Probabilistic location prediction for a mobile station

Telecommunications – Radiotelephone system – Zoned or cellular telephone system

Reexamination Certificate

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Details

C455S067110, C455S456100, C455S041200, C370S328000, C342S457000

Reexamination Certificate

active

07962156

ABSTRACT:
A probabilistic prediction is made of the location of a wireless-enabled mobile station in a wireless local area network. The prediction includes calculating a vector representing movement of the mobile station through a space in which two or more access points of the network are located, and determining a region surrounding the vector in which the mobile station has at least a given probability to be located within a certain period of time.

REFERENCES:
patent: 4533918 (1985-08-01), Virnot
patent: 5758313 (1998-05-01), Shah et al.
patent: 5802492 (1998-09-01), DeLorme et al.
patent: 5844522 (1998-12-01), Sheffer et al.
patent: 6052598 (2000-04-01), Rudrapatna et al.
patent: 6236365 (2001-05-01), LeBlanc et al.
patent: 6256506 (2001-07-01), Alexander, Jr. et al.
patent: 6259924 (2001-07-01), Alexander et al.
patent: 6263208 (2001-07-01), Chang et al.
patent: 6385454 (2002-05-01), Bahl et al.
patent: 6728545 (2004-04-01), Belcea
patent: 6889053 (2005-05-01), Chang et al.
patent: 6993337 (2006-01-01), Rudrapatna et al.
patent: 7002943 (2006-02-01), Bhagwat et al.
patent: 7046647 (2006-05-01), Oba et al.
patent: 7054296 (2006-05-01), Sorrells et al.
patent: 7103370 (2006-09-01), Creemer
patent: 7116988 (2006-10-01), Dietrich et al.
patent: 7196662 (2007-03-01), Misikangas et al.
patent: 7271765 (2007-09-01), Stilp et al.
patent: 7295119 (2007-11-01), Rappaport et al.
patent: 7312752 (2007-12-01), Smith et al.
patent: 7319877 (2008-01-01), Krumm et al.
patent: 7340259 (2008-03-01), Maloney et al.
patent: 7653400 (2010-01-01), Robertson et al.
patent: 7714778 (2010-05-01), Dupray
patent: 7764231 (2010-07-01), Karr et al.
patent: 2003/0065712 (2003-04-01), Cheung et al.
patent: 2003/0134648 (2003-07-01), Reed et al.
patent: 2003/0224799 (2003-12-01), Squibbs et al.
patent: 2004/0166864 (2004-08-01), Hill et al.
patent: 2004/0263388 (2004-12-01), Krumm et al.
patent: 2005/0020278 (2005-01-01), Krumm et al.
patent: 2005/0144318 (2005-06-01), Chang
patent: 2005/0208952 (2005-09-01), Dietrich et al.
patent: 2005/0258957 (2005-11-01), Krumm et al.
patent: 1302783 (2003-04-01), None
Francois, Jean-Mark, “Learning Movement Patterns in Mobile Networks: a Generic Method”, 2004.
Hye-Soo, Kim, “Selective Channel Scanning for Fast Handoff in Wireless LAN using Neighbor Graph”, 2004.
Lavin, David A., “Shadow Cluster Concept for Resource Allocation and Call Admission in ATM-Based Wireless Networks”, 1995.
Liu, Tong, “Mobility Modeling, Location Tracking, and Trajectory Prediction in Wireless ATM Networks”, Aug. 1998.
Mishra, Arunesh, “Context Caching using Neighbor Graphs for Fast Hands off in a Wireless Network”, 2004.
Pack, S., “Fast Handoff Scheme Based on Mobility Prediction in Public Wireless LAN Systems”, Oct. 2004.
Pathirana, Pubudu N., “Mobility Modelling and Trajectory Prediction for Cellular Networks with Mobile Base Stations”, 2003.
Rabe, M, Examination Report for EP 05105773.5-2412, Apr. 5, 2006.
Rabe, M, “EESR”, Extended European Search Report for EP 05105773.5, Dec. 1, 2005.
Rampuria, Sharad K., Fifth Office Action for U.S. Appl. No. 11/167,146, filed Jan. 2, 2009.
Yavas, Gokhan, “A Data Mining Approach for Location Prediction in Mobile Environments”, May 2004.

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