The Complexity of Network Coding With Two Unit-Rate Multicast Sessions
Wentu Song, Kai Cai, Rongquan Feng, Chau Yuen · IEEE Transactions on Information Theory · 2013
The encoding complexity of network coding for single multicast networks has been intensively studied from several aspects: e.g., the time complexity, the required number of encoding links, and the required field size for a linear code solution. However, these issues as well as the solvability are less understood for networks with multiple multicast sessions. Recently, Wang and Shroff showed that the solvability of networks with two unit-rate multicast sessions (2-URMS) can be decided in polynomial time . In this paper, we prove that for the 2-URMS networks: 1) the solvability can be determined with time O(|E|); 2) a solution can be constructed with time O(|E|); 3) an optimal solution can be obtained in polynomial time; 4) the number of encoding links required to achieve a solution is upper-bounded by max{3,2N - 2}; and 5) the field size required to achieve a linear solution is upper-bounded by max{2, ⌊√{2N-7/4}+1/2⌋}, where |E| is the number of links and N is the number of sinks of the underlying network. Both bounds are shown to be tight.