Abstract: The mobility of mobile subscribers within a wireless digital communications system is estimated based on highway maps and traffic data. Cells within the network are modelled as nodes connected by edges where neighboring cells are connected by roads. Each edge has two edge weight components representing traffic flow from one cell to the other and vice versa. The edge weight components are calculated from terrain factors based on the size or capacity of the roads connecting the two cells and the total traffic within the subject cell, which information may be obtained from commercial geographic databases and/or government agencies. The resulting edge weight represents an expected number of handoffs between the two cells. The problem of partitioning cells among available switches within the network is thus reduced to the purely mathematical problem of minimizing the total edge weights of edges intersected by the partition boundaries.

Abstract: A method for distributing paging load in a multicell wireless communication system establishes a plurality of location areas, with each location area including at least one cell. A load limit is based upon the greatest number of pages that may be transmitted in a particular cell over a given time period for cells of the multicell wireless communication system is determined. A paging load for the cellular wireless communication system is determined based upon historical loading and/or simulations and projections. A plurality of location areas are determined so that the paging load is distributed among the plurality of location areas such that a partial paging load respective to each cell of the multicell wireless communication system is less than a respective load limit. Boundaries of the location areas are then chosen to substantially minimize registration load within the multicell wireless communication system.

Abstract: 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.

Abstract: A self engineering system includes a data acquisition module, a self engineering engine, and a control module. The data acquisition module couples to the communication system and receives current operating data of the communication system. The self engineering engine receives the current operating data and determines new operating parameters of the communication system based upon the current operating data and current operating parameters. The control module implements the new operating parameters within the communication system. The self engineering system may include an expert system that receives the current operating data and, based upon the current operating data and the current operating parameters of the communication system, produces the new operating parameters. The expert system includes a fact library, a knowledge base and an inference engine. The fact library includes configuration data, historical operating data, the current operating parameters and proposed operating parameters.

Abstract: 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.

Abstract: The foregoing objects are achieved as is now described. Provided are a method and system for utilization with wireless communications systems having a cellular architecture covering a geographic area. The method and system accomplish their objects via the following. The geographic area is defined. One or more pairs of the sectors within the defined geographic area wherein a weak connection zone exists are determined. The geographic area is decomposed into two or more sub-areas wherein each sub-area is isolated from other sub-areas by the determined one or more pairs of sectors having a weak connection zone. A first of the sub-areas is selected. Frequency groups are assigned to each sector within the first selected sub-area such that signal to noise ratio is optimized. Thereafter, a second of the sub-areas is selected. One or more sectors within the second selected one of the sub-areas which are linked to sectors within the first selected sub-area are selected.

Abstract: 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.

Abstract: Various operational measurements of a network element are determined in real time. These measurements are used to determine the call carrying capacity of the elements and the reaction of the network element to various call loads. Models of the network elements are generated from the operational measurements. Using an element's model, the network's reaction to various changes in a particular element can be determined without complex and expensive engineering work.