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In the random linear network coding scenario with subspace codes applied, if the number of packets injected into the network is larger than the dimension of the subspace, the packets are not linearly independent. This paper addresses the problem of how to choose these packets to represent the subspaces so as to minimize the decoding failure probability and formulates it as a precoding problem. We...
In this paper, the decoding failure probability for {\it sparse} random linear network coding in a probabilistic network model is analyzed. The network transfer matrix is modeled by a random matrix consisting of independently and identically distributed elements chosen from a large finite field, and the probability of choosing each nonzero field element tends to zero, as the finite field size tends...
Motivated by the noncoherent subspace coding approach and the low-complexity sparse coding approach to realize random linear network coding, we consider the problem of characterizing the probability of having a full rank (or nonsingular) square transfer matrix over a finite field, for which the probability of choosing the zero element is different from that of choosing a nonzero element. We found...
In order to initiatively imitate and improve network performance, by research and analysis of signaling message which is transmitted in the LTE-Uu interface protocol stack, A practical project on the design and application of the ASN.1 encoder/decoder in the LTE-Uu interface protocol stack is put forward based on the theory of the ASN.1 and its UPER coding rule. The design contains the data structure...
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