noiseless-multisource-multicast-network

Noiseless multisource multicast network

Every sink recovers independent messages generated at several nodes. Linear network coding achieves exactly the cut constraints.

Multiple access Broadcast Finite alphabet Capacity region Exact Single-letter characterization

Channel and question

Input
Independent uniform messages \(M_i\) originate at specified nodes \(s_i\) of a finite directed acyclic network \(G=(V,E)\).
Output
Every sink \(t\in T\) decodes the entire message tuple from its incoming packets and any messages generated locally.
Law
Edge \(e\) transmits exactly \(\lfloor n c_e\rfloor\) noiseless bits in an n-use code, for a fixed nonnegative real capacity \(c_e\).
Quantity
Multisource multicast capacity region \(\mathcal C\), measured in bits per network use.

Criterion. Nonnegative rate vectors attainable at every sufficiently large blocklength, with a common vanishing rate tolerance and joint average block error.

  • The sink set is nonempty. Multiple messages may originate at the same node, including a sink.
  • Nodes process packets in topological order using deterministic functions of local messages and incoming packets.
  • Packet lengths and schedules are fixed and carry no information.
  • The probability that any sink decodes any message incorrectly vanishes.

Current status

\[\mathcal C=\{R\ge0:\ \sum_{i:s_i\in U}R_i\le\sum_{e\in\delta^+(U)}c_e\quad\forall t\in T,\ U\subseteq V\setminus\{t\}\}\]

Here \(\delta^+(U)\) contains edges leaving U. Zero-error linear codes over finite binary extension fields achieve the whole region in the limit, including its boundary.

Known results and bounds for Noiseless multisource multicast network
ResultRelationMethodYear
Lower\(\{R\ge0:\ \sum_{i:s_i\in U}R_i\le\sum_{e\in\delta^+(U)}c_e\ \forall t\in T,\ U\subseteq V\setminus\{t\}\}\subseteq\mathcal C\)Linear network coding for independent sources, with finite-field symbols represented by binary packets.2006
Upper\(\mathcal C\subseteq\{R\ge0:\ \sum_{i:s_i\in U}R_i\le\sum_{e\in\delta^+(U)}c_e\ \forall t\in T,\ U\subseteq V\setminus\{t\}\}\)Cut-set converse conditioned on the messages originating outside the cut.2006

Formal verification

Lean coverageFormally stated

The local proof constructs zero-error codes for the inner bound and proves the converse for arbitrary deterministic local codes. Real link capacities, zero rates, and sources located at sinks are included.

Claims

  • The operational multisource multicast region equals the nonnegative cut-constraint region.
    capacity-region · exact capacity · solved · Formally proved · v1
Lean declarations (3)

References

  1. Tracey Ho, Muriel Médard, Ralf Koetter, David R. Karger, Michelle Effros, Jun Shi, and Ben Leong (2006). A Random Linear Network Coding Approach to Multicast. IEEE Transactions on Information Theory. DOI 10.1109/TIT.2006.881746.

Discussion

Related problems

The three-input Blackwell channel is a concrete nondegraded deterministic broadcast channel with an exact entropy capacity region.

Broadcast Finite alphabet Discrete memoryless Asymmetric Capacity region Exact Single-letter characterization
Solved \(R_1\le H(Y_1),\quad R_2\le H(Y_2),\quad R_1+R_2\le H(Y_1,Y_2)\)

Both receivers decode a common message; receiver 1 also decodes an independent confidential message kept secret from receiver 2.

Broadcast Wiretap Finite alphabet Discrete memoryless Secrecy Capacity region Exact Single-letter characterization
Solved \(\mathcal C_{\mathrm{BCC}}=\overline{\bigcup_{U-V-X-(Y,Z)}\{(R_0,R_1)\ge0:\ R_0\le\min\{I(U;Y),I(U;Z)\},\ R_1\le I(V;Y\mid U)-I(V;Z\mid U)\}}\)

A less-noisy ordering compares every finite stochastic prefix and yields the exact superposition-coding capacity region.

Broadcast Finite alphabet Discrete memoryless Capacity region Exact Single-letter characterization
Solved \(\mathcal C_{\mathrm{LN}}=\bigcup_{P_U P_{X|U}}\{R_1\le I(X;Y_1\mid U),\ R_2\le I(U;Y_2)\}\)

A more-capable ordering compares the receivers for every input distribution and yields an exact superposition-coding capacity region.

Broadcast Finite alphabet Discrete memoryless Capacity region Exact Single-letter characterization
Solved \(\mathcal C_{\mathrm{MC}}=\bigcup_{P_U P_{X|U}}\{R_2\le I(U;Y_2),\ R_1+R_2\le\min[I(X;Y_1),I(X;Y_1\mid U)+I(U;Y_2)]\}\)