On the Capacity of MISO Channels With One-Bit ADCs and DACs

Nam, Yunseo; Do, Heedong; Jeon, Yo-Seb; Lee, Namyoon

doi:10.1109/jsac.2019.2929427

Cited by 20 publications

(17 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By the same token, for every transmit vector giving rise to a specific value of y there are three rotated transmit vectors (the other members of the quartet) that give rise to the other possible values of y with equal probability. Consequently, and irrespective of the channel realization, y takes the four values ±1 ± j equiprobably; again, this intuition is formalized in [17].…”

Section: Transmit Beamformingmentioning

confidence: 93%

“…From such general starting point, it was proposed in [11] to determining those beamforming vectors on the basis of minimizing the uncoded bit error probability. More fundamentally, though, the beamforming vectors should be determined on the basis of maximizing the mutual information [17]. At low SNR, this is tantamount to maximizing the received power, and efficient ways have been put forth to identify the corresponding vectors [19].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Terahertz Transmit Beamforming with 1-Bit DACs and ADCs

Nikbakht

Lozano

2021

2021 29th European Signal Processing Conference (EUSIPCO)

View full text Add to dashboard Cite

This paper tackles the problem of transmit beamforming with 1-bit digital-to-analog and analog-todigital converters. While, at frequencies above 100 GHz, such 1-bit converters are instrumental to restrain the power consumption and enable transmissions spanning many gigahertz of bandwidth, they fundamentally alter the nature of the communication problem. Transmit beamforming, a key task when communicating at these high frequencies, then amounts to identifying the quartet of channel-dependent transmit vectors that maximizes the mutual information. This problem, which becomes unwieldy for even modest numbers of antennas, is herein tackled by means of an unsupervised learning approach that proves effective for very large arrays.

show abstract

Section: Transmit Beamformingmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Terahertz Transmit Beamforming with 1-Bit DACs and ADCs

Nikbakht

Lozano

2021

2021 29th European Signal Processing Conference (EUSIPCO)

View full text Add to dashboard Cite

show abstract

“…For N t = 1, a single quartet is available for transmission and, by virtue of its four equiprobable constituent vectors, C ∞ (H) = 2. For N t > 1 and N r = 1, it can be verified that ( 24) is maximized when a single quartet is activated, depending on H [57]. Again, C ∞ (H) = 2.…”

Section: B Intermediate Snrmentioning

confidence: 95%

1-Bit MIMO for Terahertz Channels

Lozano¹

2021

Preprint

View full text Add to dashboard Cite

This paper tackles the problem of single-user multiple-input multiple-output communication with 1-bit digital-to-analog and analog-to-digital converters. With the information-theoretic capacity as benchmark, the complementary strategies of beamforming and equiprobable signaling are contrasted in the regimes of operational interest, and the ensuing spectral efficiencies are characterized. Various canonical channel types are considered, with emphasis on line-of-sight settings under both spherical and planar wavefronts, respectively representative of short and long transmission ranges at mmWave and terahertz frequencies. In all cases, a judicious combination of beamforming and equiprobable signaling is shown to operate within a modest gap from capacity.

show abstract

“…Achievable rates in [21] are provided only for the SIMO channel and only in the asymptotic case of low SNRs. Finally, in [22], the capacity of a massive multiple-input singleoutput (MISO) channel with 1-bit transceivers is investigated, where perfect CSI is available at both the transmitter and the receiver. The main finding in [22] is that capacity achieving strategy is to uniformly use multi-dimensional constellation points.…”

Section: B Related Workmentioning

confidence: 99%

Asymptotic Capacity of Massive MIMO With 1-Bit ADCs and 1-Bit DACs at the Receiver and at the Transmitter

Bazrafkan

Zlatanov

2020

IEEE Access

View full text Add to dashboard Cite

In this paper, we investigate the capacity of massive multiple-input multiple-output (MIMO) systems corrupted by complex-valued additive white Gaussian noise (AWGN) when both the transmitter and the receiver employ 1-bit digital-to-analog converters (DACs) and 1-bit analog-to-digital-converters (ADCs). As a result of 1-bit DACs and ADCs, the transmitted and received symbols, as well as the transmit-and receive-side noisy channel state information (CSI) are assumed to be quantized to 1-bit of information. The derived results, applicable to both single-user and multi-user MIMO, show that the capacity of the considered massive MIMO system is 2N and 2M bits per channel use when N is fixed and M goes to infinity and when M is fixed and N goes to infinity, respectively, where M and N denote the number of transmit and receive antennas, respectively. These coincide with the respective capacities with full and noise-free CSI at both the transmitter and the receiver. In both cases, we showed that the derived capacities can be achieved with noisy 1-bit CSI at the massive-side and without any CSI at the other end. Moreover, we showed that the capacity can be achieved in one channel use without employing channel coding, which results in a latency of one channel use.

show abstract

On the Capacity of MISO Channels With One-Bit ADCs and DACs

Cited by 20 publications

References 37 publications

Terahertz Transmit Beamforming with 1-Bit DACs and ADCs

Terahertz Transmit Beamforming with 1-Bit DACs and ADCs

1-Bit MIMO for Terahertz Channels

Asymptotic Capacity of Massive MIMO With 1-Bit ADCs and 1-Bit DACs at the Receiver and at the Transmitter

Contact Info

Product

Resources

About