Achievable Rates for Full-Duplex Massive MIMO Systems With Low-Resolution ADCs/DACs

Dai, Jian; Liu, Juan; Wang, Jiangzhou; Zhao, Junhui; Cheng, Chonghu; Wang, Jin‐Yuan

doi:10.1109/access.2019.2900273

Cited by 41 publications

(60 citation statements)

References 22 publications

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“…2(a), we compare the exact ergodic rate in (23), the simulation result of the lower bound in (26), and the analytical result of the lower bound given by R ∞ u in (29). In the Monte Carlo simulations for (23) and 26, we take user 1 as an example and the simulation results are obtained based on 2000 randomly generated wireless channels. As illustrated in Fig.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…where n k ∼ CN (0, 1) is the receiver noise. As in [10], the ergodic rate at user k is given by (23) at the top of the next page. However, it is difficult to obtain an analytically tractable result for the expected value in (23).…”

Section: A Ergodic Rate At Intended Usermentioning

confidence: 99%

“…As in [10], the ergodic rate at user k is given by (23) at the top of the next page. However, it is difficult to obtain an analytically tractable result for the expected value in (23). Therefore, we use the method in [10], [13], [16] to find a tractable lower bound for (23), which will finally provide a lower bound for the ergodic secrecy rate of the system.…”

Section: A Ergodic Rate At Intended Usermentioning

confidence: 99%

“…The work in [20] investigated the energy efficiency of massive MIMO system with lowresolution ADCs while the work in [21] considered both the low-resolution ADCs and DACs. The above study is then extended to full-duplex massive MIMO as in [22] and [23]. Different from [19]- [23] where the Rayleigh fading was assumed, the work in [24] studied the uplink spectral efficiency of massive MIMO with low-resolution ADCs in Rician fading environment.…”

Section: Introductionmentioning

confidence: 99%

“…The above study is then extended to full-duplex massive MIMO as in [22] and [23]. Different from [19]- [23] where the Rayleigh fading was assumed, the work in [24] studied the uplink spectral efficiency of massive MIMO with low-resolution ADCs in Rician fading environment. For mixed-ADCs/DACs in [25], [26], both low-resolution and infinite-resolution ADCs/DACs are employed.…”

Section: Introductionmentioning

confidence: 99%

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Secure Massive MIMO Downlink With Low-Resolution ADCs/DACs in the Presence of Active Eavesdropping

Ren

2020

IEEE Access

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In this paper we study the secrecy performance of a downlink massive multiple-input multiple-output (MIMO) system in the presence of pilot spoofing attack (PSA). Specifically, the base station (BS), which is equipped with low-resolution analog-to-digital converters (ADCs) and digital-to-analog converters (DACs), exploits the low-complexity random artificial noise (AN) to improve secrecy. With the aid of the additive quantization noise model, the ergodic secrecy rate is derived. Based on the derived results, we study the impact of ADCs' and DACs' resolutions on the secrecy performance for the two different scenarios: the scenarios with and without the knowledge of the PSA power. The optimal power allocation parameter, which allocates power between the information-bearing signal and AN, is derived for the scenario with the knowledge of the PSA power. For ADCs, our theoretical results indicate that high-resolution ADCs are always favorable for improving secrecy, regardless of the availability of the PSA power. However, the impact of DACs' resolution is related to the knowledge of the PSA power. For the scenario without the PSA power, enhancing the resolution of DACs does not necessarily improve the secrecy performance due to the inappropriate power allocation. For the scenario with the PSA power, DACs with different resolutions can achieve the same ergodic secrecy rate in most cases, since the optimal power allocation can make a balance between mitigating the rate loss due to coarse quantization and injecting AN for anti-eavesdropping. Only in the case where the PSA power is small, high-resolution DACs achieve a higher ergodic secrecy rate. Finally, we propose a PSA detection method and study the effect of low-resolution ADCs on the detection performance. It is found that the resolution of ADCs has little effect on the performance of PSA detection.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: A Ergodic Rate At Intended Usermentioning

confidence: 99%

Section: A Ergodic Rate At Intended Usermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Secure Massive MIMO Downlink With Low-Resolution ADCs/DACs in the Presence of Active Eavesdropping

Ren

2020

IEEE Access

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Performance analysis of successive di-state full-duplex cooperative wireless cellular networks

Baskar,

Selvaprabhu

2024

Alexandria Engineering Journal

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Performance Analysis of Protograph LDPC Codes Over Large-Scale MIMO Channels With Low-Resolution ADCs

Nguyen¹,

Vu²,

Nguyen

et al. 2019

IEEE Access

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Protograph LDPC (P-LDPC) codes and large-scale multiple-input multiple-output (LS-MIMO) are cornerstones of 5G and future wireless systems, thanks to their powerful error-correcting capability and high spectral efficiency. To alleviate the high complexity in signal detection/decoding that dramatically grows with the number of antennas (in the order of tens or even hundreds), low-resolution analog-to-digital converters (ADCs) and joint detection and decoding using factor graph have recently attracted paramount interest. Unlike high-resolution ADCs, by using a small number of bits to quantize the received signal, lowresolution ADCs help reduce the hardware cost and power consumption of the RF circuit of practical LS-MIMO transceivers. Such a very much desirable reduction comes at the cost of additional quantization noise, introduced by low-resolution ADCs. This work aims to provide a unified framework to analyze the impact of the low-resolution ADCs on the performance of P-LDPC codes in practical LS-MIMO systems. It is worth noting that the previous analytical tools that have been used to evaluate the performance of P-LDPC codes do not account for the quantization noise effect of the low-resolution ADCs and the fact that the covariance of quantization noise depends on the fading channels. This article addresses this shortcoming by first leveraging the additive quantization noise model. We then derive the expression of extrinsic information for the belief-propagation LS-MIMO detector. The mutual information functions, which are the core elements of our proposed protograph extrinsic information transfer (PEXIT) algorithm, are analyzed for LS-MIMO communication systems. Our proposed PEXIT algorithm allows us to analyze and predict the impact of the low-resolution ADCs on the performance of P-LDPC codes, considering various input parameters, including the LS-MIMO configuration, the code rate, and the maximum number of decoding iterations, and the code structure. Based on our extensive analytical and simulation results, we found that the performance of 3-bit and 4-bit ADC systems only have a small gap to that of the unquantized systems. Especially when the 5-bit ADC scheme is applied, the performance loss is negligible. This finding sheds light on the practical design of LS-MIMO systems using P-LDPC codes.INDEX TERMS Protograph LDPC codes, large-scale MIMO, joint detection and decoding, PEXIT algorithm, low-resolution ADC.

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Achievable Rates for Full-Duplex Massive MIMO Systems With Low-Resolution ADCs/DACs

Cited by 41 publications

References 22 publications

Secure Massive MIMO Downlink With Low-Resolution ADCs/DACs in the Presence of Active Eavesdropping

Secure Massive MIMO Downlink With Low-Resolution ADCs/DACs in the Presence of Active Eavesdropping

Performance analysis of successive di-state full-duplex cooperative wireless cellular networks

Performance Analysis of Protograph LDPC Codes Over Large-Scale MIMO Channels With Low-Resolution ADCs

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