New arriving process for convolutional codes with adaptive behavior

In computer networking, the messages are split into smaller frames which are then transmitted over the network due to mainly having limited buffer size. Frames´ retransmissions, as a result of frames being corrupted or dropped, need to be avoided as much as possible due to possible network congestion. In this paper, we propose a new buffering model to describe convolutional codes with adaptive behavior that aims to mitigate frames´ retransmissions caused by frames´ corruption. As technology evolves, new efficient decoding algorithms are emerging and have come out. Hence, we consider, in this paper, working on decoders that are faster than previously proposed. Moreover, in our buffering model, we can reduce the number of frames being dropped due to insufficient buffer size through developing a closed-form expression which concerns about the buffer occupancy level that needs to be operated in network elements that employ decoders with adaptive behavior.