Open Access Open Access  Restricted Access Subscription Access

Fountain Coded Wireless Transmission Model


Affiliations
1 School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara -144411, Punjab, India
 

Background/Objectives: Rateless codes have recently attracted much engrossment in community communication research as the Luby Transform codes and Raptor codes are most renowned. The Fountain codes do not have the requirement of the receiver to inform the transmitter of the identity of the packets that are corrupted resulting in expelling the need of automatic repeat request transmission. Analysis: The fountain codes have high performance near to shanon limit and they have very low bit error rates as compared to channel codes used, they further have an advantage over these codes in criterion like overhead and space required for storage. Erasure codes based Forward Error Correction schemes and transfer protocols that support such codes approach to distribution of data. Wireless communication system requires error control coding at the physical layer in order to communicate over noisy channels, but they can also benefit from erasure correcting coding at the higher layer. The aggregation of good channel code with CRC code can transform a channel with noise characteristics into erasure channel by discarding the packet that fail. Results/Findings: This paper revisits the fountain codes and proposes a research work which uses fountain coding in encoding processes for wireless channel transmissions for various future studies and analysis. Conclusion/Applications: The use of fountain codes seems to be the best solution for wireless transmission over the channels with vast packet failures and disturbances. These findings may be used for deployment in MIMO models and other wireless transmission techniques.

Keywords

Degree Distribution, Fountain Codes, Low Density Parity Check Codes, Luby Transform Codes
User

Abstract Views: 178

PDF Views: 0




  • Fountain Coded Wireless Transmission Model

Abstract Views: 178  |  PDF Views: 0

Authors

Anmol Singh Brar
School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara -144411, Punjab, India
Amandeep Singh Sandhu
School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara -144411, Punjab, India

Abstract


Background/Objectives: Rateless codes have recently attracted much engrossment in community communication research as the Luby Transform codes and Raptor codes are most renowned. The Fountain codes do not have the requirement of the receiver to inform the transmitter of the identity of the packets that are corrupted resulting in expelling the need of automatic repeat request transmission. Analysis: The fountain codes have high performance near to shanon limit and they have very low bit error rates as compared to channel codes used, they further have an advantage over these codes in criterion like overhead and space required for storage. Erasure codes based Forward Error Correction schemes and transfer protocols that support such codes approach to distribution of data. Wireless communication system requires error control coding at the physical layer in order to communicate over noisy channels, but they can also benefit from erasure correcting coding at the higher layer. The aggregation of good channel code with CRC code can transform a channel with noise characteristics into erasure channel by discarding the packet that fail. Results/Findings: This paper revisits the fountain codes and proposes a research work which uses fountain coding in encoding processes for wireless channel transmissions for various future studies and analysis. Conclusion/Applications: The use of fountain codes seems to be the best solution for wireless transmission over the channels with vast packet failures and disturbances. These findings may be used for deployment in MIMO models and other wireless transmission techniques.

Keywords


Degree Distribution, Fountain Codes, Low Density Parity Check Codes, Luby Transform Codes



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i14%2F132356