Abstract: Methods and systems involving network coding (NC) atoms as building blocks of NC networks solve the scheduling problem in NC networks using a decomposition framework based on NC atoms. Ten physical-layer network coding (PNC) atoms and their straightforward network coding (SNC) counterparts are disclosed. SNC network can generate a transmission schedule based on SNC atoms. PNC network can generate transmission schedule based on PNC atoms. Performance evaluation results indicate that decomposition based on PNC atoms outperforms the traditional multi-hop (non-NC) scheduling by about 100% and can yield performance gain of 40% or more compared with decomposition based on the PNC TWRC atom alone. Further performance evaluation results indicate that decomposition based on SNC atoms outperforms the traditional multi-hop (non-NC) scheduling by about 33% and can yield performance gain of 14% or more compared with decomposition based on the SNC TWRC atom alone.

Abstract: Methods and systems involving network coding (NC) atoms as building blocks of NC networks solve the scheduling problem in NC networks using a decomposition framework based on NC atoms. Ten physical-layer network coding (PNC) atoms and their straightforward network coding (SNC) counterparts are disclosed. SNC network can generate a transmission schedule based on SNC atoms. PNC network can generate transmission schedule based on PNC atoms. Performance evaluation results indicate that decomposition based on PNC atoms outperforms the traditional multi-hop (non-NC) scheduling by about 100% and can yield performance gain of 40% or more compared with decomposition based on the PNC TWRC atom alone. Further performance evaluation results indicate that decomposition based on SNC atoms outperforms the traditional multi-hop (non-NC) scheduling by about 33% and can yield performance gain of 14% or more compared with decomposition based on the SNC TWRC atom alone.

Abstract: Methods and systems involving network coding (NC) atoms as building blocks of NC networks solve the scheduling problem in NC networks using a decomposition framework based on NC atoms. Ten physical-layer network coding (PNC) atoms and their straightforward network coding (SNC) counterparts are disclosed. SNC network can generate a transmission schedule based on SNC atoms. PNC network can generate transmission schedule based on PNC atoms. Performance evaluation results indicate that decomposition based on PNC atoms outperforms the traditional multi-hop (non-NC) scheduling by about 100% and can yield performance gain of 40% or more compared with decomposition based on the PNC TWRC atom alone. Further performance evaluation results indicate that decomposition based on SNC atoms outperforms the traditional multi-hop (non-NC) scheduling by about 33% and can yield performance gain of 14% or more compared with decomposition based on the SNC TWRC atom alone.

Abstract: Methods and systems involving network coding (NC) atoms as building blocks of NC networks solve the scheduling problem in NC networks using a decomposition framework based on NC atoms. Ten physical-layer network coding (PNC) atoms and their straightforward network coding (SNC) counterparts are disclosed. SNC network can generate a transmission schedule based on SNC atoms. PNC network can generate transmission schedule based on PNC atoms. Performance evaluation results indicate that decomposition based on PNC atoms outperforms the traditional multi-hop (non-NC) scheduling by about 100% and can yield performance gain of 40% or more compared with decomposition based on the PNC TWRC atom alone. Further performance evaluation results indicate that decomposition based on SNC atoms outperforms the traditional multi-hop (non-NC) scheduling by about 33% and can yield performance gain of 14% or more compared with decomposition based on the SNC TWRC atom alone.

Abstract: Methods and systems are disclosed involving physical-layer network coding (PNC) atoms as building blocks of PNC networks to solve the scheduling problem in PNC networks using a decomposition framework based on PNC atoms. Ten PNC atoms and their straightforward network coding (SNC) counterparts are disclosed. Performance evaluation results are discussed, which indicate that decomposition based on the ten PNC atoms outperforms the traditional multi-hop (non-NC) scheduling by about 100%. Furthermore, decomposition based on the ten PNC atoms can yield performance gain of 40% or more compared with decomposition based on the TWRC atom alone.

Abstract: Methods and systems are disclosed involving physical-layer network coding (PNC) atoms as building blocks of PNC networks to solve the scheduling problem in PNC networks using a decomposition framework based on PNC atoms. Ten PNC atoms and their straightforward network coding (SNC) counterparts are disclosed. Performance evaluation results are discussed, which indicate that decomposition based on the ten PNC atoms outperforms the traditional multi-hop (non-NC) scheduling by about 100%. Furthermore, decomposition based on the ten PNC atoms can yield performance gain of 40% or more compared with decomposition based on the TWRC atom alone.