This page has only limited features, please log in for full access.
Pedro Sebastião, Ph.D. in Electrical and Computer Engineering at IST, is currently a lecturer at ISCTE-Instituto Universitario de Lisboa (Information Science and Technology Department and board director of AUDAX-ISCTE - Innovation and Entrepreneurship Centre at ISCTE, responsible by the LABSLISBOA (incubator of startups) and New Projects area. His main research interests are in monitoring, control, and communications of drones, unmanned vehicles, planning tools, stochastic processes (modeling and efficient simulations), internet of things, efficient communication systems, jamming and spoofing techniques, and business models. He has oriented several MSc. and Ph.D. theses. He is the author or co-author of more than one hundred scientific articles and he has been responsible for several national and international R&D&I projects. He has several scientific, engineering, and pedagogical awards. Additionally, he has organized or co-organized more than one hundred national and international scientific conferences. He planned and developed several postgraduate courses in technologies and management, entrepreneurship and innovation, and transfer of technology and innovation.
Mobile networks management is increasingly critical due to heavy communications usage by customers and complex due to the multiple technologies and systems deployed. Thus, Mobile Network Operators (MNOs) are constantly looking for better software solutions and tools to help them increase network performance and manage their networks more efficiently. In this paper, we present a modular web-based software solution to tackle problems related to mobile network planning, operation and optimization. The solution is focused on a set of functional requirements carefully chosen to support the network life cycle management, from planning to Operation and Maintenance (OAM) and optimisation stages. Based on a 3-tier modular architecture and implemented using only open-source software, the solution handles multiple data sources (e.g., Drive Test (DT) and Performance Management (PM)) and multiple Radio Access Network (RAN) technologies. MNOs can explore all available data through a flexible and user-friendly web interface, that also includes map-based visualization of the network. Moreover, the solution incorporates a set of recently developed and validated RAN algorithms, supporting tasks of network diagnosis, optimization, and planning. Also, with the purpose of optimizing the network, MNOs can investigate network simulations, using the RAN algorithms, of how the network will behave under certain conditions, and visualize the outcome of those simulations.
Adriano Lopes; João Oliveira; Pedro Sebastião; Marco Sousa; Pedro Vieira. A Modular Web-Based Software Solution for Mobile Networks Planning, Operation and Optimization. Applied Sciences 2021, 11, 7686 .
AMA StyleAdriano Lopes, João Oliveira, Pedro Sebastião, Marco Sousa, Pedro Vieira. A Modular Web-Based Software Solution for Mobile Networks Planning, Operation and Optimization. Applied Sciences. 2021; 11 (16):7686.
Chicago/Turabian StyleAdriano Lopes; João Oliveira; Pedro Sebastião; Marco Sousa; Pedro Vieira. 2021. "A Modular Web-Based Software Solution for Mobile Networks Planning, Operation and Optimization." Applied Sciences 11, no. 16: 7686.
In mobile network deployments of growing size, the optimum and fast planning of radio resources are a key task. Cloud services enable efficient and scalable implementation of procedures and algorithms. In this paper, a proof of concept implementation of a cloud-based network planning work pattern using Amazon Web Services (AWS) is presented, containing new and efficient radio resource planning algorithms for 3G, 4G and 5G systems. It extracts configuration and performance data from the network, enabling to accurately estimate cells coverage, identify neighboring cells and optimally plan scrambling codes (SCs) and physical cell identity (PCI) in 3G and 4G/5G networks, respectively. This implementation was integrated and is available in the commercial Metric Software-as-a-Service (SaaS) monitoring and planning tool. The cloud-based planning system is demonstrated in various canonical and realistic Universal Mobile Telecommunications System (UMTS) and Long Term Evolution (LTE) scenarios, and compared to an algorithm previously used by Metric. For a small LTE realistic scenario consisting of 9 sites and 23 cells, it takes less than 0.6 seconds to perform the planning. For an UMTS realistic scenario with 12 484 unplanned cells, the planning is efficiently achieved, taking less than 8 seconds, and guaranteeing no collisions between first order neighboring cells. The proposed concept is proved, as this system, capable of automatically planning 3/4/5G realistic networks of multi-vendor equipment, makes Metric more attractive to the market.
Rodrigo Cortesao; Daniel F. S. Fernandes; Gabriela E. Soares; Diogo J. A. Clemente; Pedro J. A. Sebastiao; Lucio S. Ferreira. Cloud-Based Implementation of a SON Radio Resources Planning System for Mobile Networks and Integration in SaaS Metric. IEEE Access 2021, 9, 86331 -86345.
AMA StyleRodrigo Cortesao, Daniel F. S. Fernandes, Gabriela E. Soares, Diogo J. A. Clemente, Pedro J. A. Sebastiao, Lucio S. Ferreira. Cloud-Based Implementation of a SON Radio Resources Planning System for Mobile Networks and Integration in SaaS Metric. IEEE Access. 2021; 9 ():86331-86345.
Chicago/Turabian StyleRodrigo Cortesao; Daniel F. S. Fernandes; Gabriela E. Soares; Diogo J. A. Clemente; Pedro J. A. Sebastiao; Lucio S. Ferreira. 2021. "Cloud-Based Implementation of a SON Radio Resources Planning System for Mobile Networks and Integration in SaaS Metric." IEEE Access 9, no. : 86331-86345.
Machine Learning brings intelligence services to IoT systems, with Edge Computing contributing for edge nodes to be part of these services, allowing data to be processed directly in the nodes in real time. This paper introduces a new way of creating a self-configurable IoT node, in terms of communications, supported by machine learning and edge computing, in order to achieve a better efficiency in terms of power consumption, as well as a comparison between regression models and between deploying them in edge or cloud fashions, with a real case implementation. The correct choice of protocol and configuration parameters can make the difference between a device battery lasting 100 times more. The proposed method predicts the energy consumption and quality of signal using regressions based on node location, distance and obstacles and the transmission power used. With an accuracy of 99.88% and a margin of error of 1.504 mA for energy consumption and 98.68% and a margin of error of 1.9558 dBm for link quality, allowing the node to use the best transmission power values for reliability and energy efficiency. With this it is possible to achieve a network that can reduce up to 68% the energy consumption of nodes while only compromising in 7% the quality of the network. Besides that, edge computing proves to be a better solution when energy efficient nodes are needed, as less messages are exchanged, and the reduced latency allows nodes to be configured in less time.
Andre F. X. Gloria; Pedro J. A. Sebastiao. Autonomous Configuration of Communication Systems for IoT Smart Nodes Supported by Machine Learning. IEEE Access 2021, 9, 75021 -75034.
AMA StyleAndre F. X. Gloria, Pedro J. A. Sebastiao. Autonomous Configuration of Communication Systems for IoT Smart Nodes Supported by Machine Learning. IEEE Access. 2021; 9 ():75021-75034.
Chicago/Turabian StyleAndre F. X. Gloria; Pedro J. A. Sebastiao. 2021. "Autonomous Configuration of Communication Systems for IoT Smart Nodes Supported by Machine Learning." IEEE Access 9, no. : 75021-75034.
Presently, saving natural resources is increasingly a concern, and water scarcity is a fact that has been occurring in more areas of the globe. One of the main strategies used to counter this trend is the use of new technologies. On this topic, the Internet of Things has been highlighted, with these solutions being characterized by offering robustness and simplicity, while being low cost. This paper presents the study and development of an automatic irrigation control system for agricultural fields. The developed solution had a wireless sensors and actuators network, a mobile application that offers the user the capability of consulting not only the data collected in real time but also their history and also act in accordance with the data it analyses. To adapt the water management, Machine Learning algorithms were studied to predict the best time of day for water administration. Of the studied algorithms (Decision Trees, Random Forest, Neural Networks, and Support Vectors Machines) the one that obtained the best results was Random Forest, presenting an accuracy of 84.6%. Besides the ML solution, a method was also developed to calculate the amount of water needed to manage the fields under analysis. Through the implementation of the system it was possible to realize that the developed solution is effective and can achieve up to 60% of water savings.
André Glória; João Cardoso; Pedro Sebastião. Sustainable Irrigation System for Farming Supported by Machine Learning and Real-Time Sensor Data. Sensors 2021, 21, 3079 .
AMA StyleAndré Glória, João Cardoso, Pedro Sebastião. Sustainable Irrigation System for Farming Supported by Machine Learning and Real-Time Sensor Data. Sensors. 2021; 21 (9):3079.
Chicago/Turabian StyleAndré Glória; João Cardoso; Pedro Sebastião. 2021. "Sustainable Irrigation System for Farming Supported by Machine Learning and Real-Time Sensor Data." Sensors 21, no. 9: 3079.
Methods to implement communication in natural and humanmade disasters have been widely discussed in the scientific community. Scientists believe that unmanned aerial vehicles (UAVs) relays will play a critical role in 5G public safety communications (PSC) due to their technical superiority. They have several significant advantages: a high degree of mobility, flexibility, exceptional line of sight, and real-time adaptative planning. For instance, cell edge coverage could be extended using relay UAVs. This paper summarizes the sidelink evolution in the 3GPP standardization associated with the usage of the device to device (D2D) techniques that use long term evolution (LTE) communication systems, potential extensions for 5G, and a study on the impact of circular mobility on relay UAVs using the software network simulator 3 (NS3). In this simulation, the transmitted packet percentage was evaluated where the speed of the UAV for users was changed. This paper also examines the multi-input multi-output (MIMO) communication applied to drones and proposes a new trajectory to assist users experiencing unfortunate circumstances. The overall communication is highly dependent on the drone speed and the use of MIMO and suitable antennas may influence overall transmission between users and the UAVs relay. When the UAVs relaying speed was configured at 108 km/h the total transmission rate was reduced to 55% in the group with 6 users allocated to each drone.
Joseanne Viana; Francisco Cercas; Américo Correia; Rui Dinis; Pedro Sebastião. MIMO Relaying UAVs Operating in Public Safety Scenarios. Drones 2021, 5, 32 .
AMA StyleJoseanne Viana, Francisco Cercas, Américo Correia, Rui Dinis, Pedro Sebastião. MIMO Relaying UAVs Operating in Public Safety Scenarios. Drones. 2021; 5 (2):32.
Chicago/Turabian StyleJoseanne Viana; Francisco Cercas; Américo Correia; Rui Dinis; Pedro Sebastião. 2021. "MIMO Relaying UAVs Operating in Public Safety Scenarios." Drones 5, no. 2: 32.
Water is a crucial natural resource, and it is widely mishandled, with an estimated one third of world water utilities having loss of water of around 40% due to leakage. This paper presents a proposal for a system based on a wireless sensor network designed to monitor water distribution systems, such as irrigation systems, which, with the help of an autonomous learning algorithm, allows for precise location of water leaks. The complete system architecture is detailed, including hardware, communication, and data analysis. A study to discover the best machine learning algorithm between random forest, decision trees, neural networks, and Support Vector Machine (SVM) to fit leak detection is presented, including the methodology, training, and validation as well as the obtained results. Finally, the developed system is validated in a real-case implementation that shows that it is able to detect leaks with a 75% accuracy.
João Alves Coelho; André Glória; Pedro Sebastião. Precise Water Leak Detection Using Machine Learning and Real-Time Sensor Data. IoT 2020, 1, 474 -493.
AMA StyleJoão Alves Coelho, André Glória, Pedro Sebastião. Precise Water Leak Detection Using Machine Learning and Real-Time Sensor Data. IoT. 2020; 1 (2):474-493.
Chicago/Turabian StyleJoão Alves Coelho; André Glória; Pedro Sebastião. 2020. "Precise Water Leak Detection Using Machine Learning and Real-Time Sensor Data." IoT 1, no. 2: 474-493.
The demand for ubiquitous telecommunications services forces operators to have a special concern about signal quality and the coverage area they offer to their customers. This was usually checked by using suitable propagation models for Single Input Single Output (SISO) systems, which are no longer the case for new and future mobile generations, such as 5G and beyond. To guarantee good signal quality coverage, operators started to replace these models with Multiple Input Multiple Output (MIMO) ones. To achieve the best results, these models are usually calibrated with Drive Test (DT) measures; however, the DTs available for MIMO propagation models are sparse, in contrast to SISO ones. The main contribution presented in this paper is a methodology to extend the propagation models of SISO systems so they can be applied in MIMO sytems with Single-Carrier and Frequency-Domain Equalization (SC-FDE), while still using DTs acquired for SISO systems. This paper presents the impact on Bit Error Rate (BER) performance and its coverage area resulting from the application of our proposed method. We consider a MIMO SC-FDE system with an Iterative Block Decision Feedback Equalization (IB-DFE) receiver and we present the improvement expressions for the BER that we illustrate with some simulations.
Daniel Fernandes; Francisco Cercas; Rui Dinis; Pedro Sebastião. Estimating the Performance of MIMO SC-FDE Systems Using SISO Measurements. Applied Sciences 2020, 10, 7492 .
AMA StyleDaniel Fernandes, Francisco Cercas, Rui Dinis, Pedro Sebastião. Estimating the Performance of MIMO SC-FDE Systems Using SISO Measurements. Applied Sciences. 2020; 10 (21):7492.
Chicago/Turabian StyleDaniel Fernandes; Francisco Cercas; Rui Dinis; Pedro Sebastião. 2020. "Estimating the Performance of MIMO SC-FDE Systems Using SISO Measurements." Applied Sciences 10, no. 21: 7492.
To help telecommunication operators in their network planning, namely coverage estimation and optimisation tasks, this paper presents a comparison between a semi-empirical propagation model and a propagation model generated using Artificial Intelligence (AI). These two types of propagation models are quite different in their design. The semi-empiric Automatically Calibrated Standard Propagation Model (ACSPM) is specific for an operating antenna, being calibrated every time a use case application is used and the Artificial Intelligence Propagation Model (AIPM) can be applied in different scenarios, once trained, allowing to estimate coverage for a new antenna location, using information from neighboring antennas. These models have quite different features and applicability. The ACSPM should be applied in network optimisation, when using data from the current state of the antennas. The AIPM can be used in the deployment of new antennas, as it uses data from a certain geographical area. For a better comparison of the models studied, extensive Drive Tests (DT) collection campaigns conducted by operators are used, since coverage estimations are more realistic when DTs are considered. Both models are generated using very different methodologies, but their resulting performance is very similar. The AIPM achieves a Mean Absolute Error (MAE) up to 6:1 dB with a standard deviation of 4 dB. When compared to the ACSPM we have an improvement of 0:5 dB, since this only achieves a MAE up to 6:6 dB. AIPM achieves better results and is the characterised for being completely agnostic and definition-free, when compared with known propagation models.
Daniel F. S. Fernandes; Antonio Raimundo; Francisco Cercas; Pedro J. A. Sebastiao; Rui Dinis; Lucio S. Ferreira. Comparison of Artificial Intelligence and Semi-Empirical Methodologies for Estimation of Coverage in Mobile Networks. IEEE Access 2020, 8, 139803 -139812.
AMA StyleDaniel F. S. Fernandes, Antonio Raimundo, Francisco Cercas, Pedro J. A. Sebastiao, Rui Dinis, Lucio S. Ferreira. Comparison of Artificial Intelligence and Semi-Empirical Methodologies for Estimation of Coverage in Mobile Networks. IEEE Access. 2020; 8 (99):139803-139812.
Chicago/Turabian StyleDaniel F. S. Fernandes; Antonio Raimundo; Francisco Cercas; Pedro J. A. Sebastiao; Rui Dinis; Lucio S. Ferreira. 2020. "Comparison of Artificial Intelligence and Semi-Empirical Methodologies for Estimation of Coverage in Mobile Networks." IEEE Access 8, no. 99: 139803-139812.
With the increasing number of mobile subscribers worldwide, there is a need for fast and reliable algorithms for planning/optimization of mobile networks, especially because, in order to maintain a network’s quality of service, an operator might need to deploy more equipment. This paper presents a quick and reliable way to automatically plan a set of frequencies in a cellular network, using both cloud technologies and linear programming. We evaluate our pattern in a realistic scenario of a Global System for Mobile communications protocol (GSM) network and compare the results to another already implemented commercial tool. Results show that even though network quality was similar, our algorithm was twelve times faster and used four times less memory. It was also able to frequency plan seventy cells simultaneously in less than three minutes. This mechanism was successfully integrated in the professional tool Metric, and is currently being used for cellular planning. Its extension for application to 3/4/5G networks is under study.
André Godinho; Daniel Fernandes; Gabriela Soares; Paulo Pina; Pedro Sebastião; Américo Correia; Lucio S. Ferreira. A Novel Way to Automatically Plan Cellular Networks Supported by Linear Programming and Cloud Computing. Applied Sciences 2020, 10, 3072 .
AMA StyleAndré Godinho, Daniel Fernandes, Gabriela Soares, Paulo Pina, Pedro Sebastião, Américo Correia, Lucio S. Ferreira. A Novel Way to Automatically Plan Cellular Networks Supported by Linear Programming and Cloud Computing. Applied Sciences. 2020; 10 (9):3072.
Chicago/Turabian StyleAndré Godinho; Daniel Fernandes; Gabriela Soares; Paulo Pina; Pedro Sebastião; Américo Correia; Lucio S. Ferreira. 2020. "A Novel Way to Automatically Plan Cellular Networks Supported by Linear Programming and Cloud Computing." Applied Sciences 10, no. 9: 3072.
One of the main concerns of telecommunications operators is related to network coverage. A weak coverage can lead to a performance decrease, not only in the user experience, when using the operators’ services, such as multimedia streaming, but also in the overall Quality of Service. This paper presents a novel cloud-based framework of a semi-empirical propagation model that estimates the coverage in a precise way. The novelty of this model is that it is automatically calibrated by using drive test measurements, terrain morphology, buildings in the area, configurations of the network itself and key performance indicators, automatically extracted from the operator’s network. Requirements and use cases are presented as motivations for this methodology. The results achieve an accuracy of about 5 dB, allowing operators to obtain accurate neighbour lists, optimise network planning and automate certain actions on the network by enabling the Self-Organising Network concept. The cloud implementation enables a fast and easy integration with other network management and monitoring tools, such as the METRIC platform, optimising operators’ resource usage recurring to elastic resources on-demand when needed. This implementation was integrated into the METRIC platform, which is currently available to be used by several operators.
Daniel Fernandes; Diogo Clemente; Gabriela Soares; Pedro Sebastiao; Francisco Cercas; Rui Dinis; Lucio S. Ferreira. Cloud-Based Implementation of an Automatic Coverage Estimation Methodology for Self-Organising Network. IEEE Access 2020, 8, 66456 -66474.
AMA StyleDaniel Fernandes, Diogo Clemente, Gabriela Soares, Pedro Sebastiao, Francisco Cercas, Rui Dinis, Lucio S. Ferreira. Cloud-Based Implementation of an Automatic Coverage Estimation Methodology for Self-Organising Network. IEEE Access. 2020; 8 (99):66456-66474.
Chicago/Turabian StyleDaniel Fernandes; Diogo Clemente; Gabriela Soares; Pedro Sebastiao; Francisco Cercas; Rui Dinis; Lucio S. Ferreira. 2020. "Cloud-Based Implementation of an Automatic Coverage Estimation Methodology for Self-Organising Network." IEEE Access 8, no. 99: 66456-66474.
The increased use of unmanned aerial vehicles (UAVs), better known as drones, by civilians has grown exponentially and their autonomous flight control systems have improved significantly, which has resulted in a greater number of accidents and dangerous situations. To help resolve this problem, in this paper, we address the use of low-cost Software Defined Radio (SDR) platforms for simulating a global navigation satellite system (GNSS), more specifically the global positioning system (GPS), in order to transmit false signals and induce a location error on the targeted GPS receiver. Using this approach, a defensive system can be implemented which can divert, or even take control of unauthorized UAVs whose flight path depends on the information obtained by the GPS system.
João Gaspar; Renato Ferreira; Pedro Sebastião; Nuno Souto. Capture of UAVs Through GPS Spoofing Using Low-Cost SDR Platforms. Wireless Personal Communications 2020, 115, 2729 -2754.
AMA StyleJoão Gaspar, Renato Ferreira, Pedro Sebastião, Nuno Souto. Capture of UAVs Through GPS Spoofing Using Low-Cost SDR Platforms. Wireless Personal Communications. 2020; 115 (4):2729-2754.
Chicago/Turabian StyleJoão Gaspar; Renato Ferreira; Pedro Sebastião; Nuno Souto. 2020. "Capture of UAVs Through GPS Spoofing Using Low-Cost SDR Platforms." Wireless Personal Communications 115, no. 4: 2729-2754.
Fifth generation (5G) and Beyond-5G (B5G) will be characterized by highly dense deployments, both on network plane and user plane. Internet of Things, massive sensor deployments and base stations will drive even more energy consumption. User behavior towards mobile service usage is witnessing a paradigm shift with heavy capacity, demanding services resulting in an increase of both screen time and data transfers, which leads to additional power consumption. Mobile network operators will face additional energetic challenges, mainly related to power consumption and network sustainability, starting right in the planning phase with concepts like energy efficiency and greenness by design coming into play. The main contribution of this work is a two-tier method to address such challenges leading to positively-offset carbon dioxide emissions related to mobile networks using a novel approach. The first tier contributes to overall power reduction and optimization based on energy efficient methods applied to 5G and B5G networks. The second tier aims to offset the remaining operational power usage by completely offsetting its carbon footprint through geosequestration. This way, we show that the objective of minimizing overall networks’ carbon footprint is achievable. Conclusions are drawn and it is shown that carbon sequestration initiatives or program adherence represent a negligible cost impact on overall network cost, with the added value of greener and more environmentally friendly network operation. This can also relieve the pressure on mobile network operators in order to maximize compliance with environmentally neutral activity.
Luís Carlos Gonçalves; Pedro Sebastião; Nuno Souto; Américo Correia. One Step Greener: Reducing 5G and Beyond Networks’ Carbon Footprint by 2-Tiering Energy Efficiency with CO2 Offsetting. Electronics 2020, 9, 464 .
AMA StyleLuís Carlos Gonçalves, Pedro Sebastião, Nuno Souto, Américo Correia. One Step Greener: Reducing 5G and Beyond Networks’ Carbon Footprint by 2-Tiering Energy Efficiency with CO2 Offsetting. Electronics. 2020; 9 (3):464.
Chicago/Turabian StyleLuís Carlos Gonçalves; Pedro Sebastião; Nuno Souto; Américo Correia. 2020. "One Step Greener: Reducing 5G and Beyond Networks’ Carbon Footprint by 2-Tiering Energy Efficiency with CO2 Offsetting." Electronics 9, no. 3: 464.
Lately, a rising number of incidents between unmanned aerial vehicles (UAVs) and airplanes have been reported in airports and airfields. In order to help cope with the problem of unauthorized UAV operations, in this paper we evaluate the use of low cost SDR platforms (software defined radio) for the implementation of a jammer able to generate an effective interfering signal aimed at the GPS navigation system. Using a programmable BladeRF x40 platform from Nuand and the GNU radio software development toolkit, several interference techniques were studied and evaluated, considering the spectral efficiency, energy efficiency and complexity. It was shown that the tested approaches are capable of stopping the reliable reception of the radionavigation signal in real-life scenarios, neutralizing the capacity for autonomous operation of the vehicle.
Renato Ferreira; João Gaspar; Pedro Sebastião; Nuno Souto. Effective GPS Jamming Techniques for UAVs Using Low-Cost SDR Platforms. Wireless Personal Communications 2020, 115, 2705 -2727.
AMA StyleRenato Ferreira, João Gaspar, Pedro Sebastião, Nuno Souto. Effective GPS Jamming Techniques for UAVs Using Low-Cost SDR Platforms. Wireless Personal Communications. 2020; 115 (4):2705-2727.
Chicago/Turabian StyleRenato Ferreira; João Gaspar; Pedro Sebastião; Nuno Souto. 2020. "Effective GPS Jamming Techniques for UAVs Using Low-Cost SDR Platforms." Wireless Personal Communications 115, no. 4: 2705-2727.
This paper introduces a new way of managing water in irrigation systems, which can be applied to gardens or agricultural fields, replacing human intervention with Wireless Sensor Networks. A typical irrigation system wastes on average 30% of the water used, due to poor management and configuration. This sustainable irrigation system allows a better efficiency in the process of irrigation that can lead to savings for the end user, not only monetary but also in natural resources, such as water and energy, leading to a more sustainable environment. The system can retrieve real time data and use them to determinate the correct amount of water to be used in a garden. With this solution, it is possible to save up to 34% of water when using sensor data from temperature, humidity and soil moisture, or up to 26% when using only temperature inputs. Besides a detailed system architecture, this paper includes a real case scenario implementation and results discussion.
André Glória; Carolina Dionisio; Gonçalo Simões; João Cardoso; Pedro Sebastião. Water Management for Sustainable Irrigation Systems Using Internet-of-Things†. Sensors 2020, 20, 1402 .
AMA StyleAndré Glória, Carolina Dionisio, Gonçalo Simões, João Cardoso, Pedro Sebastião. Water Management for Sustainable Irrigation Systems Using Internet-of-Things†. Sensors. 2020; 20 (5):1402.
Chicago/Turabian StyleAndré Glória; Carolina Dionisio; Gonçalo Simões; João Cardoso; Pedro Sebastião. 2020. "Water Management for Sustainable Irrigation Systems Using Internet-of-Things†." Sensors 20, no. 5: 1402.
This work focuses on providing enhanced capacity planning and resource management for 5G networks through bridging data science concepts with usual network planning processes. For this purpose, we propose using a subscriber-centric clustering approach, based on subscribers’ behavior, leading to the concept of intelligent 5G networks, ultimately resulting in relevant advantages and improvements to the cellular planning process. Such advanced data-science-related techniques provide powerful insights into subscribers’ characteristics that can be extremely useful for mobile network operators. We demonstrate the advantages of using such techniques, focusing on the particular case of subscribers’ behavior, which has not yet been the subject of relevant studies. In this sense, we extend previously developed work, contributing further by showing that by applying advanced clustering, two new behavioral clusters appear, whose traffic generation and capacity demand profiles are very relevant for network planning and resource management and, therefore, should be taken into account by mobile network operators. As far as we are aware, for network, capacity, and resource management planning processes, it is the first time that such groups have been considered. We also contribute by demonstrating that there are extensive advantages for both operators and subscribers by performing advanced subscriber clustering and analytics.
Luis Carlos Barruncho dos Santos Goncalves; Pedro Sebastião; Nuno Souto; Américo Correia. Extending 5G Capacity Planning Through Advanced Subscriber Behavior-Centric Clustering. Electronics 2019, 8, 1385 .
AMA StyleLuis Carlos Barruncho dos Santos Goncalves, Pedro Sebastião, Nuno Souto, Américo Correia. Extending 5G Capacity Planning Through Advanced Subscriber Behavior-Centric Clustering. Electronics. 2019; 8 (12):1385.
Chicago/Turabian StyleLuis Carlos Barruncho dos Santos Goncalves; Pedro Sebastião; Nuno Souto; Américo Correia. 2019. "Extending 5G Capacity Planning Through Advanced Subscriber Behavior-Centric Clustering." Electronics 8, no. 12: 1385.
With the rapid increase of smart devices, keeping track of household consumptions is a service that starts to be automated. This paper presents a proposal for a system based on wireless sensor networks designed for the purpose of monitoring and controlling environment parameters of a smart home. In order to obtain an efficient and inexpensive system, a study was made to select the best hardware and software solutions for this system. This system allows the user, through an Android application, to view all the information collected by the sensors, and consequently act in a way to make his home more sustainable. The main advantage of this system is to take into account that all its components are small, practical and with high efficiency, in addition it allows an easy installation and in order to get involved with the inner environment, another advantage is to allow system interaction with the user.
Carolina Dionisio; Goncalo Simoes; André Glória; Pedro Sebastiao; Nuno Souto. Distributed Sensing Solution for Home Efficiency Tracking. 2019 IEEE 5th World Forum on Internet of Things (WF-IoT) 2019, 825 -828.
AMA StyleCarolina Dionisio, Goncalo Simoes, André Glória, Pedro Sebastiao, Nuno Souto. Distributed Sensing Solution for Home Efficiency Tracking. 2019 IEEE 5th World Forum on Internet of Things (WF-IoT). 2019; ():825-828.
Chicago/Turabian StyleCarolina Dionisio; Goncalo Simoes; André Glória; Pedro Sebastiao; Nuno Souto. 2019. "Distributed Sensing Solution for Home Efficiency Tracking." 2019 IEEE 5th World Forum on Internet of Things (WF-IoT) , no. : 825-828.
The Unmanned Aerial Vehicles (UAV) and its applications are growing for both civilian and military purposes. The operability of an UAV proved that some tasks and operations can be done easily and at a good cost-efficiency ratio. Nowadays, an UAV can perform autonomous missions. It is very useful to certain UAV applications, such as meteorology, vigilance systems, agriculture, environment mapping and search and rescue operations. One of the biggest problems that an UAV faces is the possibility of collision with other objects in the flight area. To avoid this, an algorithm was developed and implemented in order to prevent UAV collision with other objects. “Sense and Avoid” algorithm was developed as a system for UAVs to avoid objects in collision course. This algorithm uses a Light Detection and Ranging (LiDAR), to detect objects facing the UAV in mid-flights. This light sensor is connected to an on-board hardware, Pixhawk’s flight controller, which interfaces its communications with another hardware: Raspberry Pi. Communications between Ground Control Station and UAV are made via Wi-Fi or cellular third or fourth generation (3G/4G). Some tests were made in order to evaluate the “Sense and Avoid” algorithm’s overall performance. These tests were done in two different environments: A 3D simulated environment and a real outdoor environment. Both modes worked successfully on a simulated 3D environment, and “Brake” mode on a real outdoor, proving its concepts.
A. Raimundo; D. Peres; N. Santos; P. Sebastião; N. Souto. USING DISTANCE SENSORS TO PERFORM COLLISION AVOIDANCE MANEUVRES ON UAV APPLICATIONS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2017, XLII-2/W6, 303 -309.
AMA StyleA. Raimundo, D. Peres, N. Santos, P. Sebastião, N. Souto. USING DISTANCE SENSORS TO PERFORM COLLISION AVOIDANCE MANEUVRES ON UAV APPLICATIONS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2017; XLII-2/W6 ():303-309.
Chicago/Turabian StyleA. Raimundo; D. Peres; N. Santos; P. Sebastião; N. Souto. 2017. "USING DISTANCE SENSORS TO PERFORM COLLISION AVOIDANCE MANEUVRES ON UAV APPLICATIONS." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W6, no. : 303-309.
Anders Lyhne Christensen; Sancho Oliveira; Octavian Postolache; Maria João De Oliveira; Susana Sargento; Pedro Santana; Luís Nunes; Fernando Vélez; Pedro Sebastiao; Vasco Costa; Miguel Duarte; Jorge Gomes; Tiago Rodrigues; Fernando Silva. Design of Communication and Control for Swarms of Aquatic Surface Drones. Proceedings of the International Conference on Agents and Artificial Intelligence 2015, 548 -555.
AMA StyleAnders Lyhne Christensen, Sancho Oliveira, Octavian Postolache, Maria João De Oliveira, Susana Sargento, Pedro Santana, Luís Nunes, Fernando Vélez, Pedro Sebastiao, Vasco Costa, Miguel Duarte, Jorge Gomes, Tiago Rodrigues, Fernando Silva. Design of Communication and Control for Swarms of Aquatic Surface Drones. Proceedings of the International Conference on Agents and Artificial Intelligence. 2015; ():548-555.
Chicago/Turabian StyleAnders Lyhne Christensen; Sancho Oliveira; Octavian Postolache; Maria João De Oliveira; Susana Sargento; Pedro Santana; Luís Nunes; Fernando Vélez; Pedro Sebastiao; Vasco Costa; Miguel Duarte; Jorge Gomes; Tiago Rodrigues; Fernando Silva. 2015. "Design of Communication and Control for Swarms of Aquatic Surface Drones." Proceedings of the International Conference on Agents and Artificial Intelligence , no. : 548-555.
Increasingly mobile data traffic and high quality service demand has driven standard developments and new mobile technologies deployment at an unprecedented level. Long Term Evolution (LTE) standard and its improved version LTE-Advanced (LTE-A) are two technology standards developed to cope with high levels of mobile data traffic demand. However, traffic and revenue disparity still is a reality, suggesting that traditional network deployment methods - based mainly on macro cellular sites - might prove to be cost ineffective in the long term. From another perspective, and increasingly important for mobile network operators, revenue is also a function of each mobile network deployment's sustainability. This work aims to comprehensively elaborate on those matters by presenting four specific scenarios with a comparative analysis of both macro and femtocell deployments (single and both technology networks). For each scenario, capacity, cost effectiveness and expected carbon emissions are the evaluated key indicators. This kind of analysis provides mobile networks operators with relevant information, enabling them to sustainably adapt business and provisioning models as well as network deployment strategies to current and future technological standards, while minimizing capital and operational expenditure (CAPEX/OPEX). The main contribution is that in short term, mixed macro and femtocell deployment scenarios are the most cost effective and sustainable option, while in mid to long term, as data traffic demand rises, femtocell deployments become the most sustainable, not only from economical and environmental points of view, but also from network coverage stand point.
Filipe Vaz; Pedro Sebastião; Luis Carlos Barruncho dos Santos Goncalves; Américo Correia. Femtocell deployment in LTE-A networks: A sustainability, economical and capacity analysis. 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) 2013, 3423 -3427.
AMA StyleFilipe Vaz, Pedro Sebastião, Luis Carlos Barruncho dos Santos Goncalves, Américo Correia. Femtocell deployment in LTE-A networks: A sustainability, economical and capacity analysis. 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). 2013; ():3423-3427.
Chicago/Turabian StyleFilipe Vaz; Pedro Sebastião; Luis Carlos Barruncho dos Santos Goncalves; Américo Correia. 2013. "Femtocell deployment in LTE-A networks: A sustainability, economical and capacity analysis." 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) , no. : 3423-3427.
This paper describes the economic and environmental comparative analysis performed on macro and femtocell deployments and most prevalent results obtained. Four specific scenarios are studied and, for each one, an evaluation is made in terms of network capacity, cost effectiveness and expected carbon emissions on the environmental side. It provides mobile networks operators (MNO) with novel relevant information, enabling them to adapt business models and deployment approaches to current and future trends in a sustainable way, while minimizing capital (CAPEX) and operational expenditure (OPEX). It is verified that the scenario is mandatory to the best option macro-femtocell.
Filipe Vaz; Pedro Sebastião; Luis Carlos Barruncho dos Santos Goncalves; Americo Correia; Aldina Correia. Economic and environmental comparative analysis on macro-femtocell deployments in LTE-A. Wireless VITAE 2013 2013, 1 -5.
AMA StyleFilipe Vaz, Pedro Sebastião, Luis Carlos Barruncho dos Santos Goncalves, Americo Correia, Aldina Correia. Economic and environmental comparative analysis on macro-femtocell deployments in LTE-A. Wireless VITAE 2013. 2013; ():1-5.
Chicago/Turabian StyleFilipe Vaz; Pedro Sebastião; Luis Carlos Barruncho dos Santos Goncalves; Americo Correia; Aldina Correia. 2013. "Economic and environmental comparative analysis on macro-femtocell deployments in LTE-A." Wireless VITAE 2013 , no. : 1-5.