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Antenna design & Channel modeling for H-Speed wireless communication
Details
The main focus of this research is on the design and analysis of UWB and mmWave antennas and a joint antenna-and-environment aware channel modeling for developing reliable high-speed short-range wireless communications at 60 GHz (V-Band). To help ensuring the link and systems quality at 60 GHz the proposal adopts a joint approach to antenna design and channel modeling. This joint methodology enables more accurate and representative channel models which are then utilized to evaluate the performance achieved by using the developed antennas and, when necessary, fine tune the antenna design in an iterative manner. The proposal also adopts a different approach to channel modeling that goes beyond the current environment-specific efforts and employs an environment-and-antenna-family-specific approach (EAFSCM) that classify "families" of antenna characteristics and devise appropriate channel modes for them for each environment category. The outcomes of this research serves a wide range of applications in the personal, medical, security and traffic control sectors. Furthermore, the project outcomes help us to anticipate future needs in telecommunications.
Autorentext
Hamza Kaouach (M'10, SM'14) received the M.S. degree in High Frequency Communications Systems from the University of Paris-Est Marne-la-Vallée, France, in 2006 and the Ph.D. in Signal Processing and Telecommunications from the University of Rennes 1, France, in 2009. His Ph.D. studies were partially financed by French Government Space Agency.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783330002494
- Genre Electrical Engineering
- Sprache Englisch
- Anzahl Seiten 172
- Herausgeber LAP LAMBERT Academic Publishing
- Größe H220mm x B150mm x T11mm
- Jahr 2017
- EAN 9783330002494
- Format Kartonierter Einband
- ISBN 3330002492
- Veröffentlichung 25.04.2017
- Titel Antenna design & Channel modeling for H-Speed wireless communication
- Autor Hamza Kaouach , Amar Kabashi , Mohammed Talal Simsim
- Gewicht 274g