Capacity Analysis of One-Bit Quantized MIMO Systems With Transmitter Channel State Information

Mo, Jianhua; Heath, Robert W.

doi:10.1109/tsp.2015.2455527

Cited by 395 publications

(368 citation statements)

References 55 publications

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“…An extension to fading channels in the limiting regime of 1-bit ADCs for the case of both no CSI and of CSI available only at the receiver was provided in [13]- [15]. The case of full CSI at both the transmitter and receiver has been analyzed recently in [16]. In the low-SNR regime, it was shown in [17] that a zero-threshold comparator is not optimal for 1-bit ADCs.…”

Section: B Relevant Prior Artmentioning

confidence: 99%

Quantized Massive MU-MIMO-OFDM Uplink

Studer

Durisi

2016

IEEE Trans. Commun.

229

223

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Abstract-Coarse quantization at the base station (BS) of a massive multi-user (MU) multiple-input multiple-output (MIMO) wireless system promises significant power and cost savings. Coarse quantization also enables significant reductions of the raw analog-to-digital converter (ADC) data that must be transferred from a spatially-separated antenna array to the baseband processing unit. The theoretical limits as well as practical transceiver algorithms for such quantized MU-MIMO systems operating over frequency-flat, narrowband channels have been studied extensively. However, the practically relevant scenario where such communication systems operate over frequency-selective, wideband channels is less well understood. This paper investigates the uplink performance of a quantized massive MU-MIMO system that deploys orthogonal frequency-division multiplexing (OFDM) for wideband communication. We propose new algorithms for quantized maximum a-posteriori (MAP) channel estimation and data detection, and we study the associated performance/quantization trade-offs. Our results demonstrate that coarse quantization (e.g., four to six bits, depending on the ratio between the number of BS antennas and the number of users) in massive MU-MIMO-OFDM systems entails virtually no performance loss compared to the infinite-precision case at no additional cost in terms of baseband processing complexity.Index Terms-Analog-to-digital conversion, convex optimization, forward-backward splitting (FBS), frequency-selective channels, massive multi-user multiple-input multiple-output (MU-MIMO), maximum a-posteriori (MAP) channel estimation, minimum mean-square error (MMSE) data detection, orthogonal frequency-division multiplexing (OFDM), quantization.

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Section: B Relevant Prior Artmentioning

confidence: 99%

Quantized Massive MU-MIMO-OFDM Uplink

Studer

Durisi

2016

IEEE Trans. Commun.

229

223

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“…In a conventional antenna-array system, multiple ADCs are needed to quantize the received signal. In a system configured with a great number of high-resolution, high-sampling rate ADCs, the power consumption Thus, the power consumption grows exponentially with the resolution [4] . A direct solution is to use lowresolution ADCs (in particular, one-bit ADC), which reduce the power consumption and cost.…”

Section: Vxdoo\ Whqv Ru Kxqguhgv Ri Dqwhqqdv Duh Frq¿jxuhgmentioning

confidence: 99%

Millimeter wave receive beamforming with one-bit quantization

Tang

Wang

Zhang

et al. 2016

J. Commun. Inf. Netw.

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Nowadays, the increase amounts of mobile data has resulted in great demand on existing communication networks.The millimeter-wave band offers large bandwidths to be exploited, which eases the spectrum crunch for bands below 3 GHz. In order to mitigate the path loss from high frequencies, a large antenna array and beamforming technology are adopted to increase the link gain. However, a challenge arises from the new band. Given the order of gigahertz bandwidth and the high sampling rate, the high-resolution ADC (Analog-to-Digital Converter) used in the large array creates a power consumption bottleneck.One solution is to use a low-resolution ADC to replace the full-precision ADC. In this paper, we propose a mixed LMS (Least

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“…As complementary works, [5] and [6] study the achievable MIMO downlink rates for high and low SNR regimes, respectively, where the receivers deploy highly energy-efficient 1-bit ADCs. Regarding the signal processing and waveform aspects of massive MIMO BSs, [7] proposes constant-envelope waveform design, enabling the use of energy-efficient non-linear power amplifiers.…”

Section: Introductionmentioning

confidence: 99%

Waveform design for massive MISO downlink with energy-efficient receivers adopting 1-bit ADCs

Gokceoglu

Björnson

Larsson

et al. 2016

2016 IEEE International Conference on Communications (ICC)

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The self-archived postprint version of this conference article is available at Linköping University Institutional Repository (DiVA): http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-134225 N.B.: When citing this work, cite the original publication. Gokceoglu, A., Björnson, E., Larsson, E. G, Valkama, M., (2016) Abstract-In high-density low-bitrate Internet-of-Things (IoT) use case of 5G networks, the terminals and sensors are to be of extremely low-cost and low energy-consuming. Typically, the analog-to-digital converters (ADCs) dominate the power-budget of receiver chains, in particular if the quantization resolution is high. Hence, receiver architectures deploying 1-bit ADCs are of high interest towards realizing low-cost, high energy-efficiency device solutions. In this paper, we study the waveform design and optimization for a narrowband low-bitrate massive MISO downlink targeting to achieve rates higher than 1 bits/sec (per real-dimension) where the terminal receivers adopt only simple 1-bit quantization (per real-dimension ) with oversampling. In this respect, first we show that for a particular precoder structure, the overall link is equivalent to that of an AWGN SISO with controlled intersymbol interference (ISI). The filter design problem for generating the desired ISI in such SISO links has been studied in previous works, however, the only known method in literature is a computationally demanding brute force search method. As a novel contribution, we develop models and tools that elaborate on the conditions to be satisfied for unique detection and existence of solution for the filter coefficients. Then, as a concrete example, the developed models and tools are utilized to show that in the absence of noise, five-times oversampling is required for unique detection of 16-QAM input alphabet. Building on these findings, we then develop novel algorithms that can efficiently design the filter coefficients. Examples and simulations are provided to elaborate on filter coefficient design and optimization, and to illustrate good SER performance of the MISO link with 1-bit receiver even at SNRs down to 5 dB.

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Capacity Analysis of One-Bit Quantized MIMO Systems With Transmitter Channel State Information

Cited by 395 publications

References 55 publications

Quantized Massive MU-MIMO-OFDM Uplink

Quantized Massive MU-MIMO-OFDM Uplink

Millimeter wave receive beamforming with one-bit quantization

Waveform design for massive MISO downlink with energy-efficient receivers adopting 1-bit ADCs

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