Spectral Efficiency of Multipair Massive MIMO Two-Way Relaying With Hardware Impairments

Zhang, Jiayi; Xue, Xipeng; Björnson, Emil; Ai, Bo; Jin, Shi

doi:10.1109/lwc.2017.2750162

Cited by 80 publications

(29 citation statements)

References 14 publications

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“…Here, we use the Rayleigh fading to present the severe propagation environment of IoT applications. For a more comprehensive study, the Rician fading [22], [23], as well as the Nakagami fading model [12] can be adopted. Denoting the transmit signal of device i in cluster n by x in , we have…”

Section: System Modelmentioning

confidence: 99%

UAV-Aided MIMO Communications for 5G Internet of Things

Feng

Wang

Chen

et al. 2019

IEEE Internet Things J.

202

112

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Section: System Modelmentioning

confidence: 99%

UAV-Aided MIMO Communications for 5G Internet of Things

Feng

Wang

Chen

et al. 2019

IEEE Internet Things J.

202

112

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show abstract

“…Since H has i.i.d. rows following CN (0, D), where D = diag{β 1 , β 2 , · · · , β K }, H T H * is a K×K central Wishart matrix 4 This approximation is obtained by replacing the G b matrices on the left-hand side by 1 N N n=1 G bn IN . Our simulation results show that this approximation is tight.…”

Section: Appendix a Proof Of Theoremmentioning

confidence: 99%

“…In multi-way relay networks (MWRNs) multiple interfering users communicate simultaneously to exchange messages such that each user multi-casts its message to all other users. Compared to one-way and two-way relaying, multi-way relaying [4]- [7] can significantly reduce the number of time slots for full mutual communications among users which consequently improves the spectral and energy efficiencies. Hence, mMIMO MWRNs, where the relays are equipped with large-scale antenna arrays, benefit from the advantages of both multi-way relaying and mMIMO structures.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Massive MIMO Multi-Way Relays with Low-Resolution ADCs

Rahimian

Jing

Ardakani

2019

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

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High power consumption and hardware cost are two barriers for practical massive multiple-input multiple-output (mMIMO) systems. A promising solution is to employ low-resolution analog-to-digital converters (ADCs). In this paper, we consider a general mMIMO multi-way relaying system with a multi-level mixed-ADC architecture, in which each antenna is connected to an ADC pair of an arbitrary resolution. By leveraging on Bussgang's decomposition theorem and Lloyd-Max algorithm for quantization, tight closed-form approximations are derived for the average achievable rates of zeroforcing (ZF) relaying considering both perfect and imperfect channel state information (CSI). To conquer the challenges caused by multi-way relaying, the complicated ZF beam-forming matrix, and the general mixed-ADC structure, we develop a novel method for the achievable rate analysis using the singularvalue decomposition (SVD) for Gaussian matrices, distributions of the singular values of Gaussian matrices, and properties of Haar matrices. The results explicitly show the achievable rate behavior in terms of the user and relay transmit powers and the numbers of relay antennas and users. Most importantly, it quantifies the performance degradation caused by low-resolution ADCs and channel estimation error. We demonstrate that the average achievable rate has an almost linear relation with the square of the average of quantization coefficients pertaining to the ADC resolution profile. In addition, in the medium to high SNR region, the ADC resolutions have more significant effect on the rate compared to the number of antennas. Our work reveals that the performance gap between the perfect and imperfect CSI cases increases as the average ADC resolution increases. For more insights, simplified achievable rate expressions for asymptotic cases and the uniform-ADC case are obtained. Numerical results verify that the theoretical results can accurately predict the performance of the considered system. Part of this work on the performance analysis of mMIMO multi-way relay networks with low-resolution uniform-ADC structures has been presented at

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“…On the other hand, relaying is an important way of extending coverage and providing uniform service. The inter-user interference of the multiuser relaying system can be suppressed by equipping the relay with a large number of antennas [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

Mixed-ADC/DAC Multipair Massive MIMO Relaying Systems: Performance Analysis and Power Optimization

Zhang

Dai

et al. 2019

IEEE Trans. Commun.

Self Cite

146

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High power consumption and expensive hardware are two bottlenecks for practical massive multiple-input multipleoutput (mMIMO) systems. One promising solution is to employ low-resolution analog-to-digital converters (ADCs) and digital-toanalog converters (DACs). In this paper, we consider a general multipair mMIMO relaying system with a mixed-ADC/DAC architecture, in which some antennas are connected to lowresolution ADCs/DACs, while the rest of the antennas are connected to high-resolution ADCs/DACs. Leveraging on the additive quantization noise model, both exact and approximate closed-form expressions for the achievable rate are derived. It is shown that the achievable rate can approach the unquantized one by using only 2-3 bits of resolutions. Moreover, a power scaling law is presented to reveal that the transmit power can be scaled down inversely proportional to the number of antennas at the relay. We further propose an efficient power allocation scheme by solving a complementary geometric programming problem. In addition, a trade-off between the achievable rate and power consumption for different numbers of low-resolution ADCs/DACs is investigated by deriving the energy efficiency. Our results reveal that the large antenna array can be exploited to enable the mixed-ADC/DAC architecture, which significantly reduces the power consumption and hardware cost for practical mMIMO systems.Index Terms-Massive MIMO, multipair relay, mixed-ADC/DAC, achievable rate, energy efficiency.

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Spectral Efficiency of Multipair Massive MIMO Two-Way Relaying With Hardware Impairments

Cited by 80 publications

References 14 publications

UAV-Aided MIMO Communications for 5G Internet of Things

UAV-Aided MIMO Communications for 5G Internet of Things

Performance Analysis of Massive MIMO Multi-Way Relays with Low-Resolution ADCs

Mixed-ADC/DAC Multipair Massive MIMO Relaying Systems: Performance Analysis and Power Optimization

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