Capacity and lattice strategies for canceling known interference

By Uri Erez, Shlomo Shamai, Ram Zamir. IEEE Transactions on Information Theory, 2005

488 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Electrical and Electronic Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/e8c59beb0e149489b510cc37a7fff851ddc98c5b

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Citations in the corpus

A vector-perturbation technique for near-capacity multiantenna multiuser communication-part II: perturbation (2005, background): “Decoding occurs at user based on [18], [24]”
An introduction to the multi-user MIMO downlink (2004, methodology): “Extensions to this approach include use of the lattice techniques for dirty paper coding introduced in [ 10 ].”
Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design (2008, methodology): “However, practical techniques to implement DPC [3], [4], [5], are in preliminary states of development and are dif ﬁ cult to implement in practice because of their high computational burden.”
Multi-Cell MIMO Cooperative Networks: A New Look at Interference (2010, unknown): “, [126], [127]).”
Scalar Costa scheme for information embedding (2003, background): “tion with side information have recently gained some attention within multiuser communications [20]–[22].”
Precoding in multiantenna and multiuser communications (2004, methodology): “Additionally we note that in case of low-rate transmission, precoding according to an MMSE criterion [13] and regarding the properties of so-called modulo channels [22] offers some additional gains.”
On the achievable throughput of a multiantenna Gaussian broadcast channel (2003, methodology): “As an immediate consequence of [32], [41], we have that the resulting throughput is given by”
A close-to-capacity dirty paper coding scheme (2004, methodology): “Mod Λ–channel [1]: The channel from v to Y defined by (1),(8) and (9) is equivalent in distribution to the mod–Λ channel”
Hybrid Block Diagonalization for Massive Multiuser MIMO Systems (2015, background): “In the massive multiuser MIMO (MU-MIMO) systems, some simple linear pre/post-processing (transmi t precoding/receive combining) schemes, such as zero-forcing ( ZF) and linear minimum mean-square error (MMSE), are able to approach the optimal capacity performance achieved by the dirty paper coding (D”
On the duality of Gaussian multiple-access and broadcast channels (2002, background): “Then the codeword of the next weakest user is selected, but since the weakest user’s codeword is already known, it can be pre-subtracted (using dirty paper coding [10] or coding for known interference techniques [11]) such that the second receiver does not experience any interference from the signal”