Browsing by Author "Wichman, Risto, Prof., Aalto university, Department of Information and Communications Engineering, Finland"
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Item Planning of Wireless Networks for 5G/6G Applications(Aalto University, 2024) Abedi, Mohsen; Dowhuszko, Alexis Alfredo, Dr., Aalto university, Department of Information and Communications Engineering, Finland; Informaatio- ja tietoliikennetekniikan laitos; Department of Information and Communications Engineering; Risto Wichman Group; Sähkötekniikan korkeakoulu; School of Electrical Engineering; Wichman, Risto, Prof., Aalto university, Department of Information and Communications Engineering, FinlandThe rise of 6G will allow wireless communication networks to achieve unprecedented levels of connectivity, capacity, and coverage. As part of 6G, higher frequency bands such as mmWaves, Terahertz, and visible light can be utilized to provide larger capacity than sub-6 GHz b ands currently used in 4G/5G. However, as frequencies increase, the signal range and obstructions may limit the signal's coverage, creating a significant challenge when it comes to ensuring seamless coverage. Wireless network planning aims to determine the minimum number of wireless access points and their locations in the service areas. Planning is key to achieving seamless coverage, optimizing bandwidth utilization, reducing energy consumption, and ensuring sufficient quality of services. Planning is an NP-hard problem that requires an exhaustive search in order to reach the optimal solution. Due to the large dimensions, parameters, and diverse requirements of networks, it isimpossible to conduct an exhaustive search for network planning. It can, however, be made feasible by developing mathematical tools and optimization models. The purpose of this dissertation is to examine the issue of wireless network planning in light of the different wireless network requirements. Based on Voronoi diagrams and Delaunay triangulation, a regularity algorithm is proposed for planning wireless cellular networks that maximize coverage and balance cell loads outdoors. In addition, we propose a graph that models the indoor areas taking into account the propagation limits imposed by signals at higher frequencies. We then demonstrate that the deployment of access points for seamless Line-of-Sight coverage of indoor areas can be achieved by partitioning this graph into cliques, each representing a wireless access point. As a final step, we use this graph modeling to analyze network requirements to ensure that access points are deployed in a fashion that meets various operational requirements, for example, Line-of-Sight backhauling between access points and multiple Line-of-Sight coverage for positioning.