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Noisy-network-coding inner region for the finite two-way relay channel

Statement

For the finite two-way relay channel in Finite two-way relay channel and causal code, choose independent inputs PX1PX2PXr and a relay test channel PY^r∣Yr,Xr. The following rates are achievable by the finite multicast NNC theorem [F1]: R1<min⁡{I(X1;Y2,Y^r∣X2,Xr), I(X1,Xr;Y2∣X2)−I(Yr;Y^r∣X1,X2,Xr,Y2)}, R2<min⁡{I(X2;Y1,Y^r∣X1,Xr), I(X2,Xr;Y1∣X1)−I(Yr;Y^r∣X1,X2,Xr,Y1)}. The closure of the union over such laws, together with the zero-rate pair, is an inner region, not asserted to be capacity. The zero pair is attained by singleton message sets at both terminals.

Facts & Assumptions

Given: The finite two-way relay model, independent terminal messages, and the input and relay test-channel laws above.

[F1]

Noisy network coding inner bound for finite multicast networks: for each destination, every cut separating that destination from its required message sources gives the corresponding NNC rate inequality.

[F2]

Finite two-way relay channel and causal code: terminal 1 wants terminal 2's message and terminal 2 wants terminal 1's message; all inputs depend only on local messages and past local outputs.

[F3]

Finite conditional mutual information, Finite conditional mutual information identities and equality, and Finite entropy and mutual-information chain rules: the finite conditional-KL definition, nonnegativity identity, and entropy/mutual-information chain rules apply.

Proof

1.1F1F2given

For destination 2 and message source 1, the cut containing only node 1 yields I(X1;Y2,Y^r∣X2,Xr); the cut containing nodes 1 and r yields I(X1,Xr;Y2∣X2)−I(Yr;Y^r∣X1,X2,Xr,Y2). The other node's observation reconstruction may be constant. These are the two bounds on R1.

2.1F1F2step 1.1

For destination 1 and message source 2, the two cuts are respectively node 2 alone and nodes 2 with the relay. Substitution into [F1] yields the displayed two bounds on R2. Both destinations can use their own message as side information, as in [F2].

3.1F1F3step 1.1step 2.1algebra

Taking the intersection of the two destination constraints and then closure over rates yields the stated inner region; the finite mutual-information quantities use the chain-rule and conditional-law conventions of [F3]. The simultaneous multicast code supplied by [F1] serves both destinations, with each terminal using its own message as side information.

4.1F2given∎

If R1=R2=0, both terminals use singleton message sets and return their unique required messages, so the error probability is zero. This includes the zero-rate pair even if a displayed right-hand side is negative.

Depends on

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