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In this paper, we propose a Singular-Value-Decomposition-based variable-resolution Analog to Digital Converter (ADC) bit allocation design for a single-user Millimeter wave massive Multiple-Input Multiple-Output receiver. We derive the…

Signal Processing · Electrical Eng. & Systems 2018-04-27 I. Zakir Ahmed , Hamid Sadjadpour , Shahram Yousefi

In this paper, we derive an optimal ADC bit-allocation (BA) condition for a Single-User (SU) Millimeter wave (mmWave) Massive Multiple-Input Multiple-Output (Ma-MIMO) receiver equipped with variable-resolution ADCs under power constraint…

Signal Processing · Electrical Eng. & Systems 2019-02-12 I. Zakir Ahmed , Hamid Sadjadpour , Shahram Yousefi

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

Fixed low-resolution Analog to Digital Converters (ADC) help reduce the power consumption in millimeter-wave Massive Multiple-Input Multiple-Output (Ma-MIMO) receivers operating at large bandwidths. However, they do not guarantee optimal…

Signal Processing · Electrical Eng. & Systems 2021-04-13 I. Zakir Ahmed , Hamid Sadjadpour , Shahram Yousefi

In this paper, we derive a closed-form expression for the combiner of a multiple-input-multiple-output (MIMO) receiver equipped with a minimum-mean-square-error (MMSE) estimator. We propose using variable-bit-resolution analog-to- digital…

Signal Processing · Electrical Eng. & Systems 2018-04-27 I. Zakir Ahmed , Hamid Sadjadpour , Shahram Yousefi

The use of 1-bit analog-to-digital converters (ADCs) is seen as a promising approach to significantly reduce the power consumption and hardware cost of multiple-input multiple-output (MIMO) receivers. However, the nonlinear distortion due…

Information Theory · Computer Science 2022-10-12 Neil Irwin Bernardo , Jingge Zhu , Yonina C. Eldar , Jamie Evans

With bandwidths on the order of a gigahertz in emerging wireless systems, high-resolution analog-to-digital convertors (ADCs) become a power consumption bottleneck. One solution is to employ low resolution one-bit ADCs. In this paper, we…

Information Theory · Computer Science 2015-11-09 Jianhua Mo , Robert W. Heath

In future high-capacity wireless systems based on mmWave or massive multiple input multiple output (MIMO), the power consumption of receiver Analog to Digital Converters (ADC) is a concern. Although hybrid or analog systems with fewer ADCs…

Information Theory · Computer Science 2019-01-29 Waqas bin Abbas , Felipe Gomez-Cuba , Michele Zorzi

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

High resolution analog to digital converters (ADCs) are conventionally used at the receiver terminals to store an accurate digital representation of the received signal, thereby allowing for reliable decoding of transmitted messages.…

Information Theory · Computer Science 2021-12-07 Abbas Khalili , Farhad Shirani , Elza Erkip , Yonina C. Eldar

Low resolution analog-to-digital converters (ADCs) can be employed to improve the energy efficiency (EE) of a wireless receiver since the power consumption of each ADC is exponentially related to its sampling resolution and the hardware…

Signal Processing · Electrical Eng. & Systems 2020-03-11 Aryan Kaushik , Christos Tsinos , Evangelos Vlachos , John Thompson

Hybrid analog/digital architectures and receivers with low-resolution analog-to-digital converters (ADCs) are two low power solutions for wireless systems with large antenna arrays. Most prior work represents two extreme cases in which…

Signal Processing · Electrical Eng. & Systems 2019-11-01 Mahdi Eskandari , Hamidreza Bakhshi

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

Millimeter wave (mmWave) multi-user massive multi-input multi-output (MIMO) is a promising technique for the next generation communication systems. However, the hardware cost and power consumption grow significantly as the number of radio…

Signal Processing · Electrical Eng. & Systems 2021-06-09 Liangyuan Xu , Feifei Gao , Ting Zhou , Shaodan Ma , Wei Zhang

Analog to Digital Converters (ADCs) are a major contributor to the energy consumption on the receiver side of millimeter-wave multiple-input multiple-output (MIMO) systems with large antenna arrays. Consequently, there has been significant…

Information Theory · Computer Science 2022-02-08 Farhad Shirani , Hamidreza Aghasi

In this paper, we aim to design highly energy efficient end-to-end communication for millimeter wave multiple-input multiple-output systems. This is done by jointly optimizing the digital-to-analog converter (DAC)/analog-to-digital…

Signal Processing · Electrical Eng. & Systems 2020-03-12 Aryan Kaushik , Evangelos Vlachos , Christos Tsinos , John Thompson , Symeon Chatzinotas

Phase-modulated continuous-wave (PMCW) multiple-input multiple-output (MIMO) radar systems are known to possess excellent mutual interference mitigation capabilities, but require costly and power-hungry high sampling rate and high-precision…

Signal Processing · Electrical Eng. & Systems 2023-06-16 Xiaolei Shang , Ronghao Lin , Yuanbo Cheng

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

Achieving high channel estimation accuracy and reducing hardware cost as well as power dissipation constitute substantial challenges in the design of massive multiple-input multiple-output (MIMO) systems. To resolve these difficulties,…

Information Theory · Computer Science 2022-01-03 Yalin Wang , Xihan Chen , Yunlong Cai , Benoit Champagne , Lajos Hanzo

In this paper, we present a new scenario of direction of arrival (DOA) estimation using massive multiple-input multiple-output (MIMO) receive array with low-resolution analog-to-digital convertors (ADCs), which can strike a good balance…

Information Theory · Computer Science 2022-02-17 Baihua Shi , Nuo Chen , Xicheng Zhu , Yuwen Qian , Yijin Zhang , Feng Shu , Jiangzhou Wang
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