Increase Data Rate over Error-prone networks
| Title | Increase Data Rate over Error-prone networks |
|---|---|
| Summary | Increase Data Rate over Error-prone networks (AIRBUS) |
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| References | 1) D. E. Lucani, M. V. Pedersen, D. Ruano, C. W. Sørensen, F. H. P. Fitzek, J. Heide, O. Geil, V. Nguyen, M. Reisslein — “Fulcrum: Flexible Network Coding for Heterogeneous Devices.” IEEE Access, 2018.
2) V. Nguyen, J. A. Cabrera, D. You, H. Salah, G. T. Nguyen, F. H. P. Fitzek — “Advanced Adaptive Decoder Using Fulcrum Network Codes.” IEEE Access, 2019. 3) A. Shahzad, R. Ali, A. Haider, H. S. Kim — “RS-RLNC: A Reinforcement Learning-Based Selective Random Linear Network Coding Framework for Tactile Internet.” IEEE Access, 2023. |
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| Supervisor | EDISON PIGNATON DE FREITAS |
| Level | Master |
| Status | Open |
This work aims to devise a mechanism to reduce latency by sending redundant data together with the original one, allowing for packet reconstruction at the destination. In particular, FEC through Random Linear Network Coding (RLNC) is able to reduce the number of distinct packet transmissions in a network and minimizes packet transmissions due to poor network conditions. In particular Fulcrum Network Coding (FNC), is a variation of RLNC that aims to reduce the computational complexity and decoding delay. However, Fulcrum Codes parameters are statically chosen before data transmission, while using feedback or retransmission is impractical in rapidly changing network conditions. Hence, this work aims to devise a mechanism to allow FNC to adapt to the available capabilities of nodes in a dynamic network.
Work in partnership with AIRBUS Central Research and Technology, Germany.
