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more detailed explanation of the setting
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Euclid
  • 115
  • 4

In aA single-input-single-output communication channel is to be used repetitively. Denote by $X_i \in \mathcal X$ the input at time $i$ and by $Y_i \in \mathcal Y$ the output at time $i$.

Assume the channel is not memoryless and $Y_i$ depends on some of the previous inputs and/or outputs in a particular way (that is the same through all $i$). For example, $Y_i$ might depend on $X_i$ as well as $X_{i-1}$ through transition probabilities $P_{Y|X,X'}(\cdot|\cdot,\cdot)$ for all $i$ (where $X'$ represents the input at the previous transmission). For another example, $Y_i$ might depend on $X_i$ as well as $Y_{i-1}$ through transition probabilities $P_{Y|X,Y'}(\cdot|\cdot,\cdot)$ for all $i$ (where $Y'$ represents the output after the previous transmission).

We study the input-output relations of $n$ channel uses. $\{ X_i \}_{i=1}^n$ are the inputs and $\{ Y_i \}_{i=1}^n$ are the corresponding outputs.

  We represent the dependency relations of these by a graph with $2n$ nodes (one for each $X_i$ and for each $Y_i$), where there is a directed edge whenever there is a dependency. See the examples in the figures below.

Figure 1

Figure 2

Figure 3

Call this graph the dependency graph of the channel.

My question is: Are there works in the literature where channel capacity or other quantities of the channel are studied in connection with the properties of its dependency graph?

In a communication channel, $\{ X_i \}_{i=1}^n$ are inputs and $\{ Y_i \}_{i=1}^n$ are the corresponding outputs.

  We represent the dependency relations by a graph with $2n$ nodes (one for each $X_i$ and for each $Y_i$), where there is a directed edge whenever there is a dependency. See the examples in the figures below.

Figure 1

Figure 2

Figure 3

Call this graph the dependency graph of the channel.

My question is: Are there works in the literature where channel capacity or other quantities of the channel are studied in connection with the properties of its dependency graph?

A single-input-single-output communication channel is to be used repetitively. Denote by $X_i \in \mathcal X$ the input at time $i$ and by $Y_i \in \mathcal Y$ the output at time $i$.

Assume the channel is not memoryless and $Y_i$ depends on some of the previous inputs and/or outputs in a particular way (that is the same through all $i$). For example, $Y_i$ might depend on $X_i$ as well as $X_{i-1}$ through transition probabilities $P_{Y|X,X'}(\cdot|\cdot,\cdot)$ for all $i$ (where $X'$ represents the input at the previous transmission). For another example, $Y_i$ might depend on $X_i$ as well as $Y_{i-1}$ through transition probabilities $P_{Y|X,Y'}(\cdot|\cdot,\cdot)$ for all $i$ (where $Y'$ represents the output after the previous transmission).

We study the input-output relations of $n$ channel uses. $\{ X_i \}_{i=1}^n$ are the inputs and $\{ Y_i \}_{i=1}^n$ are the corresponding outputs. We represent the dependency relations of these by a graph with $2n$ nodes (one for each $X_i$ and for each $Y_i$), where there is a directed edge whenever there is a dependency. See the examples in the figures below.

Figure 1

Figure 2

Figure 3

Call this graph the dependency graph of the channel.

My question is: Are there works in the literature where channel capacity or other quantities of the channel are studied in connection with the properties of its dependency graph?

Source Link
Euclid
  • 115
  • 4

Channel Capacity & Dependency Graph

In a communication channel, $\{ X_i \}_{i=1}^n$ are inputs and $\{ Y_i \}_{i=1}^n$ are the corresponding outputs.

We represent the dependency relations by a graph with $2n$ nodes (one for each $X_i$ and for each $Y_i$), where there is a directed edge whenever there is a dependency. See the examples in the figures below.

Figure 1

Figure 2

Figure 3

Call this graph the dependency graph of the channel.

My question is: Are there works in the literature where channel capacity or other quantities of the channel are studied in connection with the properties of its dependency graph?