Cut Set Bounds in Network Information Theory - PowerPoint PPT Presentation

1 / 11
About This Presentation
Title:

Cut Set Bounds in Network Information Theory

Description:

Cut Set Bounds in Network. Information Theory ... (i2), ..., W(im), Y1(i), Y2(i),...,Y(k-1)(i)) Decoder: Wk(ij) (Y1(j), Y2(j),...,Y(n)(j), W(j1), W(j2), ..., W ... – PowerPoint PPT presentation

Number of Views:61
Avg rating:3.0/5.0
Slides: 12
Provided by: ravira8
Category:
Tags: bounds | cut | ee | information | network | ravi | set | theory

less

Transcript and Presenter's Notes

Title: Cut Set Bounds in Network Information Theory


1
Cut Set Bounds in NetworkInformation Theory
  • Presentation in ECE 1528 Multiuser Information
    Theory
  • April 12th 2007

2
Overview
  • Weve generally focused on single source and/or
    destination
  • single source/single destination (ECE 1502)
  • multiple sources/single receiver (MAC)
  • single source/multiple receivers (BC)
  • Here m source-destination pairs
  • This presentation
  • rate bounds
  • specializations to MAC, relay and two-way
    channels
  • stolen from Cover and Thomas

3
General Multi-Terminal Network
What is the total flow across the cut?
4
Multiple Sources
  • m nodes
  • Node i sends information to node j _at_ rate R(ij)
  • message W(ij) independent and uniformly
    distributed over set 1, 2, 2nR(ij)
  • Transmitted symbol _at_ node i x(i)
  • Received symbol _at_ node j y(j)
  • System p(y(1), y(2), , y(m) x(1) x(2) x(m))
  • Encoder
  • xk(i) Xk(i)(W(i1), W(i2), , W(im),
    Y1(i), Y2(i),,Y(k-1)(i))
  • Decoder
  • Wk(ij) (Y1(j), Y2(j),,Y(n)(j), W(j1),
    W(j2), , W(jm))

5
Multiple Sources
  • Divide the set of notes into two subsets S and
    its complement Sc.
  • Rate R(ij) is achievable if Pe(n) (ij) ? 0 as n ?
    8
  • Theorem If information rates R(ij) are
    achievable, then ? a distribution p(x(1) x(2)
    x(m)) such that

6
Proof (Key Steps)
nen (Fano)
7
Proof (Key Steps)
Conditioning reduces entropy
Depends on Y1Sc. Y1Sc and WTc only
8
MAC
Cut 1
  • Cut 1 S 1, Sc 2
  • R1 I(X1 Y X2)
  • Cut 2 S 1, Sc 2
  • R2 I(X2 Y X1)
  • Cut 3 S 1, 2 Sc Ø
  • R1 R2 I(X1., X2 Y)

Cut 3
X1
Y
X2
Cut 2
9
Relay Channel
Y1 X1
Cut 2
Cut 1
Y
X
  • Cut 1 C I(X Y1, Y X1)
  • Cut 2 C lt I(X, X1 Y )

10
Two-Way Channel?
X1
X2
Y2
Y1
Cut 1
Cut 2
  • Cut 1 R1 I(X1 Y1 X2)
  • Cut 2 R2 lt I(X2, Y2 X1 )

Inner and outer bounds from independent or
cooperative sources
11
Finally
  • Important this bound may not be achievable
  • Some differences from single user channels
  • source-channel separation theorem is not valid
  • Slepian-Wolf region need not intersect with the
    capacity region
  • feedback can improve the capacity even for
    memory-less channels
  • the feedback channel is a channel of its own
Write a Comment
User Comments (0)
About PowerShow.com