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Journal ArticleDOI

A vector-perturbation technique for near-capacity multiantenna multiuser communication-part II: perturbation

TLDR
A simple encoding algorithm is introduced that achieves near-capacity at sum-rates of tens of bits/channel use and a certain perturbation of the data using a "sphere encoder" can be chosen to further reduce the energy of the transmitted signal.
Abstract
Recent theoretical results describing the sum-capacity when using multiple antennas to communicate with multiple users in a known rich scattering environment have not yet been followed with practical transmission schemes that achieve this capacity. We introduce a simple encoding algorithm that achieves near-capacity at sum-rates of tens of bits/channel use. The algorithm is a variation on channel inversion that regularizes the inverse and uses a "sphere encoder" to perturb the data to reduce the energy of the transmitted signal. The paper is comprised of two parts. In this second part, we show that, after the regularization of the channel inverse introduced in the first part, a certain perturbation of the data using a "sphere encoder" can be chosen to further reduce the energy of the transmitted signal. The performance difference with and without this perturbation is shown to be dramatic. With the perturbation, we achieve excellent performance at all signal-to-noise ratios. The results of both uncoded and turbo-coded simulations are presented.

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Citations
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Journal ArticleDOI

Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays

TL;DR: The gains in multiuser systems are even more impressive, because such systems offer the possibility to transmit simultaneously to several users and the flexibility to select what users to schedule for reception at any given point in time.
Journal ArticleDOI

An Overview of Massive MIMO: Benefits and Challenges

TL;DR: This paper addresses the potential impact of pilot contamination caused by the use of non-orthogonal pilot sequences by users in adjacent cells, and analyzes the energy efficiency and degrees of freedom provided by massive MIMO systems to enable efficient single-carrier transmission.
Journal ArticleDOI

A vector-perturbation technique for near-capacity multiantenna multiuser communication-part I: channel inversion and regularization

TL;DR: A simple encoding algorithm is introduced that achieves near-capacity at sum rates of tens of bits/channel use and regularization is introduced to improve the condition of the inverse and maximize the signal-to-interference-plus-noise ratio at the receivers.
Journal ArticleDOI

Pilot Contamination and Precoding in Multi-Cell TDD Systems

TL;DR: The paper shows that the precoding matrix used by the base station in one cell becomes corrupted by the channel between that base station and the users in other cells in an undesirable manner and develops a new multi-cell MMSE-based precoding method that mitigates this problem.
Journal ArticleDOI

Shifting the MIMO Paradigm

TL;DR: Multi-user MIMO (MU-MIMO) networks reveal the unique opportunities arising from a joint optimization of antenna combining techniques with resource allocation protocols, and brings robustness with respect to multipath richness, yielding the diversity and multiplexing gains without the need for multiple antenna user terminals.
References
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Journal ArticleDOI

Writing on dirty paper (Corresp.)

TL;DR: It is shown that the optimal transmitter adapts its signal to the state S rather than attempting to cancel it, which is also the capacity of a standard Gaussian channel with signal-to-noise power ratio P/N.
Journal ArticleDOI

Factoring Polynomials with Rational Coefficients

TL;DR: This paper presents a polynomial-time algorithm to solve the following problem: given a non-zeroPolynomial fe Q(X) in one variable with rational coefficients, find the decomposition of f into irreducible factors in Q (X).

Factoring polynomials with rational coeficients

TL;DR: In this paper, a polynomial-time algorithm was proposed to decompose a primitive polynomials into irreducible factors in Z(X) if the greatest common divisor of its coefficients is 1.
Journal ArticleDOI

On the achievable throughput of a multiantenna Gaussian broadcast channel

TL;DR: Under certain mild conditions, this scheme is found to be throughput-wise asymptotically optimal for both high and low signal-to-noise ratio (SNR), and some numerical results are provided for the ergodic throughput of the simplified zero-forcing scheme in independent Rayleigh fading.
Journal ArticleDOI

Achieving near-capacity on a multiple-antenna channel

TL;DR: This work provides a simple method to iteratively detect and decode any linear space-time mapping combined with any channel code that can be decoded using so-called "soft" inputs and outputs and shows that excellent performance at very high data rates can be attained with either.
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