Northern Telecom Limited

Nortel Networks Corporation

Seshu R Madhavapeddy

Sairam Subramanian

Nikhil Jain

Hee C Lee

Payam Maveddat

Chang Yu

Wei Yuan

Andrew Sendonaris

Stone H Tseng

Venugopal Veeravalli

Mohamed A Landolsi

Alexander John Montoya

Surnjani Djoko

Sheng-Chou Lin

Falguni Sarkar

Steven J Currin

Provided herein is a computer-implemented method for generating an optimized cellular-network cell-site plan for an area. A plurality of cellular-traffic demand nodes distributed across the area is provided. Each cellular-traffic demand node of the plurality of cellular-traffic demand nodes has an associated weighting characteristics set. The plurality of nodes are consolidated into a plurality of centroids. Each centroid represents a number of nodes that come within a traffic threshold. A potential cell site is positioned on each of the centroids. Each potential cell site has an associated base-transmitter-station parameter characteristics set. The demand node coverage of each potential cell site is determined with respect to a signal strength of the potential cell site. From the plurality of potential cell sites a minimized cell-site subset is selected while maintaining sufficient cellular service coverage of the plurality of demand nodes.

Method for optimizing cell-site placement

A data processing system implements a load balancing methodology which recognizes the effects that multiple, mobile subscribers have within a wireless communications network. During execution of this load balancing methodology, a rehoming operation is executed at a telephone central office to move some subscribers in a network to a new home mobile switching center with a minimum number of rehoming steps. To perform this rehoming operation, a mobile switching center in a network which has a highest load is selected first. Mobile switching centers which have a load lower than a network average load are considered to be candidates for a rehome destination. All subscriber groups homed to the highest loaded mobile switching center are evaluated to determine whether or not a rehoming operation using this subscriber group would provide a highest benefit and give a lowest standard deviation of loads among mobile switching centers after the rehome operation is selected. This operation is iterative and searches for the best directory number to be homed in each candidate mobile switching center. A resulting balanced load of network resources will serve to increase the effectiveness and longevity of a current wireless communications network before additional equipment is required.

Data processing system and method for balancing a load in a

A method for reducing the paging load in a cellular communication system is described. The cell C with the largest paging load L is first identified. Since this cell is usually included in more than one paging zone, the paging zones including cell C are identified. Thereafter, cell C is removed tentatively from each identified zone and a ratio R calculated which represents the decrease in loading on cell C due to being removed from zone z divided by the maximum increase in loading on any other cell in the network. The zone for which the ratio R is the largest is the best candidate for removing cell C therefrom. After doing so tentatively, the cell C' with the largest paging load L' thereon is identified. If the loading L is greater than L', cell C is removed permanently from the zone having the highest ratio R therefor and the process is repeated until L' is greater than L at which point the process is stopped without removing cell C from the zone with the highest ratio R.

Method for reducing paging load in a cellular communication system

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Richardson, TX, United States of America

Seshu R Madhavapeddy