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Method of Location Resource Management and Estimate Reliability Determination

IP.com Disclosure Number: IPCOM000004603D
Original Publication Date: 2001-Feb-28
Included in the Prior Art Database: 2001-Feb-28
Document File: 3 page(s) / 30K

Publishing Venue

Motorola

Related People

Stan Benes: AUTHOR [+3]

Abstract

This paper describes the function of a new application, the Location Resource Manager, which will have capability to examine the loading condition of both the radio channel and location server. When either of these resources transition into a pre-determined "loaded" state, the Location Resource Manager can override the normal location determination flow to relieve the over-taxed resource.

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Method of Location Resource Management and Estimate Reliability Determination

Stan Benes, Gerry Gutowski, Larry Downing

Abstract

This paper describes the function of a new application, the Location Resource Manager, which will have capability to examine the loading condition of both the radio channel and location server. When either of these resources transition into a pre-determined "loaded" state, the Location Resource Manager can override the normal location determination flow to relieve the over-taxed resource.

Introduction

There are multiple location technologies that can be used to determine the position of a mobile unit. Each of these technologies requires specific resources to form a location fix. Some low-tier techniques can utilize relatively small amounts of data and require few processing resources, but produce a fix with greater potential error. High-tier techniques require a larger amount of data and more processor resources, but will result in a fix with a lower error probability. The trade off between low and high-tier methods is typically the time in processing, message traffic required, and location server resources versus the accuracy of the location fix.

When a location server begins to reach the maximum number of sustainable sessions, the possibility of server congestion arises. Server congestion may occur when many high-tier location requests are requested, each of which require significant processing resources. Additionally, channel capacity may be affected by the messaging and data delivery traffic created by the location process; with high-tier methods requiring more messaging traffic (radio channel congestion). Intelligent selection between different location methods with consideration to current server loading and channel capacity can alleviate some of the loading or reduce radio channel utilization.

Finally, there has been no/minimal application of confidence or reliability weights at the Public Service Access Point (PSAP) level or end user- based location requesting application. An interface between the location system and a map database would allow the system to assign a "reliability" code expected from the location fix generated. The reliability code could be based on the terrain/clutter environment and/or quality estimate (e.g., Dilution of Precision (xDOP) values) derived from the fix computation, as taught in literature via Weighted Least Squares (WLS) computation and similar techniques. A second factor in determining the "reliability" code could be the location technologies (or combination thereof) used to determine the fix.

Description of the Method

In this invention, a Location Resource Manager Algorithm (LRMA) is defined to provide two functional procedures. First, LRMA possesses intelligence which: examines the location server utilization, checks the state of the channel condition (thresholding of the site to met Qu...