Capacity analysis of linear operator channels over finite fields

Motivated by communication through a network employing linear network coding, capacities of linear operator channels (LOCs) with arbitrarily distributed transfer matrices over finite fields are studied. Both the Shannon capacity C and the subspace coding capacity C SS are analyzed. By establishing and comparing lower bounds on C and upper bounds on C SS , various necessary conditions and sufficient conditions such that C = C SS are obtained. A new class of LOCs such that C = C SS is identified, which includes LOCs with uniform-given-rank transfer matrices as special cases. It is also demonstrated that C SS is strictly less than C for a broad class of LOCs. In general, an optimal subspace coding scheme is difficult to find because it requires to solve the maximization of a nonconcave function. However, for an LOC with a unique subspace degradation, C SS can be obtained by solving a convex optimization problem over rank distribution. Classes of LOCs with a unique subspace degradation are characterized. Since LOCs with uniform-given-rank transfer matrices have unique subspace degradations, some existing results on LOCs with uniform-given-rank transfer matrices are explained from a more general way.Shenghao Yang, Siu-Wai Ho, Jin Meng and En-Hui Yan