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FM channel model development and its emulator
- Source :
- 2018 26th Signal Processing and Communications Applications Conference (SIU), SIU
- Publication Year :
- 2018
-
Abstract
- With the widespread availability of Internet, voice only broadcast in the FM Band will soon be abandoned as Internet Radio can provide the same content with no boundaries. The available band can then be exploited for bi-directional wireless services. However, before we can realize this transformation, it is crucial to lay down the channel characteristics of the FM Band to better anticipate its affect on new wireless services. As a starting point, in this study we develop a FM Band channel model for dense Hilly Terrain Regions (HTRs) by the concept of directional channel modelling. The proposed model is verified by exploiting existing channel measurements for the bands near the FM Band and simulations via ray tracing by Wireless Insite tool. Finally, a hardware implementation, capable of emulating the different wireless channel clusters for the FM Band, is introduced. The analysis, simulations, and measurements through the emulator show that the FM Band channel model proposed can indeed represent a typical FM Band channel. Thus, the performance of future wireless systems in the FM Band can be better assessed. European Union (EU)--706929 IEEE Huawei Aselsan NETAS IEEE Turkey Section IEEE Signal Processing Society IEEE Communications Society ViSRATEK Adresgezgini Rohde & Schwarz Havelsan
- Subjects :
- Computer science
business.industry
020208 electrical & electronic engineering
Multi-Path Clusters
FM Band
020206 networking & telecommunications
02 engineering and technology
Broadcasting
Directional Channel Modeling
Channel models
Hardware emulation
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
Hardware Emulation
Wireless
The Internet
Internet radio
business
Frequency modulation
Communication channel
Subjects
Details
- ISBN :
- 978-1-5386-1501-0
- ISBNs :
- 9781538615010
- Database :
- OpenAIRE
- Journal :
- 2018 26th Signal Processing and Communications Applications Conference (SIU)
- Accession number :
- edsair.doi.dedup.....580655b70de03bca49dd7f39cb3695c6
- Full Text :
- https://doi.org/10.1109/SIU.2018.8404438