modulo-additive-two-way-channel

Modulo-additive two-way channel

Independent additive noises allow simultaneous communication in both directions without an adaptation gain.

Two-way Finite alphabet Discrete memoryless Additive noise Feedback Capacity region Exact

Channel and question

Input
Each terminal chooses an element of a common finite abelian group.
Output
Terminal one sees X1+X2+Z1 and terminal two sees X1+X2+Z2.
Law
Group addition with independent memoryless noises having arbitrary fixed group distributions.
Quantity
Modulo-additive two-way channel capacity \(\mathcal C\), measured in bits per channel use.

Criterion. Vanishing average block error, with the constraints specified in the model.

  • The two messages are independent and uniform.
  • Each encoder knows its own message and strictly past local outputs.
  • Each decoder knows its own message and its entire local output word.
  • R1 is the rate from terminal one to terminal two, and R2 is the reverse rate.

Current status

\[0\le R_1\le\log_2|G|-H(Z_2),\quad 0\le R_2\le\log_2|G|-H(Z_1)\]
Known results and bounds for Modulo-additive two-way channel
ResultRelationMethodYear
Exact\(0\le R_1\le\log_2|G|-H(Z_2),\quad 0\le R_2\le\log_2|G|-H(Z_1)\)Self-input cancellation and conditional-entropy converses.2016

Formal verification

Lean coverageFormally stated

Concrete operational definitions and admitted research statements are present. Existing proofs are preserved. New statements require mathematical review and proof completion.

Claims

  • Independent memoryless additive noises give a rectangular capacity region even with adaptation.
    operational-capacity · exact capacity · solved · Formally stated · v1
Lean declarations (1)

References

  1. Lin Song, Fady Alajaji, and Tamas Linder (2016). Adaptation is Useless for Two Discrete Additive-Noise Two-Way Channels. IEEE International Symposium on Information Theory.

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 \(\mathcal C_{\mathrm{BCC}}=\overline{\bigcup_{U-V-X-(Y,Z)}\{(R_0,R_1)\ge0:\ R_0\le\min\{I(U;Y),I(U;Z)\},\ R_1\le I(V;Y\mid U)-I(V;Z\mid U)\}}\)

Two terminals exchange messages while adapting each input to their own past observations.

Two-way Finite alphabet Discrete memoryless Feedback Capacity region Bounds only
Open \(\mathcal R_{\mathrm{Shannon,in}}\subseteq\mathcal C_{\mathrm{TWC}}\subseteq\mathcal R_{\mathrm{Shannon,out}}\)

A Gaussian vector transmitter sends independent private messages to multiple receivers, and dirty-paper coding achieves the full capacity region.

Broadcast Continuous alphabet Gaussian Additive noise Power constraint Capacity region Exact Single-letter characterization
Solved \(\begin{gathered} \mathcal C(P)=\overline{\operatorname{conv}}\! \bigcup_{\substack{\pi,\ Q_1,\ldots,Q_K\succeq0\\\sum_i\operatorname{tr}Q_i\le P}} \{R\in\mathbb R_+^K:R_{\pi(k)}\le r_{\pi(k)},\ k=1,\ldots,K\},\\ r_{\pi(k)}=\frac12\log_2 \frac{\det(N_{\pi(k)}+H_{\pi(k)}S_kH_{\pi(k)}^{\mathsf T})} {\det(N_{\pi(k)}+H_{\pi(k)}S_{k-1}H_{\pi(k)}^{\mathsf T})} \end{gathered}\)