Placing Base Stations in Wireless Indoor Communication Networks
IEEE Intelligent Systems
Optimal Placement of Base Stations in Wireless Indoor Telecommunication
CP '98 Proceedings of the 4th International Conference on Principles and Practice of Constraint Programming
Wireless network design: a space-filling curve approach
International Journal of Mobile Network Design and Innovation
Wireless LAN planning: a didactical model to optimise the cost and effective payback
International Journal of Mobile Network Design and Innovation
Mono- and multiobjective formulations for the indoor wireless LAN planning problem
Computers and Operations Research
Placement of access points in wireless local area networks
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Optimizing cell size in pico-cell networks
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Indoor access point optimization using differential evolution
Proceedings of the Second Kuwait Conference on e-Services and e-Systems
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In this paper, we address the problem of optimizing the spectral efficiency of cellular indoor wireless networks by adjusting the location and power of the base-stations. Focusing on the downlink, we derive general network access criteria for mobiles on the indoor floor for systems that employ omnidirectional antennas and adaptive antennas arrays at the base-stations, in order to show and explain the advantages of the use of spatial diversity. Multiple access capability measures that depend only on energy are defined for both schemes. They are then used as the cost function for the solution to the optimal base-station placement problem, for a single-frequency system. Both continuous and combinatorial approaches have been applied to the solution of the optimization problem, and near-optimal solutions have been obtained. We show that the use of adaptive arrays yields greater capacity when increased cell-area overlap is allowed. The optimization methods, channel prediction methods, and a graphic user interface are parts of an integrated software environment that we developed in support of our investigation and which is described