01771nas a2200145   4500008004100000245007000041210006900111520122000180100001801400700002101418700002201439700002401461700002401485856011601509       2022                        eng d00aResource Allocation In 5G and Beyond Networks for Mu-MIMO Systems0 aResource Allocation In 5G and Beyond Networks for MuMIMO Systems3 aThe resource allocation problem focuses on finding an optimal allocation of a specific number of resources to maintain Quality of Service (QoS). That is where Multiple-Input Multiple-Output (MIMO) come in as a radio antenna technology. In order to, optimize data speed, minimize errors and improve the radio transmission capacity MIMO utilizes multiple antennas at both the transmitter and the receiver. This technology uses a variety of antennas and paths that carry the data. Each antenna uses different paths. Multi-user MIMO (mu-MIMO) stands for a technology that allows routers to communicate simultaneously with multiple endpoint devices and it is the next evolutionary step of single user MIMO. Over the past decade, significant advances have been made to improve the performance of mu-MIMO. Although non-negligible progress has been achieved so far, optimal algorithms for Resource Allocation (RA) will help better the performance of mu-MIMO by increasing the system’s performance in terms of throughput, fairness, and QoS. The purpose of this paper is to provide a comparison of different beamforming techniques used for resource allocation and list them in ascending order depending on their efficiency.1 aBarri, Eirini1 aBouras, Christos1 aGkamas, Apostolos1 aKokkinos, Vasileios1 aKoukouvela, Aspasia  uhttp://telematics.upatras.gr/telematics/publications/resource-allocation-5g-and-beyond-networks-mu-mimo-systems01103nas a2200169   4500008004100000245009000041210006900131520044400200100002100644700001800665700002200683700002500705700002400730700002300754700002300777856013300800       2021                        eng d00aAn agent-based simulation model for energy saving in large passenger and cruise ships0 aagentbased simulation model for energy saving in large passenger3 aUndoubtedly, energy saving is of paramount importance in the shipping industry, as far as both the protection of environment and the reduction of the associated operating costs are concerned. In this direction, the
International Maritime Organization aims to reduce ship emissions by at least 50% by 2050, while ships to be built by 2025 are expected to be a massive 30% more energy efficient than those built some years ago [IMO,
2018].1 aBouras, Christos1 aBarri, Eirini1 aGkamas, Apostolos1 aKaracapilidis, Nikos1 aKaradimas, Dimitris1 aKournetas, Giorgos1 aPanaretou, Yiannis  uhttp://telematics.upatras.gr/telematics/publications/agent-based-simulation-model-energy-saving-large-passenger-and-cruise-ships01580nas a2200133   4500008004100000245005800041210005700099520109700156100001801253700002101271700002201292700002601314856010601340       2021                        eng d00aGuideMe: A system for Indoor Orientation and Guidance0 aGuideMe A system for Indoor Orientation and Guidance3 aThe interest for indoor navigational systems is expanding daily, and concerns among others visually impaired people that cannot navigate safely indoors. The main goal of such systems is to localize and direct the individual that has a wearable device and provide voice commands to navigate indoor buildings. This paper's aims to present the design and the implementation of the GuideMe project. GuideMe project’s goal is the design, implementation and evaluation of a navigation system focused on people that face troubles in indoor moving, utilizing a wearable device. Specifically, the focus group is people suffering from visual impairment. The person carrying the wearable device takes guidelines about the location from indoor UltraWide Band (UWB) anchors. The commands provided are about indoor direction through voice commands, assisting him to avoid obstacles in his route. We present the architecture and the details of the various modules which consist of the proposed indoor navigation system, and finally, some initial evaluations of the proposed system yield promising results.1 aBarri, Eirini1 aBouras, Christos1 aGkamas, Apostolos1 aKatsampiris, Spyridon  uhttp://telematics.upatras.gr/telematics/publications/guideme-system-indoor-orientation-and-guidance-001828nas a2200133   4500008004100000245005800041210005700099520134700156100001801503700002101521700002201542700002601564856010401590       2021                        eng d00aGuideMe: A system for Indoor Orientation and Guidance0 aGuideMe A system for Indoor Orientation and Guidance3 aThe demand for indoor navigational systems is increasing daily. The use of navigational systems is ranging from smart cities and robots to visually impaired people support to navigate safely. The GuideMe Project aims to provide guidance and security for people suffering from blindness, and in the time being it is in the final development stage. This paper presents GuideMe Project goals GuideMe Project architecture and GuideMe final prototype. GuideMe Project architecture consists of the wearable device curried the user has, the anchors with which the wearable device works to determine the position of the user, the smartphone that is informed by the system for the route the user must follow and converts the message into audio information through the user’s headset. The headset in order to guide the user in indoor places and the local server who controls the protocols, and the information are the last parts of the architecture. It is clear that the system is quite complex, it consists of several entities and requires them to work together harmoniously to provide the prescribed functionality, in real-time. All the technologies developed to this final system, each of which has multiple sub-entities as mentioned, handle the required functionality that is the provision orientation of users who are located and moving indoors.1 aBarri, Eirini1 aBouras, Christos1 aGkamas, Apostolos1 aKatsampiris, Spyridon  uhttp://telematics.upatras.gr/telematics/publications/guideme-system-indoor-orientation-and-guidance01550nas a2200133   4500008004100000245009200041210006900133520099900202100001801201700002101219700002401240700002401264856012801288       2021                        eng d00aA Mechanism for Improving the Spectral Efficiency in mu-MIMO for 5G and Beyond Networks0 aMechanism for Improving the Spectral Efficiency in muMIMO for 5G3 aThe ultimate challenge that arises in 6G and 5G and beyond networks is how the mobile networks of the future will be able to cope with the constantly increasing number of devices. In Multiuser Multiple-Input and Multiple-Output (mu-MIMO), the base station basically serves many users at the same time using the same frequency. The topic considered in this paper is the spectral performance in Downlink mu-MIMO. This paper’s goal is to improve the achieved spectral efficiency of the communication system, as well as the achieved reliability of the communication link. An algorithm based on downlink scheduling and the resource allocation is proposed to achieve maximum spectral use of the system. Considering user’s demands, this paper’s mechanism is able to allocate the potential user of the queue to the ”best antenna” based on its demands and distance. That provokes a larger number of devices that can be supported, always according to the specifications stated in IEEE 802.11ax.1 aBarri, Eirini1 aBouras, Christos1 aKokkinos, Vasileios1 aKoukouvela, Aspasia  uhttp://telematics.upatras.gr/telematics/publications/mechanism-improving-spectral-efficiency-mu-mimo-5g-and-beyond-networks02045nas a2200169   4500008004100000245013000041210006900171520132000240100002101560700001801581700002201599700002501621700002401646700002401670700002301694856015801717       2021                        eng d00aA Novel Approach to Energy Management in Large Passenger and Cruise Ships: Integrating Simulation and Machine Learning Models0 aNovel Approach to Energy Management in Large Passenger and Cruis3 aIt has been broadly admitted that the prediction of energy consumption in large passenger and cruise ships is a complex and challenging issue. Aiming to address it, this chapter reports on the development of a novel approach that builds on a sophisticated agent-based simulation model, which takes into account diverse parameters such as the size, type and behavior of the different categories of passengers onboard, the energy consuming facilities and devices of a ship, spatial data concerning the layout of a ship’s decks, and alternative ship operation modes. According to the proposed approach, outputs obtained from multiple simulation runs are then exploited by prominent Machine Learning algorithms to extract meaningful patterns between the composition of passengers and the corresponding energy demands in a ship. In this way, our approach is able to predict alternative energy consumption scenarios and trigger meaningful insights concerning the overall energy management in a ship. Overall, the proposed approach may handle the underlying uncertainty by blending the process centric character of a simulation model and the data-centric character of Machine Learning algorithms. The chapter also describes the overall architecture of the proposed solution, which is based on the microservices approach.1 aBouras, Christos1 aBarri, Eirini1 aGkamas, Apostolos1 aKaracapilidis, Nikos1 aKaradimas, Dimitris1 aKournetas, Georgios1 aPanaretou, Yiannis  uhttp://telematics.upatras.gr/telematics/publications/novel-approach-energy-management-large-passenger-and-cruise-ships-integrating-simulation-and-machine01835nas a2200181   4500008004100000245009600041210006900137300001200206520113500218100001801353700002101371700002201392700002501414700002401439700002401463700002301487856014301510       2020                        eng d00aBlending simulation and Machine Learning models to advance energy management in large ships0 aBlending simulation and Machine Learning models to advance energ  a101-1093 aThe prediction of energy consumption in large passenger and cruise ships is certainly a complex and challenging issue. Towards addressing it, this paper reports on the development of a novel approach that builds on a sophisticated agent-based simulation model, which takes into account diverse parameters such as the size, type and behavior of the different categories of passengers onboard, the energy consuming facilities and devices of a ship, spatial data concerning the layout of a ship’s decks, and alternative ship operation modes. Outputs obtained from multiple simulation runs are then exploited by prominent Machine Learning algorithms to extract meaningful patterns between the composition of passengers and the corresponding energy demands in a ship. In this way, our approach is able to predict alternative energy consumption scenarios and trigger meaningful insights concerning the overall energy management in a ship. Overall, the proposed approach may handle the underlying uncertainty by blending the process-centric character of a simulation model and the data-centric character of Machine Learning algorithms.1 aBarri, Eirini1 aBouras, Christos1 aGkamas, Apostolos1 aKaracapilidis, Nikos1 aKaradimas, Dimitris1 aKournetas, Georgios1 aPanaretou, Yiannis  uhttp://telematics.upatras.gr/telematics/publications/blending-simulation-and-machine-learning-models-advance-energy-management-large-ships01348nas a2200109   4500008004100000245006800041210006800109520091000177100002101087700001801108856011201126       2020                        eng d00aEfficient Mechanism of eNB bandwidth in D2D communication in 5G0 aEfficient Mechanism of eNB bandwidth in D2D communication in 5G3 aThe device to device (D2D)communication will be a big part of 5G and is responsible for the direct communication between users in range without the relay of Base Station (BS). There are three modes that work in D2D communication based on radio resources and how they are used. In D2D the radio resources that are the same with cellular users the mode is named as reuse mode. The other option is to specify an amount of resources only for D2D users and it is called dedicated mode. In this paper will provide how the Users Equipments (UEs) and the D2D communication itself respond in a D2D communication when an eNB serving only in dedicated mode has to change to reuse mode in order to serve more users. Considering two scenarios, reuse and dedicated the mechanism will provide the values of interference and throughput of eNB in each scenario indicating which mode is better under specific circumstances.1 aBouras, Christos1 aBarri, Eirini  uhttp://telematics.upatras.gr/telematics/publications/efficient-mechanism-enb-bandwidth-d2d-communication-5g01654nas a2200157   4500008004100000245006700041210006600108300001000174490000600184520110600190100001801296700002101314700002201335700002601357856011301383       2020                        eng d00aGuideMe: A Complete System for Indoor Orientation and Guidance0 aGuideMe A Complete System for Indoor Orientation and Guidance  a36-530 v13 aThe interest for indoor navigational systems is expanding daily with concerns among visually impaired people who cannot navigate safely indoors. The main goal of such systems is the localization and direction of the individual who has a wearable device that provides voice commands to navigate indoor buildings. This paper aims to present the design and the implementation of the GuideMe project. The GuideMe project’s goal is the design, implementation, and evaluation of a navigation system focused on people who face troubles in indoor moving utilizing a wearable device. Specifically, the focus group is people suffering from visual impairment. The person carrying the wearable device takes guidelines about the location from indoor ultrawide band (UWB) anchors. The commands provided are about indoor direction through voice commands, assisting him to avoid obstacles in his route. The authors present the architecture and the details of the various modules, which consist of the proposed indoor navigation system, and some initial evaluations of the proposed system yielding promising results.1 aBarri, Eirini1 aBouras, Christos1 aGkamas, Apostolos1 aKatsampiris, Spyridon  uhttp://telematics.upatras.gr/telematics/publications/guideme-complete-system-indoor-orientation-and-guidance01911nas a2200157   4500008004100000245007300041210006900114520131600183100002101499700001801520700002201538700002401560700002201584700002601606856012101632       2020                        eng d00aGuideMe: A Networked Application for Indoor Orientation and Guidance0 aGuideMe A Networked Application for Indoor Orientation and Guida3 aToday’s indoor navigational systems are more and more in demand, commonly used for applications such as smart cities, robots and visually impaired people. As far as outdoor navigation is concerned, the Global Positioning System (GPS) technology is still one of the most (if not the most) commonly used approaches. Even though it is still considered an ideal solution for navigating in outdoor areas, challenges and problems arise when GPS is considered for navigation inside buildings due to obstacles (e.g., shopping malls, hospitals, etc.) and because signals cannot be absorbed by the building walls. To tackle the aforementioned issue, other technologies have emerged aimed at indoor navigation, such as Wireless-Fidelity (Wi-Fi), Bluetooth and sensors. This paper’s contribution is towards indoor navigation and, more specifically, it targets designing and developing a tracking and navigation system aimed at people that experience difficulties in indoor orientation using a wearable device. The user takes direction from the wearable device for the indoor orientation through voice commands helping him to avoid obstacles. The central part of the system is a device that provides the ability to navigate and find a route by voice commands, based on the device's location and orientation capabilities.1 aBouras, Christos1 aBarri, Eirini1 aGkamas, Apostolos1 aKoulouri, Christina1 aMichos, Evangelos1 aKatsampiris, Spyridon  uhttp://telematics.upatras.gr/telematics/publications/guideme-networked-application-indoor-orientation-and-guidance-001903nas a2200157   4500008004100000245007300041210006900114520131000183100001801493700002101511700002201532700002401554700002201578700002601600856011901626       2020                        eng d00aGuideMe: A Networked Application for Indoor Orientation and Guidance0 aGuideMe A Networked Application for Indoor Orientation and Guida3 aToday’s indoor navigational systems are more and more in demand, commonly used for applications such as smart cities, robots and visually impaired people. As far as outdoor navigation is consider, the Global Positioning System (GPS) technology is still one of the most (if not the most) commonly used approaches. Even though it is still considered an ideal solution for navigating in outdoor areas, challenges and problems arise when GPS is considered for navigation inside buildings due to obstacles (e.g., shopping malls, hospitals, etc.) and because signals cannot be absorbed by the building walls. To tackle the aforementioned issue, other technologies have emerged aimed at indoor navigation, such as Wireless-Fidelity (Wi-Fi), Bluetooth and sensors. This paper’s contribution is towards indoor navigation and more specifically, it targets at designing and developing a tracking and navigation system aimed at people that experience difficulties in indoor orientation using a wearable device. The user takes direction from the wearable device for the indoor orientation through voice commands helping him to avoid obstacles. The central part of the system is a device that provides the ability to navigate and route by voice commands, based on the device's location and orientation capabilities.1 aBarri, Eirini1 aBouras, Christos1 aGkamas, Apostolos1 aKoulouri, Christina1 aMichos, Evangelos1 aKatsampiris, Spyridon  uhttp://telematics.upatras.gr/telematics/publications/guideme-networked-application-indoor-orientation-and-guidance01753nas a2200145   4500008004100000245010400041210006900145520113500214100001801349700002101367700002201388700002401410700002501434856014801459       2020                        eng d00aA Novel Approach for Handling Diverse Energy Consumption Issues in Large Passenger and Cruise Ships0 aNovel Approach for Handling Diverse Energy Consumption Issues in3 aThe prediction of energy consumption in large passenger and cruise ships is certainly a complex and challenging issue. Towards addressing it, this paper reports on the development of a novel approach that builds on a sophisticated agent-based simulation model, which takes into account diverse parameters such as the size, type and behavior of the different categories of passengers onboard, the energy consuming facilities and devices of a ship, spatial data concerning the layout of a ship’s decks, and alternative ship operation modes. Outputs obtained from multiple simulation runs are then exploited by prominent Machine Learning algorithms to extract meaningful patterns between the composition of passengers and the corresponding energy demands in a ship. In this way, our approach is able to predict alternative energy consumption scenarios and trigger meaningful insights concerning the overall energy management in a ship. Overall, the proposed approach may handle the underlying uncertainty by blending the process-centric character of a simulation model and the data-centric character of Machine Learning algorithms.1 aBarri, Eirini1 aBouras, Christos1 aGkamas, Apostolos1 aKournetas, Georgios1 aKaracapilidis, Nikos  uhttp://telematics.upatras.gr/telematics/publications/novel-approach-handling-diverse-energy-consumption-issues-large-passenger-and-cruise-ships02020nas a2200157   4500008004100000245007800041210006900119520142200188100001801610700002101628700002201649700002401671700002201695700002601717856011901743       2020                        eng d00aText to Speech through Bluetooth for People with Special Needs Navigation0 aText to Speech through Bluetooth for People with Special Needs N3 aAs far as outdoor navigation is considered, the Global Positioning System (GPS) technology is still one of the most (if not the most) commonly used approaches. Even though it is still considered an ideal solution for navigating in outdoor areas, challenges and problems arise when GPS is considered for navigation inside buildings due to the fact that GPS signals cannot penetrate walls/ceilings (e.g., shopping malls, hospitals, etc.) and because signals can be absorbed by the building walls. This paper’s contribution is navigation system that assists people with special needs using an audio guidance system that incorporates input from a voice recognition system. The central part of the system is a device that is able to identify the position and orientation of the person that carries it and provide the ability to navigate and route by voice commands. The suggested voice synthesis system is used, so as to guide the user through obstacles in indoor locations. The information of the precise location and.orientation of the device is made available to the whole system, through the building’s network infrastructure, so that the user’s mobile phone, been connected to the same network and also to the user’s headset through BLE, is able to send audio commands. For the voice commands, Google Cloud Text-ToSpeech (TTS) will be used, supposed that an online connection is active on the user’s device.1 aBarri, Eirini1 aBouras, Christos1 aGkamas, Apostolos1 aKoulouri, Christina1 aMichos, Evangelos1 aKatsampiris, Spyridon  uhttp://telematics.upatras.gr/telematics/publications/text-speech-through-bluetooth-people-special-needs-navigation01435nas a2200169   4500008004100000245011000041210006900151520073500220100001800955700002100973700002200994700002501016700002401041700002401065700002301089856015301112       2020                        eng d00aTowards an informative simulation-based application for energy saving in large passenger and cruise ships0 aTowards an informative simulationbased application for energy sa3 aOver the years, the need to save energy and efficiently manage its consumption becomes increasingly imperative. This paper reports on the development of a novel application for handling diverse energy consumption issues in large passenger and cruise ships. Our overall approach is based on a comprehensive agent-based simulation model, which takes into account spatial data concerning a ship’s decks and position of energy consuming facilities, as well as data concerning the ship’s passengers and their behavior during the operation of the vessel. The proposed application may predict energy consumption for a particular vessel and passenger group and accordingly facilitate informed decision making on energy saving matters.1 aBarri, Eirini1 aBouras, Christos1 aGkamas, Apostolos1 aKaracapilidis, Nikos1 aKaradimas, Dimitris1 aKournetas, Georgios1 aPanaretou, Yiannis  uhttp://telematics.upatras.gr/telematics/publications/towards-informative-simulation-based-application-energy-saving-large-passenger-and-cruise-ships