Femtocell Coverage Optimisation Using Statistical Verification

Abstract : Femtocells are small base stations that provide radio coverage for mobile devices in homes or office areas. In this paper, we consider the optimisation of a number of femtocells that provide joint coverage in enterprise environments. In such an environment, femtocells should minimise coverage overlap and coverage holes and ensure a balanced traffic workload among them. We use statistical verification techniques to monitor the probabilistic correctness of a given femtocell configuration at runtime. If there is any violation of the desired level of service, a self-optimisation procedure is triggered to improve the current configuration. Our evaluation results show that, compared with fixed time, interval-based optimisation, our approach achieves better coverage and can detect goal violations quickly with a given level of confidence when they occur frequently. It can also avoid unnecessary self-optimisation cycles, reducing the cost of self-optimisation.
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Jordi Domingo-Pascual; Pietro Manzoni; Sergio Palazzo; Ana Pont; Caterina Scoglio. 10th IFIP Networking Conference (NETWORKING), May 2011, Valencia, Spain. Springer, Lecture Notes in Computer Science, LNCS-6640 (Part I), pp.343-354, 2011, NETWORKING 2011. 〈10.1007/978-3-642-20757-0_27〉
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Tiejun Ma, Peter Pietzuch. Femtocell Coverage Optimisation Using Statistical Verification. Jordi Domingo-Pascual; Pietro Manzoni; Sergio Palazzo; Ana Pont; Caterina Scoglio. 10th IFIP Networking Conference (NETWORKING), May 2011, Valencia, Spain. Springer, Lecture Notes in Computer Science, LNCS-6640 (Part I), pp.343-354, 2011, NETWORKING 2011. 〈10.1007/978-3-642-20757-0_27〉. 〈hal-01583425〉

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