Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays

@article{Rusek2013ScalingUM,
  title={Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays},
  author={Fredrik Rusek and Daniel Persson and Buon Kiong Lau and Erik G. Larsson and Thomas L. Marzetta and Ove Edfors and Fredrik Tufvesson},
  journal={IEEE Signal Processing Magazine},
  year={2013},
  volume={30},
  pages={40-60}
}
Multiple-input multiple-output (MIMO) technology is maturing and is being incorporated into emerging wireless broadband standards like long-term evolution (LTE) [1. [] Key Result 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 [2].

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References

SHOWING 1-10 OF 76 REFERENCES
Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas
  • G. Foschini
  • Computer Science
    Bell Labs Technical Journal
  • 1996
TLDR
This paper addresses digital communication in a Rayleigh fading environment when the channel characteristic is unknown at the transmitter but is known (tracked) at the receiver with the aim of leveraging the already highly developed 1-D codec technology.
Space-Time Multiple Access: Linear Growth in the Sum Rate
TLDR
Channel-hardening arguments show that a “channel-inversion” technique used in point-to-point multiple-antenna links achieves a large fraction of this linear growth in a multi-user environment without excessive transmitter power.
Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas
  • T. Marzetta
  • Business
    IEEE Transactions on Wireless Communications
  • 2010
TLDR
A cellular base station serves a multiplicity of single-antenna terminals over the same time-frequency interval and a complete multi-cellular analysis yields a number of mathematically exact conclusions and points to a desirable direction towards which cellular wireless could evolve.
On the asymptotic capacity of MIMO systems with antenna arrays of fixed length
TLDR
For many channel correlation structures, it is demonstrated that the asymptotic performance converges almost surely, implying that such MEA systems have a certain strong robustness to the instantiation of the channel fading values.
A stochastic MIMO radio channel model with experimental validation
TLDR
A simple stochastic MIMO model channel has been developed that uses the correlation matrices at the mobile station (MS) and base station (BS) so that results of the numerous single-input/multiple-output studies that have been published in the literature can be used as input parameters.
Multiple antenna terminals
Fixing the Complexity of the Sphere Decoder for MIMO Detection
TLDR
A new detection algorithm for uncoded multiple input-multiple output (MIMO) systems based on the complex version of the sphere decoder (SD) is presented, overcoming the two main problems of the SD from an implementation point of view: its variable complexity and its sequential nature.
MIMO Detection Methods: How They Work [Lecture Notes]
  • E. Larsson
  • Business
    IEEE Signal Processing Magazine
  • 2009
TLDR
An overview of approaches for detection for MIMO, in the communications receiver context, finds that notions that are important in slow fading are less important in fast fading, where diversity is provided anyway by time variations.
Block-iterative generalized decision feedback equalizers for large MIMO systems: algorithm design and asymptotic performance analysis
TLDR
A block-iterative generalized decision feedback equalization (BI-GDFE) receiver to recover the transmitted symbols in a block- iterative manner to solve the problem of signal detection for multiple-input multiple-output (MIMO) channels with large signal dimensions.
A vector-perturbation technique for near-capacity multiantenna multiuser communication-part I: channel inversion and regularization
TLDR
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.
...
...