학술논문

On the Gap Between Scalar and Vector Solutions of Generalized Combination Networks
Document Type
Periodical
Source
IEEE Transactions on Information Theory IEEE Trans. Inform. Theory Information Theory, IEEE Transactions on. 67(8):5580-5591 Aug, 2021
Subject
Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Network coding
Encoding
Upper bound
Receivers
Throughput
Routing
Delays
Gap size
generalized combination network
network coding
vector network coding
Language
ISSN
0018-9448
1557-9654
Abstract
We study scalar-linear and vector-linear solutions of the generalized combination network. We derive new upper and lower bounds on the maximum number of nodes in the middle layer, depending on the network parameters and the alphabet size. These bounds improve and extend the parameter range of known bounds. Using these new bounds we present a lower bound and an upper bound on the gap in the alphabet size between optimal scalar-linear and optimal vector-linear network coding solutions. For a fixed network structure, while varying the number of middle-layer nodes $r$ , the asymptotic behavior of the upper and lower bounds shows that the gap is in $\Theta (\log (r))$ .