Channel capacities and open gaps.

60Problems 14Open
57Formally stated
14Formally proved

Featured open problems

Each input bit is independently deleted without an erasure marker; the exact capacity is unknown for every nontrivial deletion probability.

Point-to-point Binary Finite alphabet Memory Deletion Capacity Bounds only
Open \(0.1221(1-d)<C_{\mathrm{del}}(d)\le0.3578(1-d)\)

The capacity region of this binary-input broadcast channel remains unknown.

Broadcast Finite alphabet Discrete memoryless Binary Asymmetric Capacity region Bounds only
Open \(\mathcal R_{\mathrm{Marton}}\subseteq\mathcal C_{\mathrm{BSSC}}\subseteq\mathcal R_{\mathrm{UV}}\)

A causal relay assists a source, but decode-forward and the cut-set bound do not coincide in general.

Relay Finite alphabet Discrete memoryless Capacity Bounds only
Open \(R_{\mathrm{DF}}\le C\le R_{\mathrm{cut}}\)

The capacity region for two arbitrary broadcast receivers remains unknown outside important ordered subclasses.

Broadcast Finite alphabet Discrete memoryless Capacity region Bounds only
Open \(\mathcal R_{\mathrm{Marton}}\subseteq\mathcal C_{\mathrm{BC}}\subseteq\mathcal R_{\mathrm{UV}}\)

Two transmitter-receiver pairs interfere, and the exact capacity region is unknown in general.

Interference Finite alphabet Discrete memoryless Capacity region Bounds only
Open \(\mathcal R_{\mathrm{HK}}\subseteq\mathcal C_{\mathrm{IC}}\subseteq\mathcal R_{\mathrm{outer}}\)

A relay observes a noisy channel output and sends information over a separate noiseless finite-capacity link, but capacity is unknown in general.

Relay Finite alphabet Discrete memoryless Capacity Bounds only
Open \(R_{\mathrm{CF}}\le C(R_0)\le C_{\mathrm{cut}}\)

The Shannon capacity of the seven-cycle remains unknown.

Zero error Finite alphabet Discrete memoryless Zero-error capacity Bounds only Regularized characterization
Open \(367^{1/5}\le\Theta(C_7)\le\frac{7\cos(\pi/7)}{1+\cos(\pi/7)}\)

The linear-encoder symmetric capacity is known, while unrestricted nonlinear capacity remains open.

Index coding Finite alphabet Multiple unicast Non-Shannon inequalities Nonlinear coding Symmetric capacity Bounds only Linear-encoder-only result
Open \(\frac5{13}\le C_{\mathrm{sym}}\le\frac{11}{28}\)

A six-message, ten-receiver groupcast instance has linear-encoder capacity 5/13 and a non-Shannon nonlinear upper bound 11/28.

Index coding Finite alphabet Non-Shannon inequalities Nonlinear coding Symmetric capacity Bounds only Linear-encoder-only result
Open \(\frac5{13}\le C_{\mathrm{sym}}\le\frac{11}{28}\)

For a finite confusability graph, the regularized independence number defines capacity but is difficult to compute or characterize.

Zero error Finite alphabet Discrete memoryless Zero-error capacity Regularized characterization Bounds only
Open \(\Theta(G)=\sup_{n\ge1}\alpha(G^{\boxtimes n})^{1/n}\)