The min-cut value towards a single receiver in a network with unit capacity edges can be achieved by routing a single bit. The multicast theorem in network coding shows that, the common min-cut value towards N >= 1 receivers can also be achieved using packets of length log N bits, if the operations the intermediate nodes perform are deterministically known at the receivers. We here calculate the capacity in the case where these operations are unknown, and characterize how the capacity depends on the min-cut value and the packet length
The coding capacity of a network is the supremum of ratios, for which there exists a fractional @ A ...
Ahlswede R, Cai N, Li SYR, Yeung RW. Network information flow. In: IEEE Transactions on Information...
In this dissertation, the following network computing problem is considered. Source nodes in a direc...
We consider the problem of multicasting information from a source to a set of receivers over a netwo...
We consider multisource non-coherent network coding, where multiple sources send information to one ...
The famous min-cut, max-flow theorem states that a source node can send a commodity through a networ...
The famous max-flow min-cut theorem states that a source node s can send information through a netwo...
In the multicast network coding problem, a source s needs to deliver h packets to a set of k termina...
In the multicast network coding problem, a source s needs to deliver h packets to a set of k termina...
We introduce a new class of problems called network information flow which is inspired by computer n...
In a single hop broadcast packet erasure network, we demonstrate that it is possible to provide mult...
Random Linear Network Coding (RLNC) has emerged as a powerful tool for robust high-throughput multic...
Random coding arguments are the backbone of most channel capacity achievability proofs. In this pape...
In this paper, a special class of wireless networks, called wireless erasure networks, is considered...
The min-cut, max-flow theorem states that a source node can send a commodity through a network to a ...
The coding capacity of a network is the supremum of ratios, for which there exists a fractional @ A ...
Ahlswede R, Cai N, Li SYR, Yeung RW. Network information flow. In: IEEE Transactions on Information...
In this dissertation, the following network computing problem is considered. Source nodes in a direc...
We consider the problem of multicasting information from a source to a set of receivers over a netwo...
We consider multisource non-coherent network coding, where multiple sources send information to one ...
The famous min-cut, max-flow theorem states that a source node can send a commodity through a networ...
The famous max-flow min-cut theorem states that a source node s can send information through a netwo...
In the multicast network coding problem, a source s needs to deliver h packets to a set of k termina...
In the multicast network coding problem, a source s needs to deliver h packets to a set of k termina...
We introduce a new class of problems called network information flow which is inspired by computer n...
In a single hop broadcast packet erasure network, we demonstrate that it is possible to provide mult...
Random Linear Network Coding (RLNC) has emerged as a powerful tool for robust high-throughput multic...
Random coding arguments are the backbone of most channel capacity achievability proofs. In this pape...
In this paper, a special class of wireless networks, called wireless erasure networks, is considered...
The min-cut, max-flow theorem states that a source node can send a commodity through a network to a ...
The coding capacity of a network is the supremum of ratios, for which there exists a fractional @ A ...
Ahlswede R, Cai N, Li SYR, Yeung RW. Network information flow. In: IEEE Transactions on Information...
In this dissertation, the following network computing problem is considered. Source nodes in a direc...