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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

The low-resolution analog-to-digital convertor (ADC) is a promising solution to significantly reduce the power consumption of radio frequency circuits in massive multiple-input multiple-output (MIMO) systems. In this letter, we investigate…

Information Theory · Computer Science 2016-11-15 Jiayi Zhang , Linglong Dai , Shengyang Sun , Zhaocheng Wang

Low-resolution analog-to-digital converters (ADCs) have emerged as a promising technology for reducing power consumption and complexity in massive multiple-input multiple-output (MIMO) systems while maintaining satisfactory spectral and…

Signal Processing · Electrical Eng. & Systems 2025-05-06 Mengyuan Ma , Nhan Thanh Nguyen , Italo Atzeni , Markku Juntti

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

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

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

Communication systems with low-resolution analog-to-digital-converters (ADCs) can exploit channel state information at the transmitter (CSIT) and receiver. This paper presents initial results on codebook design and performance analysis for…

Information Theory · Computer Science 2015-12-22 Jianhua Mo , Robert W. Heath

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

Large-scale multiple-antenna systems have been identified as a promising technology for the next generation of wireless systems. However, by scaling up the number of receive antennas the energy consumption will also increase. One possible…

Information Theory · Computer Science 2019-10-08 Z. Shao , L. Landau , R. C. de Lamare

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

Multiple-antenna systems is a key technique to serve multiple users in future wireless systems. For low energy consumption and hardware complexity we first consider transmit symbols with constant magnitude and then 1-bit digital-to-analog…

Information Theory · Computer Science 2018-01-18 Lukas T. N. Landau , Rodrigo C. de Lamare

This paper characterizes the capacity region of Gaussian MIMO broadcast channels (BCs) with per-antenna power constraint (PAPC). While the capacity region of MIMO BCs with a sum power constraint (SPC) was extensively studied, that under…

Information Theory · Computer Science 2017-05-18 Thuy M. Pham , Ronan Farrell , Le-Nam Tran

Spatial filtering based on multiple-input multiple-output (MIMO) processing is a powerful method for jammer mitigation. In principle, a MIMO receiver can null the interference of a single-antenna jammer at the cost of only one degree of…

Information Theory · Computer Science 2024-08-28 Gian Marti , Alexander Stutz-Tirri , Christoph Studer

This paper considers channel estimation and achievable rates for the uplink of a massive multiple-input multiple-output (MIMO) system where the base station is equipped with one-bit analog-to-digital converters (ADCs). By rewriting the…

Information Theory · Computer Science 2016-11-15 Yongzhi Li , Cheng Tao , Liu Liu , Gonzalo Seco-Granados , A. Lee Swindlehurst

As future wireless systems trend towards higher carrier frequencies and large antenna arrays, receivers with one-bit analog-to-digital converters (ADCs) are being explored owing to their reduced power consumption. However, the combination…

Information Theory · Computer Science 2022-11-17 Akash Doshi , Jeffrey G. Andrews

One of the basic aspects of Massive MIMO (MaMi) that is in the focus of current investigations is its potential of using low-cost and energy-efficient hardware. It is often claimed that MaMi will allow for using analog-to-digital converters…

Information Theory · Computer Science 2016-12-08 Muris Sarajlić , Liang Liu , Ove Edfors

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 2025-02-12 Mengyuan Ma , Nhan Thanh Nguyen , Italo Atzeni , A. Lee Swindlehurst , Markku Juntti

Analog-to-digital conversion (ADC) is a key bottleneck in scaling DSP-centric receiver architectures to multiGigabit/s speeds. Recent information-theoretic results, obtained under ideal channel conditions (perfect synchronization, no…

Information Theory · Computer Science 2011-12-21 Jaspreet Singh , Upamanyu Madhow

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

Multiple-input multiple-output (MIMO) systems exploit spatial diversity to facilitate multi-user communications with high spectral efficiency by beamforming. As MIMO systems utilize multiple antennas and radio frequency (RF) chains, they…

Signal Processing · Electrical Eng. & Systems 2022-12-02 Eyyup Tasci , Timur Zirtiloglu , Alperen Yasar , Yonina C. Eldar , Nir Shlezinger , Rabia Tugce Yazicigil