01453nas a2200157   4500008004100000245005300041210005300094520089300147100002401040700002301064700002401087700002201111700002101133700002601154856011501180       2024                        eng d00aDynamic Bandwidth Allocation in MIMO 5G Networks0 aDynamic Bandwidth Allocation in MIMO 5G Networks3 aThe advent of 5G technology has ushered in a new era of wireless communication, characterized by its promise of high data rates, low latency, and enhanced connectivity. In this context, Multiple-Input Multiple-Output (MIMO) systems have emerged as a key enabler, leveraging advanced antenna arrays to simultaneously serve multiple users with increased spectral efficiency. This paper investigates the dynamic resource allocation problem in a MIMO 5G environment, where each user possesses distinct bandwidth requirements. The focus is on optimizing user allocation while considering the limited bandwidth and user capacity of base stations. By harnessing the
power of deep learning techniques, the proposed solution aims to efficiently manage the allocation of users to base station antennas, thereby maximizing overall network performance while accommodating heterogeneous user demands.1 aProdromos, Nikolaos1 aDiasakos, Damianos1 aKokkinos, Vasileios1 aGkamas, Apostolos1 aBouras, Christos1 aPouyioutas, Philippos  uhttp://telematics.upatras.gr/telematics/publications/dynamic-bandwidth-allocation-mimo-5g-networks?language=en02097nas a2200241   4500008004100000245005600041210005400097300001200151520128400163100002101447700002301468700003101491700002401522700002201546700002501568700002501593700001701618700002901635700002801664700002601692700002201718856011501740       2023                        eng d00aA Chatbot Generator for Improved Digital Governance0 aChatbot Generator for Improved Digital Governance  a123-1343 aChatbots, the pioneering conversational artificial intelligence (AI) agents, have experienced remarkable growth and integration in various domains. In modern societies, chatbots have emerged as transformative digital entities, revolutionizing the way humans interact with technology. These conversational AI agents have transcended their initial applications to become integral parts of various industries and daily life. One of the most prominent roles of chatbots is in customer service, where they offer round-the-clock assistance, swift issue resolution, and personalized interactions.By handling routine queries and tasks, chatbots free up human agents to focus on complex and specialized issues, thus optimizing overall efficiency and customer satisfaction. To this end, this paper aims to present and describe the architecture of a novel chatbot generator with improved functionality in terms of quality of communication with end users and level of provided services, with a specialized infrastructure understanding the Greek language. The chatbot generator was developed in the framework of a research project and will
be pilot tested by two end-users, the National Bank of Greece (NBG) and the General Secretariat for Information Systems & Digital Governance (GSIS-DG).1 aBouras, Christos1 aDiasakos, Damianos1 aKatsigiannis, Chrysostomos1 aKokkinos, Vasileios1 aGkamas, Apostolos1 aKaracapilidis, Nikos1 aCharalabidis, Yannis1 aLachana, Zoi1 aAlexopoulos, Charalampos1 aPapadopoulos, Theodoros1 aKaramanolis, Georgios1 aPsalidas, Michail  uhttp://telematics.upatras.gr/telematics/publications/chatbot-generator-improved-digital-governance?language=en01879nas a2200229   4500008004100000245009500041210006900136520100400205100002101209700002301230700003101253700002401284700002201308700002501330700002501355700001701380700002901397700002801426700002601454700002201480856014701502       2023                        eng d00aOn the Development of a Novel Chatbot Generator Architecture: Design and Assessment Issues0 aDevelopment of a Novel Chatbot Generator Architecture Design and3 aChatbots are witnessing remarkable growth in various fields. In modern society, chatbots have evolved into innovative digital entities that have revolutionized the way people interact with technology. These conversational AI agents have gone beyond their initial uses to become an integral part of various industries. One of the most important roles of chatbots is customer service, providing 24/7 support, quick problem resolution, and personalized interactions. Chatbots free up human agents by handling routine queries and tasks, allowing them to focus on complex and specific issues, optimizing the overall efficiency and customer satisfaction. To this end, this paper aims to present the architecture of a novel chatbot generator with improved functionality in terms of quality of communication with end users and level of provided services. In addition, the paper presents the results of two pilot chatbots assessment by users with experience in artificial intelligence and chatbot technology.1 aBouras, Christos1 aDiasakos, Damianos1 aKatsigiannis, Chrysostomos1 aKokkinos, Vasileios1 aGkamas, Apostolos1 aKaracapilidis, Nikos1 aCharalabidis, Yannis1 aLachana, Zoi1 aAlexopoulos, Charalampos1 aPapadopoulos, Theodoros1 aKaramanolis, Georgios1 aPsalidas, Michail  uhttp://telematics.upatras.gr/telematics/publications/development-novel-chatbot-generator-architecture-design-and-assessment-issues?language=en01796nas a2200157   4500008004100000245007300041210006900114520118300183100002101366700002301387700002201410700002401432700002601456700002401482856013201506       2023                        eng d00aEvaluation of User Allocation Techniques in Massive MIMO 5G Networks0 aEvaluation of User Allocation Techniques in Massive MIMO 5G Netw3 aMassive MIMO (Multiple Input Multiple Output) is a fundamental technique for improving the efficiency of 5G wireless networks. At the base station, it calls for the use of numerous antennas—usually in the dozens or even hundreds. In addition to better coverage and less interference, this enables a large increase in the amount of data that can be delivered and received simultaneously. By enabling more precise signal transmission and reception, Massive MIMO can also result in significant energy savings. The use of optimization techniques can further improve the performance of 5G networks. The aim of this paper is to investigate a signal quality optimization technique for MIMO in which users are allocated to antennas according to different algorithms. For our research, the DeepMIMO simulator produced a dataset that sets up all necessary parameters. In our study, we examine different techniques for user allocation in 5G MIMO Networks. We conclude that transforming the problem of user allocation to a linear assignment problem in order to find the most efficient connection between the users and the base stations is one of the best ways to optimize user allocation.1 aBouras, Christos1 aDiasakos, Damianos1 aApostolopoulos, A1 aKokkinos, Vasileios1 aPouyioutas, Philippos1 aPrpdromos, Nikolaos  uhttp://telematics.upatras.gr/telematics/publications/evaluation-user-allocation-techniques-massive-mimo-5g-networks?language=en