An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems

Heath, Robert W.; González–Prelcic, Nuria; Rangan, Sundeep; Roh, Wonil; Sayeed, A.M.

doi:10.1109/jstsp.2016.2523924

Cited by 2,500 publications

(1,902 citation statements)

References 147 publications

(246 reference statements)

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“…The net result seems to be a reduction in the number of active scatterers [54], i.e., a sparsification of the channel. The additional pathloss can be overcome, e.g., by increasing the number of UE antennas [39]. The impact of a reduction in the number of scatterers depends, however, on the positions of the UEs and of the remaining scatterers.…”

Section: F On the Applicability Of The Results To Mm-wave Bandsmentioning

confidence: 99%

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Massive MIMO Performance—TDD Versus FDD: What Do Measurements Say?

Flordelis

Rusek

Tufvesson

et al. 2018

IEEE Trans. Wireless Commun.

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Abstract-Downlink beamforming in Massive MIMO either relies on uplink pilot measurements-exploiting reciprocity and time-division duplexing (TDD) operation, or on the use of a predetermined grid of beams with user equipments reporting their preferred beams, mostly in frequency-division duplexing (FDD) operation. Massive MIMO in its originally conceived form uses the first strategy, with uplink pilots, whereas there is currently significant commercial interest in the second, gridof-beams. It has been analytically shown that with isotropic scattering (independent Rayleigh fading) the first approach outperforms the second. Nevertheless, there remains controversy regarding their relative performance in practical channels. In this contribution, the performances of these two strategies are compared using measured channel data at 2.6 GHz.

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Section: F On the Applicability Of The Results To Mm-wave Bandsmentioning

confidence: 99%

“…2. Other constraints on B leading to simplifications of the analog hardware are possible; the reader is referred to [22], [39] for a comprehensive survey of the field.…”

Section: B Feedback-based Fdd Beamforming With Predetermined Beamsmentioning

confidence: 99%

Massive MIMO Performance—TDD Versus FDD: What Do Measurements Say?

Flordelis

Rusek

Tufvesson

et al. 2018

IEEE Trans. Wireless Commun.

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“…In a MIMO system, the low SNR capacity gap between one-bit and full resolution ADCs is 1.96 dB. At a high SNR, when channel rank is at least N r , the achievable rate is at most 2 2N r bit·s 1 ·Hz 1 [11] .…”

Section: Solution To Adc Bottle Neckmentioning

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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“…A reduction of the number of RF chains is therefore sought, with a trade-off between spectral efficiency and energy efficiency, as shown in [2]. Also several architectures for the analog stage and for the signal processing have been proposed, see for example [3] for a survey on the signal processing techniques applied to hybrid analog-digital MIMO schemes.…”

Section: Introductionmentioning

confidence: 99%

Design of pre-coding and combining in hybrid analog-digital massive MIMO with phase noise

Corvaja

Armada

Vázquez

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-The design of massive MIMO, especially at millimeter waves, requires a trade-off between cost and power consumption, balancing the complexity and the performance in terms of achievable rate. A recent trend in the design is to split the pre-coding at the transmitter and the combining at the receiver into a digital and analog part, with hybrid analog-digital schemes. In this paper the effect of phase noise is considered in the design of different hybrid analog-digital alternatives to implement massive MIMO, in particular at very high frequencies. Its effect depending on the number of RF chains, oscillators, and groups of antennas is analyzed providing some insights for the system design. In order to limit the penalty introduced by the phase noise to values below 6 dB, with a number of antennas around 64, the value of phase noise increment variance should be limited below 0.005. This limit is slightly lower in a simplified architecture with more blocks driven by independent oscillators. Index Terms-Massive MIMO, hybrid pre-coding and combining MIMO, phase noise.

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An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems

Abstract: Communication at millimeter wave (mmWave) frequencies is defining a new era of wireless com-

Cited by 2,500 publications

References 147 publications

Massive MIMO Performance—TDD Versus FDD: What Do Measurements Say?

Massive MIMO Performance—TDD Versus FDD: What Do Measurements Say?

Millimeter wave receive beamforming with one-bit quantization

Design of pre-coding and combining in hybrid analog-digital massive MIMO with phase noise

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