Challenges in Coding for Quantized MIMO Systems

Ivrlač, Michel T.; Nossek, Josef A.

doi:10.1109/isit.2006.261924

Cited by 37 publications

(33 citation statements)

References 2 publications

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“…The architecture also simplifies the overall complexity of the circuit for example automatic gain control may not be required [6]. Several aspects of one-bit ADCs have been investigated in prior work including the loss of the channel capacity [7]- [10], channel estimation [11], [12], synchronization [13], and MIMO channels with one-bit ADCs [14]- [17].…”

Section: Introductionmentioning

confidence: 99%

High SNR capacity of millimeter wave MIMO systems with one-bit quantization

Heath

2014

2014 Information Theory and Applications Workshop (ITA)

121

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Abstract-Millimeter wave (mmWave) is a viable technology for future cellular systems. With bandwidths on the order of a gigahertz, high-resolution analog-to-digital converters (ADCs) become a power consumption bottleneck. One solution is to employ very low resolution one-bit ADCs. This paper analyzes the flat fading multiple-input multiple-output (MIMO) channel with one-bit ADC. Bounds on the high signal-to-noise ratio (SNR) capacity are derived for the single-input multiple-output (SIMO) channel and the general MIMO channel. The results show how the number of paths, number of transmit antennas, and number of receive antennas impact the capacity at high SNR.

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Section: Introductionmentioning

confidence: 99%

High SNR capacity of millimeter wave MIMO systems with one-bit quantization

Heath

2014

2014 Information Theory and Applications Workshop (ITA)

121

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“…Since conditioning reduces entropy, we obtain inequality (31). On the other hand, the second term in (31) is upper bounded by the entropy of a Gaussian random variable whose covariance is equal to the error covariance matrix R εε of the linear MMSE estimate of x.…”

Section: Lower Bound On the Mutual Information And The Capacitymentioning

confidence: 95%

“…This effect has greater influence as the transfer data rate increases and the circuit dimensions decrease. In order to be able to develop coding techniques for reducing the detrimental effects of intersymbol interference, an efficient and precise method for calculating the impulse response of the interconnect is required [31]. In [7] a quasi-analytical method was applied for computing the impulse response of a digital interconnection bus.…”

Section: Symmetry Planementioning

confidence: 99%

“…Even though linear block and convolution coding schemes are favorable candidates for error correction, they are not able to decrease power consumption and eliminate the residual error floor caused by the crosstalk even in the noiseless case [31]. This is due to their structural properties (linear codes) and the coarse quantization of the channel.…”

Section: Code-designmentioning

confidence: 99%

See 1 more Smart Citation

Chip-to-Chip and On-Chip Communications

Nossek¹,

Russer²,

Noll³

et al. 2013

Ultra-Wideband Radio Technologies for Communications, Localization and Sensor Applications

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“…The use of one-bit ADCs in massive MIMO, was initially studied in [15]. The use of onebit ADCs had previously also been studied for MIMO systems in, e.g., [16,17] and for millimeter wave MIMO systems in, e.g., [18]. The feasibility of one-bit ADCs, in terms of achievable rate, was studied in [17], where it was shown that one-bit ADCs only lead to a small capacity reduction in a MIMO system at high noise levels, and in [19], where it was shown that the capacity at low noise levels is very high and scales linearly with the number of receive antennas.…”

Section: Massive Mimomentioning

confidence: 99%

On Massive MIMO Base Stations with Low-End Hardware

Mollén¹

2016

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Massive MIMO (Multiple-Input Multiple-Output) base stations have proven, both in theory and in practice, to possess many of the qualities that future wireless communication systems will require. They can provide equally high data rates throughout their coverage area and can concurrently serve multiple low-end handsets without requiring wider spectrum, denser base station deployment or significantly more power than current base stations. The main challenge of massive MIMO is the immense hardware complexity and cost of the base station-each element in the large antenna array needs to be individually controllable and therefore requires its own radio chain. To make massive MIMO commercially viable, the base station has to be built from inexpensive simple hardware. In this thesis, it is investigated how the use of low-end power amplifiers and analog-to-digital converters (ADCs) affects the performance of massive MIMO. In the study of the signal distortion from low-end amplifiers, it is shown that in-band distortion is negligible in massive MIMO and that out-of-band radiation is the limiting factor that decides what power efficiency the amplifiers can be operated at. A precoder that produces transmit signals for the downlink with constant envelope in continuous time is presented to allow for highly power efficient low-end amplifiers. Further, it is found that the out-of-band radiation is isotropic when the channel is frequency selective and when multiple users are served; and that it can be beamformed when the channel is frequency flat and when few users are served. Since a massive MIMO base station radiates less power than today's base stations, isotropic out-of-band radiation means that low-end hardware with poorer linearity than required today can be used in massive MIMO. It is also shown that using one-bit ADCs-the simplest and least power-hungry ADCs-at the base station only degrades the signal-to-interference-and-noise ratio of the system by approximately 4 dB when proper power allocation among users is done, which indicates that massive MIMO is resistant against coarse quantization and that low-end ADCs can be used.iii iv SammanfattningMassiv-MIMO-basstationer (eng: Multiple-Input Multiple-Output) har visats, både i teori och praktik, besitta många av de egenskaper som framtida trådlösa kommunikationssystem kommer att behöva. De kan tillhandahålla enhetligt höga datatakter i hela täckningsområdet och simultant betjäna flera enkla mobilenheter utan att använda bredare spektrum, tätare basstationsplacering eller betydligt mer effekt än dagens basstationer. Huvudutmaningen med massiv MIMO är basstationens enorma hårdvarukomplex-itet och -kostnad -varje element i den stora gruppantennen skall kunna kontrolleras individuellt och kräver sålunda sin egen radiokedja. För att massiv MIMO skall bli kommersiellt attraktiv, måste basstationen byggas av billig, enkel hårdvara. I denna avhandling undersöks hur enkla effektförstärkare och analog-till-digital-omvandlare (AD-omvandlare) påverkar massiv-MIMO-systemets pr...

show abstract

Challenges in Coding for Quantized MIMO Systems

Cited by 37 publications

References 2 publications

High SNR capacity of millimeter wave MIMO systems with one-bit quantization

High SNR capacity of millimeter wave MIMO systems with one-bit quantization

Chip-to-Chip and On-Chip Communications

On Massive MIMO Base Stations with Low-End Hardware

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