Techno-Economic Analysis of Wireless Indoor Solutions

Sammanfattning: Introduction of mobile broadband technology added valuable service for mobile users to surf faster internet on mobile. This impacts the traffic demand requirements, traffic demand increased for network to fulfill the requirements. Higher data rates depend on strong signal from base station and capacity of the network. Mostly people are located inside the building for surfing internet. Traditional macro base stations are not sufficient to deal with data users for indoor users because presence of strong attenuations inside the building resists signal from macro base stations. As a consequence wireless indoor solutions are introduce to provides coverage and capacity requirements inside building. Femtocell, Picocell, WLAN and Distributed Antenna Systems (DAS) are common indoor solutions to provide coverage and capacity requirements. In this thesis techno-economic and analysis was carried out to explore the performance, cost of indoor solutions. The aim is to estimate the cost economical wireless indoor solution and to identify which indoor solution is suited in which scenario which helps in radio indoor planning and selection of indoor solution. For the capacity requirements four radio access technologies UMTS, HSDPA, LTE and 802.11 with different spectral efficiency levels are considered as an input for indoor solutions. Single wireless indoor network is enough to deploy in a building to provide coverage and capacity requirements. Users from different market actors are located inside the building. It is not efficient way to deploy multiple indoor networks in a single building. Analysis revealed that the Femtocell is cost-economical and flexible solution that capable of handle variations in traffic demand and stable system, it is proposed as a long term wireless solutions. Moreover from analysis Femtocells cost distribution is almost same in all radio access technologies this makes it perfect solution for all systems. Picocell and DAS solutions are mostly affected by the traffic demands and spectral efficiency. Increase in spectral efficiency tends to decrease the network cost of Picocell and DAS. From analysis WLAN found stable system capable of providing uniform cost distribution for low and high level demands scenarios and different level of spectral efficiency.