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SINR analysis of OFDM and f-OFDM for machine type communications
- Source :
- PIMRC, e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid, instname
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- Proceeding of: 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Valencia, 4-8 septiembre, 2016. Machine type communications (MTC) have been growing significantly in recent years and this tendency is foreseen to be kept in the near future playing an increasingly important role in the industry. The signals used for MTC will coexist with the current and next generation cellular systems. Therefore it is of interest to study how they can perform jointly and the viability of coexistence of signals from both systems. We focus in one of the new waveforms being discussed for 5G, namely on filtered-OFDM (f-OFDM), along with traditional OFDM. The interference is analysed for both types of signals and the expression of the SINR is found allowing us to compare the behavior of OFDM and f-OFDM in these circumstances. Some simulations are shown to validate the theoretical analysis and explore some foreseen MTC scenarios. This work has been partly funded by projects MACHINE (TSI-100102-2015-17) and ELISA (TEC2014-59255-C3-3-R).
- Subjects :
- Telecomunicaciones
Signal to noise ratio
Computer science
Orthogonal frequency-division multiplexing
Land mobile radio
020206 networking & telecommunications
020302 automobile design & engineering
02 engineering and technology
Type (model theory)
Expression (mathematics)
0203 mechanical engineering
Interference (communication)
Nickel
5G mobile communication
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
Frequency-domain analysis
Interference
5G
Simulation
OFDM
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- PIMRC, e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid, instname
- Accession number :
- edsair.doi.dedup.....2346ccc69586872f483303dc592c0713