A scalable hidden-Markov model algorithm for location-based services in WiMAX networks
MetadataShow full item record
Hidden-Markov Models (HMM) have shown promise as viable solutions to providing location- based services (LBS) within cellular networks. Previously established work includes a scheme to merge the stochastic contribution of the HMM and maximum likelihood decisions based on signal strength measurements and timing adjust parameters. A novel scalable positioning algorithm that utilizes the aforementioned techniques along with reorientation of the state vector in order to favor the local measurements within the area of interest is proposed in this paper. The resulting scheme is presented and its performance validated through simulations built from a scenario based on a real world WiMAX network. The results demonstrate improved performance over previous work, and the effect of scaling the algorithm is discussed.
The article of record as published may be found at http://doi.org/10.1109/HICSS.2014.627
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Showing items related by title, author, creator and subject.
Rhoden, Christopher A. (Monterey, California. Naval Postgraduate School, 1994-06);The Simplex algorithm, developed by George B. Dantzig in 1947 represents a quantum leap in the ability of applied scientists to solve complicated linear optimization problems. Subsequently, its utility in solving finite ...
Huang, Jo-Wen (Monterey, California: Naval Postgraduate School, 2017-06);With the development and advancement in the technology of control and multi-robot systems, robot agents are likely to take over mine countermeasure (MCM) missions one day. The path planning coverage algorithm is an essential ...
Tan, Ko-Cheng (Monterey, California. Naval Postgraduate School, 1996-06);Motion planning and control of a Nomad 200 mobile robot are studied in this thesis. The objective is to develop a motion planning and control algorithm that is able to move the robot from an initial configuration (position ...