01759nas a2200145   4500008004100000245008500041210006900126520116300195100002101358700003201379700002401411700002201435700002601457856013001483       2023                        eng d00aOptimizing Network Performance in 5G Systems with Downlink and Uplink Decoupling0 aOptimizing Network Performance in 5G Systems with Downlink and U3 aThis research paper presents a comprehensive investigation into the optimization of resource allocation in 5G networks through the technique of Downlink and Uplink Decoupling (DUDe). With the growing need for accurate modeling and scenario planning in 5G systems, DUDe allows for the configuration of an additional, lower frequency signal on the uplink to complement the existing uplink signal, rebalancing the uplink/downlink difference at the cell edge and enhancing coverage and network capacity. Drawing on extensive literature and industry trends, this study explores the benefits and challenges of DUDe, considering its impact on network performance, user experience, and future developments. The paper also introduces a simulation-based methodology and experiments to evaluate the  effectiveness of DUDe in improving coverage, capacity, latency, and energy efficiency. The findings contribute to the understanding of DUDe’s potential in optimizing 5G networks, providing valuable insights for researchers and network operators in designing and deploying efficient resource allocation strategies for enhanced network performance in various scenarios.1 aBouras, Christos1 aChatzigeorgiou, Charalampos1 aKokkinos, Vasileios1 aGkamas, Apostolos1 aPouyioutas, Philippos  uhttp://telematics.upatras.gr/telematics/publications/optimizing-network-performance-5g-systems-downlink-and-uplink-decoupling01760nas a2200145   4500008004100000245008900041210006900130520115100199100002101350700003201371700002401403700002201427700002601449856013901475       2023                        eng d00aOptimizing Resource Allocation in 5G Networks through Downlink and Uplink Decoupling0 aOptimizing Resource Allocation in 5G Networks through Downlink a3 aThis research paper sets out to explore the multifaceted and complex topic of decoupling downlink and uplink in 5G networks, with a view to optimizing resource allocation. Drawing on an extensive range of current literature and industry trends, the authors conduct a comprehensive and in-depth analysis of the potential benefits and drawbacks of decoupling, taking into account the impact on network capacity, flexibility, and user experience. Additionally, the article offers valuable insights into the practical implementation of decoupling in real-world 5G networks, including an exploration of the challenges and considerations that may arise, and potential future developments in this field. Through a rigorous and meticulous examination of the topic, the authors aim to provide an understanding of the subject, offering valuable guidance and insights to future researchers and developers working in this area. With a focus on depth and detail, this paper represents a vital contribution to the ongoing dialogue surrounding decoupling in 5G networks and has the potential to drive significant advancements in the
field in the years to come.1 aBouras, Christos1 aChatzigeorgiou, Charalampos1 aKokkinos, Vasileios1 aGkamas, Apostolos1 aPouyioutas, Philippos  uhttp://telematics.upatras.gr/telematics/publications/optimizing-resource-allocation-5g-networks-through-downlink-and-uplink-decoupling01344nas a2200133   4500008004100000245005100041210005000092520086900142100002101011700003201032700002201064700002601086856009801112       2023                        eng d00aTechno-Economic Analysis of IoT Networks in 5G0 aTechnoEconomic Analysis of IoT Networks in 5G3 aThis article evaluates the Techno-economic analysis of IoT networks in 5G. The study analyzed the proposed model for the Internet of Things and the Femtocell in ascertaining the feasibility of the models for the 5G network. The study entirely majors on the analysis of the LoRa WAN network because of its adequate characteristics of low power consumption, easy scalability, and high coverage. It is license-free, which facilitates reduced costs and fast developments. Compared with the expected revenue to be collected during the growth period, the cost elements were Operating Expenditure (OPEX) and Capital Expenditure (CAPEX). The analysis of the results shows that the 5G network is more significant than the 4G LTE because of the lower cost associated with it and the increase in the data transferability that the 5G offers, and the increased number of users.1 aBouras, Christos1 aChatzigeorgiou, Charalampos1 aKollia, Anastasia1 aPouyioutas, Philippos  uhttp://telematics.upatras.gr/telematics/publications/techno-economic-analysis-iot-networks-5g01660nas a2200133   4500008004100000245011400041210006900155520104600224100002101270700003201291700002201323700002601345856015501371       2022                        eng d00aTechno-economic analysis of Cloud Computing supported by 5G: A Cloud vs On Premise based solutions comparison0 aTechnoeconomic analysis of Cloud Computing supported by 5G A Clo3 aCloud computing has gotten a lot of press in the IT world because it allows users to have instant access to a shared pool of configurable computer resources with no effort on their part. It is now being discussed as an enabler for more flexible, cost-effective, and powerful mobile network implementations in the communication technology (CT) sector.In this paper, a techno-economic analysis of a Cloud-based solution compared to an On-premise based one is developed. The technologies are analyzed in a technical way. Mathematical models that help determine the models’ pricing is analyzed. What is more, several experiments are conducted determining if the advantages and profits outweigh the disadvantages of each proposed solution. Also, the way 5G helps scale all these processes is analyzed. Finally, this article analyzes the conclusions of the work, as well as the result of the techno-economic study that was carried out, to explain to the reader the overall benefits provided to users by exploiting the Cloud Computing technology.1 aBouras, Christos1 aChatzigeorgiou, Charalampos1 aKollia, Anastasia1 aPouyioutas, Philippos  uhttp://telematics.upatras.gr/telematics/publications/techno-economic-analysis-cloud-computing-supported-5g-cloud-vs-premise-based-solutions-comparison