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We have a unique understanding of the complexity of Radio Access Planning and systems integration optimization tools for Wi-Fi, UMTS/HSPA, TD-SCDMA and WiMAX. We focus on resolving the key issues facing our customers and offer a comprehensive service from initial concept of Automatic Cell Planning (algorithms and tools) for Wi-Fi, UMTS/HSPA, TD-SCDMA and WiMAX to implementation, delivery and upgrade.
Our engineers have a wealth of knowledge and experience in Radio channel modeling; Our aim is for Ranplan to become a world leader in 3G/4G RAN planning and optimisation in cost, and performance specifications.
HSPA Planning and Optimisation Framework
Our system integration service is to develop a framework describing and linking the key elements involved in HSPA P&O. There are a number of subtasks to be carried out. Firstly, Automated HSPA planning requires identification of key performance indicators (KPIs), such as infrastructure cost, performance, service quality and the amount of radio wave pollution. Secondly, suitable cost functions for HSPA P&O will be identified. Thirdly, relevant planning parameters will be identified and analysed, and reference planning scenarios will be developed. Next, relations as well as trade-offs between HSPA performance and co-existing of voice and HSPA for packet data service are studied. Finally, we will develop a strategy to decompose the overall planning problem into sub problems and at the same time deal with the interactions between them. Decomposition strategies will be investigated along two dimensions. One is the grouping of planning parameters according to time scale (long term, mid-term, and short term), and the second is scenario analysis allowing for planning based on service type.
Optimisation Algorithms and Simulation Platform for HSPA Planning
Based on the HSPA P&O framework, the objective of OASP is to develop optimisation models and algorithms. In parallel, a simulation platform for HSPA planning and performance evaluation will be developed.
HSPA optimisation models and algorithm
The service for Optimisation Algorithms and Simulation Platform for HSPA Planning is to develop solution-oriented models to obtain a high-level HSPA network design, adopting a multi-objective optimisation approach to address objective functions representing cost, service quality, and radio wave pollution. This area can be further decomposed into the development of linear integer models for HSPA cell planning using measurement- and predication-based data as input, followed by the study and implementation of integer programming solution methods. For detailed HSPA planning, we will focus on heuristic algorithms in order to achieve high scalability. The project will investigate the application of local search, simulated annealing, tabu search, and/or genetic algorithms. A large-scale neighbourhood search, a recently developed methodology, will be studied to enhance algorithm effectiveness.
HSPA simulation platform
Ranplan is developing a simulation platform for HSPA P&O. Existing simulation approaches will be examined and reviewed in the development of the platform. Based on the review, Ranplan will extend its current UMTS simulator to HSPA networks. The simulation platform will integrate Monte Carlo simulation (MCS) and dynamic simulation. The former is used to assess the overall performance of HSPA design solutions, whereas the latter allows very detailed study of HSPA performance under realistic conditions and user mobility.
Integration and HSPA Planning Toolkit
Integration and HSPA Planning Toolkit involves the development of an HSPA P&O toolkit based on the R&D achievements of Planning and Optimisation Framework. The service is to investigate approaches to integrate simulation with the optimisation models and algorithms. An interface for the interactions between the optimisation methods, Monte Carlo simulation (MCS), and dynamic simulation will be defined and implemented. Extensive experiments of applying optimization and simulation will be conducted, analysed, and evaluated. For each planning scenario, solution-oriented modelling and optimization will be applied first to find a good high-level design. Heuristic algorithms will then be used to produce detailed plans evaluated by MCS and dynamic simulation. Strategies for automated performance tuning, in which simulation provides feedback to the optimisation algorithms, and thereby enhance the performance of the latter, will be studied and developed. Moreover, as running optimisation algorithms and dynamic simulation are both CPU- and memory intensive, approaches based on advanced computing technologies, in particular parallel computing and Grid computing, will be studied to accelerate the optimisation and simulation processes. Finally, the integrated planning methodology using solution-oriented models, algorithms and the simulation processes will be implemented into an HSPA planning toolkit by Ranplan, and embedded into Ranplan’s wireless network planning tool.
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