likely to be within the five-mile range of a given incident. Abstract. A total of 29 recent agricultural-related injuries and fatalities throughout the state of Indiana were identified and analyzed for their proximity to cellular towers and emergency medical services (EMS). The objective of this research was to identify relationships between selected agricultural incidents and the ability of the victim to successfully contact emergency services. The geographic information system (GIS) software ArcGIS Pro and ArcGIS Online were utilized for trend identification and analysis. Findings from this analysis showed that only one EMS provider was most likely to be found within five miles of a given incident location. This frequency increased to seven EMS providers when the proximity range was increased to ten miles of a given incident location. The analysis also showed that only one cellular tower was most likely to be within a 10-mile radius of a given incident. There were frequently no accessible towers within five miles of a given incident. In addition, identified incidents were overlaid on a digital elevation map (DEM) of Indiana for analysis on the relationship between elevation and the number of accessible cell towers in the area. Studies have confirmed that victims of serious agricultural-related injuries, especially while working alone, face significant barriers in alerting EMS of their need for assistance. Geospatial analysis techniques performed in this study can be utilized by other states to assess access to EMS and for larger-scale, agricultural incident analysis. These tools have the potential to improve detail in agricultural incident reporting. Keywords: Emergency, Emergency communication, Emergency response, Farm injury, Incident response GIS, Working alone.

A NOVEL MULTIFREQUENCY GPS APP FOR STUDYING OLDER ADULTS: IMPROVING ACCURACY AND RELIABILITY OF DATA

Abstract Acquiring global positioning system (GPS) data can help researchers understand the relationship between older adult’s location/activity and their health, but existing GPS data collection modes suffer from issues with precision, consistency, and acceptability. Some limitations of current GPS mobile apps are satellite service disruption, power saving mode interference, miscalibration of device’s compass, and user-error during data collection which result in missing or inaccurate data. We present a novel multilingual GPS mobile app and live administrative dashboard to address these limitations. The app performs triangulation between GPS satellite data, nearest cellular tower, and WiFi router location data which are processed through a unique GPS algorithm with a mean error of only 1.5 meters. Since GPS data results in coordinates commonly reverse geo-coded to place-based datasets, the accuracy is critical in determining place type or other characteristics. The app is additionally designed with redundancy and fault tolerance in mind to run continuously in the background of a user’s smartphone, so there is no data loss from accidentally closing the application or restarting the phone. Moreover, this new application has a flexible sampling rate ranging from 1 second to 20 minutes. Sampling frequency flexibility can adjust the battery life and reduce the need to charge as frequently. Last, application programming interface (API) integrations allow for live data stream, which can improve monitoring and troubleshooting in the field. For research with older adult populations, these features can not only improve the accuracy of collected data but also increase the acceptability of collecting GPS data.

Development of seismic fragilities for a base station steel lattice cellular tower

A large portion of the country of Turkey is located in a very high seismic region known as a first-degree earthquake zone where earthquakes occur frequently. Earthquakes result in damage to infrastructure including base station towers and subsequently failure of mobile communication networks. The loss of functionality of mobile communication networks following an earthquake has a direct impact on emergency response and both short and long-term recovery phases. Understanding both these phases requires systematic modeling of infrastructure components, which rely on fragility curves representing the probabilistic relationship between seismic intensity and damage. This study focuses on the development of damage fragility curves (fragilities) for an archetypical mobile cellular tower, namely a 55 m tall steel lattice tower (SLT) used in base station towers in Turkey. Nonlinear time history analysis was performed using a robust suite of far field ground motion records to model the performance of the archetype tower and develop damage fragilities for five specific damage states which were defined in terms of likely performance: damage state 0 (no damage), damage state 1 (uninterrupted communication), damage state 2 (communication interruption), damage state 3 (communication failure), damage state 4 (structural failure). While fragility curve has been developed for lattice towers of different types and sizes in the literature, there is no specific study for 55 m SLT and the novelty of this study is that the resulting SLT archetype fragilities can serve as a benchmark dataset for use in community-level risk and resilience analyses to improve response and recovery planning following earthquakes.

Information Bypass: Using Low-cost technological innovations to curb leakages in welfare programs

Distribution networks entrusted to run welfare programs can have enduring leakages due to the expensive monitoring of agents at several echelons. This paper features a technological innovation harnessing low-cost computing that can help to curb leakages and reduce inefficiencies in such complex welfare distribution networks. A phone-based ‘Interactive Voice Response System’ that requires the last-mile distribution agents to report the number of beneficiaries at a very high frequency concurrently with business-as-usual beneficiary information reporting by the middle-tier delivery agents serves as a mechanism for increasing accountability. Using the roll-out of this system, we demonstrate that this innovation reduced leakage in school lunch provision in Bihar, India. While independently collected data highlights improvements in delivery, official statistics indicate a decline in the school lunches provision. We use within Bihar cellular towers location to bolster our identification in an instrumental variable framework.

Residential exposure to non-ionizing electromagnetic radiation from mobile base stations: a systematic review on biological effects assessment

The effects of non-ionizing electromagnetic radiation from cellular base station exposure on human health are discussed in this review. Because of technological development, electromagnetic emissions are present at high levels in human existence. Due to the health risks linked with exposure to electromagnetic radiation (EMR), its effects are known. The systematic review work was done to identify measured values of non-ionizing radiation (such as power density and electric and magnetic fields) emitted by phones and GSM base stations, along with any potential biological consequences connected with the measured values. In the literature, all measurements of power density, electric fields, and magnetic fields were made using various instruments over a variety of base station distances and times. The findings from the literature showed that the non-ionizing electromagnetic radiation's power density, electric field, and magnetic field varied with distance from the tower and were highest at the closest distances. The findings also demonstrate that, in some situations, home exposure levels to base station-emitted non-ionizing electromagnetic radiation are within the limit. In some instances, however, the situation varies, and persons living close to base stations experience health effects from high levels of non-ionizing electromagnetic field exposure. The biological effects of non-ionizing electromagnetic radiation exposure in homes are summarized in this article. Numerous studies to date have established the dangers of mobile phone base station radiation to people and wildlife. The negative biological effects of exposure to non-ionizing electromagnetic radiation were compiled from numerous articles. Residents who are exposed to higher levels of non-ionizing electromagnetic radiation at home are more likely to experience symptoms like fatigue, nausea, disturbed sleep, discomfort, headache, memory loss, skin problems, visual disturbances, hearing problems, dizziness, muscle pain, DNA damage, and infertility. Some mobile base stations are situated quite close to homes and commercial buildings, putting individuals at risk from the base stations' electromagnetic radiation. Depending on the infrastructure impediment, such as interior obstructions or buildings, the emf changed from location to location. As a result, cellular mobile towers shouldn't be placed closer than 200 meters from residential structures.

The use of cellular telecommunication towers as nesting sites by pied crows (Corvus albus) in an urban mosaic landscape

Corvids are known for their urban exploitation, often using artificial infrastructure to roost and nest. In many areas of its distribution range, the pied crow (Corvus albus) is often common in areas of anthropogenic land use, often breeding and foraging near human settlements. In this study, we monitored pied crow use of cellular telecommunication towers as nesting sites in Pietermaritzburg, South Africa, during three breeding seasons. We found that of the 36 towers situated across the urban mosaic landscape, pied crows used 17 (47.2%) as nesting sites while 19 were not used. Many towers were used in subsequent years as nesting sites. Overall, 41 pied crow nests on towers in urban mosaic landscapes were counted by the end of the study. Towers had a mean (± SE) distance of 1595.2 ± 151.0 m between them and were located mainly in the suburbs of Edendale and Northdale. As shown by the hotspot analysis and spatial distribution of used and unused towers, it was unclear why some towers were not being used as nesting sites. We assessed the relationship between pied crow nesting sites and land cover features. We found that tower nesting was best explained by cropland (wi = 0.58), forest (wi = 0.94), grassland (wi = 0.66), schools (wi = 0.56) and relief (wi = 0.56). The continued persistence of pied crows in urban mosaic landscapes with natural and /or managed green spaces, the availability of anthropogenic infrastructure and food in these, and their behavioural plasticity will likely increase their numbers in such landscapes.

Using passive Wi-Fi for community crowd sensing during the COVID-19 pandemic

Sensing passersby and detecting crowded locations is a growing area of research and development in the last decades. The COVID-19 pandemic compelled authorities and public and private institutions to monitor access and occupancy of crowded spaces. This work addresses the detection of crowds in points of interest (POI) by using a territory grid analysis categorizing POIs by the services available in each location and comparing data gathered from a community passive Wi-Fi infrastructure against mobile cellular tower association data from telecom companies. In Madeira islands (Portugal), we used data from the telecom provider NOS for the timespan of 4 months as ground truth and found a strong correlation with sparse passive Wi-Fi. An official regional mobile application shows the occupancy data to end-users based on the territory categorization and the passive Wi-Fi infrastructure in POIs. Occupancy data shows historical hourly trends of each location, and the real-time occupation, helping visitors and locals plan their commutes better to avoid crowded spaces.

Connecting the Unconnected: Bridging the Digital Divide with Affordable Satellite Through Enabled Smartphones

In the current digital era, having connection to the internet is essential for economic opportunities, education, and communication. However, there is unequal access to these digital resources due to the ongoing global problem of the “digital divide”. In order to close this gap, this project investigates the creation of a satellite-connected, reasonably priced smartphone. Traditional terrestrial networks have their limitations, especially in isolated and rural locations where it can be difficult to access the internet. Furthermore, communication in metropolitan areas is hampered by worries about radiation from cellular towers. This method overcomes the constraints of conventional terrestrial networks to provide internet access to even the most remote locations by outfitting smartphones with satellite communication capabilities. This technology not only offers economic opportunities, education, and basic services, but it also lessens the need for traditional cellular towers in crowded places, which may allay worries about radiation exposure from towers. The study highlights how crucial it is to overcome technological obstacles, work with manufacturers, develop encouraging regulations, and run awareness efforts in order to promote the adoption of this ground-breaking strategy. The main conclusions indicate that, in addition to addressing connection and health issues, reasonably priced smartphones with satellite connectivity can make a substantial contribution toward bridging the digital divide and helping urban and impoverished communities. This study makes a very clear point: adopting smartphones with satellite capabilities can open the door to a more connected and just digital society.

Rectifier Circuits for RF Energy Harvesting and Wireless Power Transfer Applications: A Comprehensive Review Based on Operating Conditions

Low-power wireless sensors will play a big role in smart city applications. These sensors require a power supply to function. Batteries are not optimal for such numerous sensor networks because of their limited life and need for regular maintenance; hence, they are not a universal solution. RF energy harvesting (RFEH) and wireless power transfer (WPT) techniques have the potential to be a green and sustainable solution for supplying power to various low-power devices by capturing ambient RF energy. The ubiquitous nature of RF energy makes it available to exploit and reutilize in power wireless sensor nodes, wireless body area networks, wireless charging systems, RFID tags, and the Internet of Things <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> , <xref ref-type="bibr" rid="ref2" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[2]</xref> . <xref ref-type="fig" rid="fig1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Figure 1(a)</xref> displays a conceptual diagram of an RFEH/WPT system. To capture power from free space that is transmitted by the base station, the harvesting node needs a receiving antenna and rectifier to convert the power into dc signals. This dc output is then further utilized to feed a low-power device. <xref ref-type="fig" rid="fig1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Figure 1(b)</xref> shows that at 10-m distance from the cellular tower, a digital batteryless watch was powered by a rectenna operating at 1.8 GHz. This LCD watch (low-power device) required 1.5 V to function and was successfully powered up using the RFEH system <xref ref-type="bibr" rid="ref3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[3]</xref> .

Crowdsourced Reconstruction of Cellular Networks to Serve Outdoor Positioning: Modeling, Validation and Analysis

Positioning via outdoor fingerprinting, which exploits the radio signals emitted by cellular towers, is fundamental in many applications. In most cases, the localization performance is affected by the availability of information about the emitters, such as their coverage. While several projects aim at collecting cellular network data via crowdsourcing observations, none focuses on information about the structure of the networks, which is paramount to correctly model their topology. The difficulty of such a modeling is exacerbated by the inherent differences among cellular technologies, the strong spatio-temporal nature of positioning, and the continuously evolving configuration of the networks. In this paper, we first show how to synthesize a detailed conceptual schema of cellular networks on the basis of the signal fingerprints collected by devices. We turned it into a logical one, and we exploited that to build a relational spatio-temporal database capable of supporting a crowdsourced collection of data. Next, we populated the database with heterogeneous cellular observations originating from multiple sources. In addition, we illustrate how the developed system allows us to properly deal with the evolution of the network configuration, e.g., by detecting cell renaming phenomena and by making it possible to correct inconsistent measurements coming from mobile devices, fostering positioning tasks. Finally, we provide a wide range of basic, spatial, and temporal analyses about the arrangement of the cellular network and its evolution over time, demonstrating how the developed system can be used to reconstruct and maintain a deep knowledge of the cellular network, possibly starting from crowdsourced information only.

Pengembangan Sistem Informasi Geografis Pemetaan Tower Base Transceiver Station (BTS) Berbasis WEB

AbstractGeographic Information System (GIS) is an effective medium to identify the location of cellular operator telecommunication towers in finding locations that are not covered by cellular operator telecommunication tower signals and supports the placement of new cellular operator telecommunication towers. Based on this, the problems that arise are difficulties in obtaining information on the location of telecommunication towers for cellular operators, differences in distances that can be traveled, the difficulty of the BTS (Base Transceiver Station) Development and Control Supervisory Board knowing how many telecommunication towers from each provider in Bandar Lampung. and the absence of a system to identify the location of cellular operator telecommunication towers in Bandar Lampung digitally. Based on this, the researcher proposes a Geographic information system for mapping tower bases transceiver stations (BTS). From the results of the research that has been done, the Geographic Information System (GIS) can identify the tower location points. With this system, it is hoped that this system can be used as a reference for the BTS Development and Control Supervisory Agency in identifying the location of cellular operator telecommunication towers in Bandar Lampung as well as being a reference for the BTS (Base Transceiver Station) Development and Control Supervisor in the construction and placement of new cellular operator telecommunication towers in Bandar Lampung. Bandar Lampung.

Classified 3D mapping and deep learning-aided signal power estimation architecture for the deployment of wireless communication systems

The traditional wireless communication systems deployment models require expensive and time-consuming procedures, including environment selection (rural, urban, and suburban), drive test data collection, and analysis of the raw data. These procedures mainly utilize stochastic and deterministic approaches for signal strength prediction to locate the optimum cellular tower (eNodeB) position for 4G and 5G systems. Since environment selection is limited by urban, suburban, and rural areas, they do not cover complex macro and micro variations, especially buildings and tree canopies having a higher impact on signal fading due to scattering and absorption. Therefore, they usually end up with high prediction errors. This article proposes an efficient architecture for the deployment of communication systems. The proposed method determines the effect of the environment via extracting tree and building properties by using a classified 3D map and You Only Look Once (YOLO) V5, which is one of the most efficient deep learning algorithms. According to the results, the mean average precision (mAP) 0.5% and mAP 0.95% accuracies are obtained as 0.96 and 0.45, and image color classification (ICC) findings indicate 77.6% accuracy on vegetation detection, especially for tree canopies. Thus, the obtained results significantly improved signal strength prediction with a 3.96% Mean Absolute Percentage Error (MAPE) rate, while other empirical models’ prediction errors fall in the range of 6.07–15.26%.

Measurement and assessment of mobile network electromagnetic radiation pollution in Ramadi, Iraq

The electromagnetic radiation produced by cellular towers in Ramadi city, west of Iraq, is measured and analyzed in this research. This contains basic nodes, hub repeaters, and feeders for transmitting the carrier throughout the entire Ramadi city as well as the surrounding areas. As a result, this research focused on this area to measure and assess energy to determine if it is safe for people or has over the danger threshold. The study region was split into fifty-five mobile phone tower locations. In general, electric field intensity levels surpass 1.7 V/m, which is dangerous and should be reduced. However, apart from a few sites (2, 3, 35, 36, 45, 51, and 53), the magnetic field intensity and radiation density are acceptable based on the findings. The energy severity criteria are based on LATNEX corporation's guidelines.

Estimation of trace elements in workers at electrical substations and communication towers in Baghdad City

The works on pollution in developing countries indicate a prevalence of trace elements in environment. Electrical stations and cellular communication towers are important sources of pollution that affects the quality of human health. While the electric power generating stations constructed away from cities, the substations are located near the consumers. Because of the lack in information on the effects of electric substations on human health and the abundance of cellular towers in Baghdad we aimed to evaluate the trace elements in the workers at these two facilities since they are on continuous exposure to the underlying pollution. Lead (Pb) and cadmium (Cd) were evaluated in the blood, while copper (Cu), zinc (Zn) and manganese (Mn) were evaluated in the serum of forty workers at electrical substations and forty workers at communication towers and compared with forty healthy people with no attachments to these two facilities. The effect of trace elements on renal and liver function was estimated. The levels of blood Pb, Cd, and Cu were significantly (P&lt;0.05) higher in workers at electrical substations and communication towers compared to control. On the other hand, Zn level was significantly (P&lt;0.05) reduced in electrical substation and communication towers workers compared to control.

The Effect of Electrical Substations and Cellular Communication Towers on Oxidative Stress and Thyroid Gland Hormones

The Effect of Electrical Substations and Cellular Communication Towers on Oxidative Stress and Thyroid Gland Hormones