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- Enhanced UMTS Cellular Planning for Multiple Traffic Classes in Offices ScenariosPublication . Cabral, Orlando Manuel Brito; Velez, Fernando J.; Hadjipollas, George; Stylianou, Marinos; Antoniou, Josephine; Vassiliou, Vasilis; Pitsillides, AndreasIt is shown that enhanced UMTS is an affordable solution for providing the required network quality and to reduce infrastructure investments in offices scenarios. System capacity results are obtained by using a system level simulator which considers traffic characterisation parameters and services usage in detail, among other. Results for the most profitable cell radius are obtained via an optimisation procedure based in economic aspects. A higher number of pico cells (with a smaller radius, around 30-32 m) can be installed in the future, when costs of deploying and maintaining the network decreases, allowing for supporting higher system capacity, and reducing prices. Our approach is based in a detailed services analysis, which represents a worst case situation relatively to the total services approach, because the later does not discriminate results for the different traffic classes. The impact of call blocking, handover failure, end-to-end delay, and delay variation are taken into account.
- Enhanced UMTS Cost/Revenue Optimisation in Offices ScenariosPublication . Cabral, Orlando Manuel Brito; Velez, Fernando José; Hadjipollas, George; Stylianou, Marinos; Antoniou, Josephine; Vassiliou, Vasilis; Pitsillides, AndreasIn this paper Enhanced UMTS offices scenarios and classes of services up to wideband are taken into account. A model is proposed for optimising Enhanced UMTS based in costs and revenues. A system level simulator is used to obtain the blocking probability, and other QoS measures, e.g., handover failure probability and delay. Using these results, one obtains the system capacity, i.e., the supported fraction of active users and throughput for a given grade of service. The profit (in percentage) was obtained, and the optimum (most profitable) cell radius was found. A higher number of pico-cells (with a cell radius around 34 m) will be a profitable solution for the optimisation of network planning. This will also allow for increasing system capacity and reducing prices.
- Enhanced UMTS Simulation-based Planning in Office ScenariosPublication . Cabral, Orlando Manuel Brito; Velez, Fernando José; Hadjipollas, George; Stylianou, Marinos; Antoniou, Josephina; Vassiliou, Vasos; Pitsillides, AndreasEnhanced UMTS traffic characterisation parameters have been addressed for the offices scenario. By using a system level simulator, results concerning QoS measures as packet delay, blocking and handover failure probabilities have been obtained. If the cell radius decreases and the number of BSs increases the blocking probability decreases with a linear trend. One concludes that the supported traffic and the corresponding throughput significantly increase when the cell radius decreases. However, increasing system capacity by decreasing the cell radius causes an increase in the intensity of handovers and a decrease in the throughput per BS. Hence, optimum values for the coverage distance will correspond to higher cell radius. Delay and delay variation are not a limitation.
- Optimisation of Indoor Mobile B3G Systems Based in Economic AspectsPublication . Cabral, Orlando Manuel Brito; Velez, Fernando José; Hadjipollas, George; Stylianou, Marinos; Antoniou, Josephine; Vassiliou, Vasilis; Pitsillides, AndreasSystem capacity results are obtained by using a system level simulator which considers traffic characterisation parameters and services usage, among other, in an offices scenario. Results for the most profitable cell radius are obtained via an optimisation procedure based in economic aspects. A higher number of pico cells (with a smaller radius, around 30-32 m) can be installed in the future when costs of deploying and maintaining the network decreases, allowing for supporting higher system capacity, and reducing prices. The impact of call blocking, handover failure, end-to-end delay, and delay variation are taken into account.