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Advances in Network Information Theory [Kõva köide]

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This book is a collection of articles written by leading researchers in information theory stemming from the DIMACS Workshop on Network Information held at Rutgers University (Piscataway, NJ). The articles focus on problems concerning efficient and reliable communication in multi-terminal settings. Information theory has recently attracted renewed attention because of key developments spawning challenging research problems. The material is divided into four parts: 'Information Theory for Sources', which concentrates on network source coding problems; 'Information Theory for Channels', where channels, rather than sources, are central to the problem; 'Information Theory for Sources and Channels', which addresses both source and channel coding; and 'Coding', which deals with more practical issues.Mathematicians using applications such as wireless cellular and LAN data services, ad hoc networks and sensor networks will benefit from the developments outlined in these sections. The book is suitable for graduate students and research mathematicians interested in communications and network information theory.
Foreword vii
Preface ix
Part I. Information Theory for Sources
Source Coding and Parallel Routing
3(22)
A. Faridi
K. Sayrafian-Pour
M. Alasti
A. Ephremides
Compressing a Representation of Events in a Concurrent System
25(18)
S.A. Savari
Sum Rate of a Class of Multiterminal Gaussian Source Coding Problems
43(18)
P. Viswanath
Coding Theorems for Reversible Embedding
61(18)
F.M.J. Willems
T. Kalker
Part II. Information Theory for Channels
Unbounded Loss in Writing on Dirty Paper is Possible
79(8)
A.S. Cohen
R. Zamir
A Game-theoretic Look at the Gaussian Multiaccess Channel
87(20)
R.J. La
V. Anantharam
Bounds on the Sum Timing Capacity of Single-server Queues with Multiple Input and Output Terminals
107(20)
X. Liu
R. Srikant
Job Scheduling and Multiple Access
127(12)
S. Raj
E. Telatar
D. Tse
Fading Gaussian Broadcast Channels with State Information at the Receivers
139(12)
D. Tuninetti
S. Shamai
Wireless Network Information Theory
151(8)
L.-L. Xie
P.R. Kumar
The Structure of Least-Favorable Noise in Gaussian Vector Broadcast Channels
159(16)
W. Yu
Part III. Information Theory for Sources and Channels
Coding Theorems for the Sensor Reachback Problem with Partially Cooperating Nodes
175(22)
J. Barros
S.D. Servetto
Linear Network Codes: A Unified Framework for Source, Channel, and Network Coding
197(20)
M. Effros
M. Medard
T. Ho
S. Ray
D. Karger
R. Koetter
B. Hassibi
On Source-Channel Communication in Networks
217(22)
M. Gastpar
Duality in Multi-user Source and Channel Coding
239(24)
S.S. Pradhan
K. Ramchandran
Part IV. Coding
Noiseless Data Compression with Low-Density Parity-Check Codes
263(22)
G. Caire
S. Shamai
S. Verdu
Diversity Embedding in Multiple Antenna Communications
285(18)
S.N. Diggavi
N. Al-Dhahir
A.R. Calderbank
Cooperative Communication in Wireless Systems
303(18)
E. Erkip
A. Sendonaris
A. Stefanov
B. Aazhang
Hybrid ARQ with Random Transmission Assignments
321(14)
E. Soljanin
R. Liu
P. Spasojevic
An Information-Theoretic Approach to Bit-Stuffing for Network Protocols
335
J.K. Wolf