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We consider the problem of channel estimation for uplink multiuser massive MIMO systems, where, in order to significantly reduce the hardware cost and power consumption, one-bit analog-to-digital converters (ADCs) are used at the base…

Information Theory · Computer Science 2017-04-18 Feiyu Wang , Jun Fang , Hongbin Li , Shaoqian Li

The massive Multiple-Input Multiple-Output (mMIMO) concept has been recently moving forward to extreme scales to address the envisioned requirements of next generation networks. However, the extension of conventional architectures will…

Signal Processing · Electrical Eng. & Systems 2024-01-17 Panagiotis Gavriilidis , Italo Atzeni , George C. Alexandropoulos

Millimeter wave (mmWave) systems operating over a wide bandwidth and using a large number of antennas impose a heavy burden on power consumption. In a massive multiple-input multiple-output (MIMO) uplink, analog-to-digital con- verters…

Information Theory · Computer Science 2017-02-28 Jinseok Choi , Brian L. Evans , Alan Gatherer

Low-resolution analog-to-digital converters (ADCs) have emerged as an efficient solution for massive multiple-input multiple-output (MIMO) systems to reap high data rates with reasonable power consumption and hardware complexity. In this…

Signal Processing · Electrical Eng. & Systems 2024-11-12 Mengyuan Ma , Nhan Thanh Nguyen , Italo Atzeni , Markku Juntti

Low-resolution digital-to-analog converters (DACs) and analog-to-digital converters (ADCs) are considered to reduce cost and power consumption in multiuser massive multiple-input multiple-output (MIMO). Using the Bussgang theorem, we derive…

Information Theory · Computer Science 2017-06-22 Jindan Xu , Wei Xu , Fengkui Gong

Use of low resolution analog to digital converters (ADCs) is an effective way to reduce the high power consumption of millimeter wave (mmWave) receivers. In this paper, a receiver with low resolution ADCs based on adaptive thresholds is…

Information Theory · Computer Science 2020-02-12 Abbas Khalili , Shahram Shahsavari , Farhad Shirani , Elza Erkip , Yonina C. Eldar

All-digital basestation (BS) architectures for millimeter-wave (mmWave) massive multi-user multiple-input multiple-output (MU-MIMO), which equip each radio-frequency chain with dedicated data converters, have advantages in spectral…

High hardware cost and high power consumption of massive multiple-input and multiple output (MIMO) are two challenges for the future wireless communications including beyond fifth generation (B5G) and sixth generation (6G). Adopting the…

Information Theory · Computer Science 2022-01-19 Baihua Shi , Lingling Zhu , Wenlong Cai , Nuo Chen , Tong Shen , Pengcheng Zhu , Feng Shu , Jiangzhou Wang

For 5G it will be important to leverage the available millimeter wave spectrum. To achieve an approximately omni- directional coverage with a similar effective antenna aperture compared to state of the art cellular systems, an antenna array…

Information Theory · Computer Science 2018-07-04 Kilian Roth , Hessam Pirzadeh , A. Lee Swindlehurst , Josef A. Nossek

The fundamental limits of communication over multiple-input multiple-output (MIMO) networks are considered when a limited number of one-bit analog to digital converters (ADC) are used at the receiver terminals. Prior works have mainly…

Information Theory · Computer Science 2019-02-04 Abbas Khalili , Farhad Shirani , Elza Erkip , Yonina C. Eldar

The wide bandwidth and large number of antennas used in millimeter wave systems put a heavy burden on the power consumption at the receiver. In this paper, using an additive quantization noise model, the effect of analog-digital conversion…

Information Theory · Computer Science 2016-11-18 Oner Orhan , Elza Erkip , Sundeep Rangan

We consider the problem of jointly optimizing ADC bit resolution and analog beamforming over a frequency-selective massive MIMO uplink. We build upon a popular model to incorporate the impact of low bit resolution ADCs, that hitherto has…

Signal Processing · Electrical Eng. & Systems 2019-02-28 Narayan Prasad , Xiao-Feng Qi , Alan Gatherer

Communication systems with low-resolution analog-to-digital-converters (ADCs) can exploit channel state information at the transmitter and receiver. This paper presents codebook designs and performance analyses for limited feedback MIMO…

Information Theory · Computer Science 2017-04-17 Jianhua Mo , Robert W. Heath

Massive multiple-input multiple-output (M-MIMO) architecture is the workhorse of modern communication systems. Currently, two fundamental bottlenecks, namely, power consumption and receiver saturation, limit the full potential achievement…

Information Theory · Computer Science 2022-10-20 Ziang Liu , Ayush Bhandari , Bruno Clerckx

Employing low-resolution analog-to-digital converters (ADCs) for millimeter wave receivers with large antenna arrays provides opportunity to efficiently reduce power consumption of the receiver. Reducing ADC resolution, however, results in…

Information Theory · Computer Science 2020-05-12 Jinseok Choi , Gilwon Lee , Ahmed Alkhateeb , Alan Gatherer , Naofal Al-Dhahir , Brian L. Evans

In this paper, we propose a hybrid analog-digital beamforming architecture with resolution-adaptive ADCs for millimeter wave (mmWave) receivers with large antenna arrays. We adopt array response vectors for the analog combiners and derive…

Information Theory · Computer Science 2017-11-22 Jinseok Choi , Brian L. Evans , Alan Gatherer

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…

Information Theory · Computer Science 2019-11-13 Armin Bazrafkan , Nikola Zlatanov

In this work, a new energy-efficiency performance metric is proposed for MIMO (multiple input multiple output) point-to-point systems. In contrast with related works on energy-efficiency, this metric translates the effects of using finite…

Networking and Internet Architecture · Computer Science 2018-04-09 Vineeth S. Varma , Samson Lasaulce , Merouane Debbah , Salah Eddine Elayoubi

Enabling communications in the (sub-)THz band will call for massive multiple-input multiple-output (MIMO) arrays at either the transmit- or receive-side, or at both. To scale down the complexity and power consumption when operating across…

Signal Processing · Electrical Eng. & Systems 2023-12-05 Italo Atzeni , Antti Tölli , Duy H. N. Nguyen , A. Lee Swindlehurst

This paper considers channel estimation and uplink achievable rate of the coarsely quantized massive multiple-input multiple-output (MIMO) system with radio frequency (RF) impairments. We utilize additive quantization noise model (AQNM) and…

Signal Processing · Electrical Eng. & Systems 2019-02-01 Liangyuan Xu , Xintong Lu , Shi Jin , Feifei Gao , Yongxu Zhu