more-capable-broadcast-channel

More-capable two-receiver broadcast channel

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

Channel and question

Input
A finite common channel input \(X\).
Output
Finite receiver outputs \(Y_1\) and \(Y_2\).
Law
Receiver 1 is more capable when \(I(X;Y_1)\ge I(X;Y_2)\) for every input distribution.
Quantity
Private-message capacity region \(\mathcal C_{\mathrm{MC}}\), measured in ordered pairs of bits per channel use.

Criterion. Closure of achievable private-message rate pairs.

  • Independent private messages and vanishing average error.
  • Arbitrary finite superposition auxiliary alphabets are allowed.

Current status

\[\mathcal C_{\mathrm{MC}}=\bigcup_{P_U P_{X|U}}\{R_2\le I(U;Y_2),\ R_1+R_2\le\min[I(X;Y_1),I(X;Y_1\mid U)+I(U;Y_2)]\}\]
Known results and bounds for More-capable two-receiver broadcast channel
ResultRelationMethodYear
Exact\(R_2\le I(U;Y_2),\quad R_1+R_2\le\min\{I(X;Y_1),I(X;Y_1\mid U)+I(U;Y_2)\}\)Superposition coding and a more-capable converse.1979

Formal verification

Lean coverageFormally stated

New statements await mathematical review and proofs.

Claims

  • The more-capable private-message region, including its sum-rate condition.
    operational-capacity · exact capacity · solved · Formally stated · v1
Lean declarations (2)

References

  1. Abbas El Gamal (1979). The Capacity of a Class of Broadcast Channels. IEEE Transactions on Information Theory. DOI 10.1109/TIT.1979.1056014.

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 \(\mathcal C_{\mathrm{LN}}=\bigcup_{P_U P_{X|U}}\{R_1\le I(X;Y_1\mid U),\ R_2\le I(U;Y_2)\}\)

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