Verifying Continuous Time Markov Chains
CAV '96 Proceedings of the 8th International Conference on Computer Aided Verification
RT-MaC: Runtime Monitoring and Checking of Quantitative and Probabilistic Properties
RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Statistical probabilistic model checking with a focus on time-bounded properties
Information and Computation
An overview of the femtocell concept
Bell Labs Technical Journal - Next-Generation Wireline Access Networks
UMTS femtocell performance in massive deployments: Capacity and GoS implications
Bell Labs Technical Journal - Core and Wireless Networks
Adaptive coverage adjustment for femtocell management in a residential scenario
APNOMS'09 Proceedings of the 12th Asia-Pacific network operations and management conference on Management enabling the future internet for changing business and new computing services
Femtocell coverage optimization using switched multi-element antennas
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
On statistical model checking of stochastic systems
CAV'05 Proceedings of the 17th international conference on Computer Aided Verification
IEEE Communications Magazine
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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.