Receiver Energy Efficiency and Resolution Profile Design for Massive MIMO Uplink With Mixed ADC

Ding, Qingfeng; Jing, Yindi

doi:10.1109/tvt.2017.2763825

Cited by 30 publications

(42 citation statements)

References 14 publications

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“…where x m and x k are the symbols transmitted from the m th CUE and k th DUE respectively and n is the additive white Gaussian noise with variance σ 2 . Now, owing to the quantization noise from the low resolution ADC the received signal at the BS is given by [24]…”

Section: Ergodic Rate Of the Cuesmentioning

confidence: 99%

Joint power and resource allocation for D2D communication with low-resolution ADC

Srinivasan

Subhash

Kalyani

2019

2019 53rd Asilomar Conference on Signals, Systems, and Computers

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This paper considers the joint power control and resource allocation for a device-to-device (D2D) underlay cellular system with a multi antenna BS employing ADCs with different resolutions. We propose a four step algorithm that optimizes the ADC resolution profile at the base station (BS) to reduce the energy consumption and perform joint power control and resource allocation of D2D communication users (DUEs) and cellular users (CUEs) to improve the D2D reliability.

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Section: Ergodic Rate Of the Cuesmentioning

confidence: 99%

Joint power and resource allocation for D2D communication with low-resolution ADC

Srinivasan

Subhash

Kalyani

2019

2019 53rd Asilomar Conference on Signals, Systems, and Computers

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“…Compared to uniform-ADC and two-level mixed-ADC profiles, the multi-level mixed-ADC structure is more general and provides the system designers with extra degrees-of-freedom for the design and optimization of the system. For example, it enables the achievement of many more optimal points on the trade-off between the achievable rate and energy consumption, as shown in Figure 2 in [25] and Figure 5 in [27]. On the other hand, this general assumption imposes extra complication in performance analysis where existing methods cannot be applied directly.…”

Section: B Contributionsmentioning

confidence: 99%

“…On the other hand, this general assumption imposes extra complication in performance analysis where existing methods cannot be applied directly. Further, there has been no work on the performance analysis of multi-level mixed-ADC structure with ZF beam-forming even for single-hop (uplink) scenarios, as previous studies are limited to MR processing [25], [27]. The complicated ZF beam-forming brings further challenges in the analysis.…”

Section: B Contributionsmentioning

confidence: 99%

“…Further, for the two-level ADC structure the channel state information (CSI) obtainment schemes are proposed in [20]- [24], for example, by using the high-resolution ADCs in a roundrobin manner [20]. Recently, a general multi-level mixed-ADC structure is proposed in [25] that allows multiple ADC levels and arbitrary ADC resolution profile for the large-scale antenna array. It provides more degrees-of-freedom compared to the two-level mixed-ADC and uniform-ADC architectures in achieving the desirable balance between performance and (hardware and energy) cost.…”

Section: Introductionmentioning

confidence: 99%

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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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“…Consequently, in large-scale MIMO systems with a large number of ADCs, the operating power would be enormous with ideal high resolution ADCs. This has motivated to study the use of low resolution ADCs, i.e., ADCs with small numbers of quantization bits [4][5][6][7][8][9][10][11][12]. A proper use of non-uniform ADC resolutions can improve the performances compared to the uniform one [7,8].…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Bit Allocation for Resolution-Adaptive ADC in Multiuser Large-Scale MIMO Systems: Global Optimality

Nguyen

Tran

et al. 2020

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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We consider uplink multiuser wireless communications systems, where the base station (BS) receiver is equipped with a large-scale antenna array and resolution adaptive analog-to-digital converters (ADCs). The aim is to maximize the energy efficiency (EE) at the BS subject to constraints on the users' quality-of-service. The approach is to jointly optimize both the number of quantization bits at the ADCs and the on/off modes of the radio frequency (RF) processing chains. The considered problem is a discrete nonlinear program, the optimal solution of which is difficult to find. We develop an efficient algorithm based on the discrete branch-reduce-and-bound (DBRnB) framework. It finds the globally optimal solutions to the problem. In particular, we make some modifications, which significantly improve the convergence performance. The numerical results demonstrate that optimizing jointly the number of quantization bits and on/off mode can achieve remarkable EE gains compared to only optimizing the number of quantization bits.

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Receiver Energy Efficiency and Resolution Profile Design for Massive MIMO Uplink With Mixed ADC

Cited by 30 publications

References 14 publications

Joint power and resource allocation for D2D communication with low-resolution ADC

Joint power and resource allocation for D2D communication with low-resolution ADC

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

Energy-Efficient Bit Allocation for Resolution-Adaptive ADC in Multiuser Large-Scale MIMO Systems: Global Optimality

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