Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Cell outage management in LTE networks
ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
Modelling and planning fixed wireless networks
Wireless Networks
LTE access network planning and optimization: a service-oriented and technology-specific perspective
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Frequency robustness optimization with respect to traffic distribution for LTE system
EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
Interference model and antenna parameters setting effects on 4G-LTE networks coverage
Proceedings of the 7th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Efficient solution of the 3G network planning problem
Computers and Industrial Engineering
Evolving femtocell algorithms with dynamic and stationary training scenarios
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
GUB Covers and Power-Indexed Formulations for Wireless Network Design
Management Science
A comparison of grammatical genetic programming grammars for controlling femtocell network coverage
Genetic Programming and Evolvable Machines
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Deployment and maintenance of UMTS networks involve optimizing a number of network configuration parameters in order to meet various service and performance requirements. In this article we address automated optimization of service coverage and radio base station antenna configuration. We consider three key configuration parameters: transmit power of the common pilot channel (CPICH), antenna tilt, and antenna azimuth. CPICH power greatly influences coverage. From a resource management point of view, satisfying the coverage requirement using minimum CPICH power offers several performance advantages. In particular, less CPICH power leads to less interference and higher system capacity. Optimal CPICH power, in its turn, is highly dependent on how the other two parameters, tilt and azimuth, are configured at radio base station antennas. Optimizing antenna tilt and azimuth network-wise, with the objective of minimizing the CPICH power consumption, is a challenging task. The solution approach in this article adopts automated optimization. Our optimization engine is a simulated annealing algorithm. Staring from an initial configuration, the algorithm searches effectively in the solution space of possible configurations in order to find improvements. The algorithm is computationally efficient; thus, we can optimize large networks without using excessive computing resources. We present a case study for a UMTS planning scenario in Lisbon. For this network, automated optimization saves up to 70 percent of the CPICH power used in the reference network configuration. In addition, the optimized network configuration offers significant performance improvement in terms of fewer overloaded cells and lower downlink load factor