Title :
Nested linear/lattice codes for structured multiterminal binning
Author :
Zamir, Ram ; Shamai, Shlomo ; Erez, Uri
Author_Institution :
Dept. of Electr. Eng.-Syst., Tel Aviv Univ., Israel
fDate :
6/1/2002 12:00:00 AM
Abstract :
Network information theory promises high gains over simple point-to-point communication techniques, at the cost of higher complexity. However, lack of structured coding schemes limited the practical application of these concepts so far. One of the basic elements of a network code is the binning scheme. Wyner (1974, 1978) and other researchers proposed various forms of coset codes for efficient binning, yet these schemes were applicable only for lossless source (or noiseless channel) network coding. To extend the algebraic binning approach to lossy source (or noisy channel) network coding, previous work proposed the idea of nested codes, or more specifically, nested parity-check codes for the binary case and nested lattices in the continuous case. These ideas connect network information theory with the rich areas of linear codes and lattice codes, and have strong potential for practical applications. We review these developments and explore their tight relation to concepts such as combined shaping and precoding, coding for memories with defects, and digital watermarking. We also propose a few novel applications adhering to a unified approach
Keywords :
AWGN channels; MIMO systems; channel coding; copy protection; data compression; decoding; dispersive channels; error detection codes; linear codes; probability; reviews; source coding; telecommunication networks; AWGN channel coding; MIMO Gaussian channels; algebraic binning; binary case; continuous case; coset codes; defects; digital watermarking; dispersive Gaussian channels; lattice codes; linear codes; lossless source network coding; lossy source network coding; memories; multiple-input-multiple-output Gaussian channels; multiterminal communication; nested codes; nested linear/lattice codes; nested parity-check codes; network information theory; noiseless channel; noisy channel; noisy side information; point-to-point communication; precoding; probabilistic decoding; shaping; structured coding; structured multiterminal binning; Associate members; Costs; Error correction codes; Information theory; Lattices; Linear code; Network coding; Parity check codes; Random access memory; Watermarking;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2002.1003821