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The deployment of wireless networks needs to consider both the cost and the system performance metrics. The design objective is to decide the optimal placement of access points (or base stations) and to assign the available radio resources to the traffic demand points with guaranteed performance, while keeping the deployment cost at its minimum. A platform to look into the deployment of wireless networks is set up to optimize the profit generated over multiple periods each with different projected spatial traffic demands. Algorithms for various multi-periods optimization scenarios are also…mehr

Produktbeschreibung
The deployment of wireless networks needs to consider both the cost and the system performance metrics. The design objective is to decide the optimal placement of access points (or base stations) and to assign the available radio resources to the traffic demand points with guaranteed performance, while keeping the deployment cost at its minimum. A platform to look into the deployment of wireless networks is set up to optimize the profit generated over multiple periods each with different projected spatial traffic demands. Algorithms for various multi-periods optimization scenarios are also proposed. With the knowledge on the projected demand traffic in subsequent periods, algorithms to maximize the long term profit are also developed for the case when the projected traffic is either probabilistic or deterministic.
Autorenporträt
QI MING WU, Master of Engineering: Studied Electrical Engineering in National University of Singapore, Senior Engineer, Lantiq Asia Pacific Ltd, Singapore YONG HUAT CHEW, Ph.D: Senior Scientist, Institute for Infocomm Research, Adjunct Associate Professor, NUS, Singapore BOON SAIN YEO, Ph.D: R & D director, Trilogy Technologies, Singapore