D
David Munoz-Rodriguez
Researcher at Monterrey Institute of Technology and Higher Education
Publications - 60
Citations - 817
David Munoz-Rodriguez is an academic researcher from Monterrey Institute of Technology and Higher Education. The author has contributed to research in topics: Handover & Wireless sensor network. The author has an hindex of 13, co-authored 58 publications receiving 711 citations. Previous affiliations of David Munoz-Rodriguez include University of Essex & CINVESTAV.
Papers
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Journal ArticleDOI
Evolution of Indoor Positioning Technologies: A Survey
Ramón F. Brena,Juan-Pablo García-Vázquez,Carlos E. Galván-Tejada,David Munoz-Rodriguez,Cesar Vargas-Rosales,James Fangmeyer +5 more
TL;DR: A technological perspective of indoor positioning systems, comprising a wide range of technologies and approaches is provided, and the existing approaches are classified in a structure in order to guide the review and discussion of the different approaches.
Journal ArticleDOI
Handoff algorithms based on fuzzy classifiers
TL;DR: Fuzzy classifier schemes are proposed in this paper in order to select the base stations that will best serve mobiles in a typical cellular system through digital simulation and show better cell definition than the conventional handoff approach.
Proceedings ArticleDOI
Pattern recognition techniques in handoff and service area determination
TL;DR: The Isodata clustering algorithm and fuzzy classifiers based on membership functions are used to process the field strength intensities in order to select the base station which will serve the call.
Journal ArticleDOI
Chaotic sequences for multiple access
TL;DR: In this article, the use of chaotic signals as generators of binary and multilevel sequences suitable for code division multiple access (CDMA) was proposed, and the number of obtained sequences was found to be greater than the number for m-sequences of the same length.
Proceedings ArticleDOI
Channel assignment in cellular systems using genetic algorithms
TL;DR: The general purpose simple genetic algorithm as well as a hybrid genetic algorithm are proved to cope with a variety of channel demands in different cellular system scenarios.