TY - JOUR
N2 - Optimal random network coding is reduced complexity in computation of coding coefficients, computation of encoded packets and coefficients are such that minimal transmission bandwidth is enough to transmit coding coefficient to the destinations and decoding process can be carried out as soon as encoded packets are started being received at the destination and decoding process has lower computational complexity. But in traditional random network coding, decoding process is possible only after receiving all encoded packets at receiving nodes. Optimal random network coding also reduces the cost of computation. In this research work, coding coefficient matrix size is determined by the size of layers which defines the number of symbols or packets being involved in coding process. Coding coefficient matrix elements are defined such that it has minimal operations of addition and multiplication during coding and decoding process reducing computational complexity by introducing sparseness in coding coefficients and partial decoding is also possible with the given coding coefficient matrix with systematic sparseness in coding coefficients resulting lower triangular coding coefficients matrix. For the optimal utility of computational resources, depending upon the computational resources unoccupied such as memory available resources budget tuned windowing size is used to define the size of the coefficient matrix.
L1 - http://journals.pan.pl/Content/113304/PDF/62.pdf
L2 - http://journals.pan.pl/Content/113304
PY - 2019
IS - No 3
EP - 469
DO - 10.24425/ijet.2019.129800
KW - Coding coefficients
KW - computational complexity
KW - lower triangular matrix
KW - random network coding
KW - sparse coding coefficients
A1 - Dong, Dhawa Sang
A1 - Pokhrel, Yagnya Murti
A1 - Gachhadar, Anand
A1 - Maharjan, Ram Krishna
A1 - Qamar, Faizan
A1 - Amiri, Iraj Sadegh
PB - Polish Academy of Sciences Committee of Electronics and Telecommunications
VL - vol. 65
T1 - Resource Tuned Optimal Random Network Coding for Single Hop Multicast future 5G Networks
DA - 2019.09.06
SP - 463
UR - http://journals.pan.pl/dlibra/publication/edition/113304
T2 - International Journal of Electronics and Telecommunications
ER -