EXIT chart optimization of Turbo-FSK: Application to Low Power Wide Area networks
- Resource Type
- Authors
- Laurent Ros; Jean-Baptiste Dore; Yoann Roth; Vincent Berg
- Source
- 2016 9th International Symposium on Turbo Codes and Iterative Information Processing (ISTC)
9th International Symposium on Turbo Codes & Iterative Information Processing
9th International Symposium on Turbo Codes & Iterative Information Processing, Sep 2016, Brest, France. pp.46-50, ⟨10.1109/ISTC.2016.7593074⟩
ISTC
- Subject
- Computer science
Turbo
Low Power Wide Area
Machine
Real-time computing
Internet of Things
Data_CODINGANDINFORMATIONTHEORY
02 engineering and technology
EXIT chart
01 natural sciences
Machine-to
EXIT Chart
FSK
Link budget
Chart
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
Turbo code
Frequency-shift keying
LPWA
biology
PHY-layer
010401 analytical chemistry
020206 networking & telecommunications
Turbo Code
biology.organism_classification
Low Rate
0104 chemical sciences
Low SNR
Convolutional code
Bit error rate
- Language
- English
International audience; Low Power Wide Area (LPWA) networks aim at connecting low cost devices with high constraints on the link budget. Focusing on the physical layer, the combination of Frequency Shift Keying (FSK) modulation and coding in the same process has been shown efficient when associated to a turbo receiver. This paper considers the optimization of Turbo-FSK parameters for the LPWA context using the EXtrinsic Information Transfer (EXIT) Chart analysis. After adapting the metric to the FSK waveforms, EXIT chart performance results are extended and compared to short packet lengths using extensive Bit Error Rate (BER) computations.