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In this paper, we provide an analytical framework for full-duplex (FD) massive multiple-input multiple-output (MIMO) cellular networks with low resolution analog-to-digital and digital-to-analog converters (ADCs and DACs). Matched filters…

Signal Processing · Electrical Eng. & Systems 2022-09-07 Elyes Balti , Brian L. Evans

Future wireless communications will rely on multiple-input multiple-output (MIMO) beamforming operating at millimeter wave (mmWave) frequency bands to deliver high data rates. To support flexible spatial processing and meet the demands of…

Signal Processing · Electrical Eng. & Systems 2026-01-23 Faruk Pasic , Mariam Mussbah , Stefan Schwarz , Markus Rupp , Fredrik Tufvesson , Christoph F. Mecklenbräuker

This letter considers an active reconfigurable intelligent surface (RIS)-aided multi-user uplink massive multipleinput multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs). The letter derives the closedform…

Information Theory · Computer Science 2024-04-23 Zhangjie Peng , Zecheng Lu , Xue Liu , Cunhua Pan , Jiangzhou Wang

We study the multi-user massive multiple-input-single-output (MISO) and focus on the downlink systems where the base station (BS) employs hybrid analog-digital precoding with low-cost 1-bit digital-to-analog converters (DACs). In this…

Signal Processing · Electrical Eng. & Systems 2018-10-30 Ang Li , Christos Masouros , Fan Liu

In this work, we present a solution for coordinated beamforming and power allocation when base stations employ a massive number of antennas equipped with low-resolution analog-to-digital and digital-to-analog converters. We address total…

Information Theory · Computer Science 2021-03-09 Yunseong Cho , Jinseok Choi , Brian L. Evans

We investigate a reconfigurable intelligent surface (RIS)-aided multi-user massive multiple-input multi-output (MIMO) system where low-resolution digital-analog converters (DACs) are configured at the base station (BS) in order to reduce…

Information Theory · Computer Science 2021-08-24 Jianxin Dai , Yuanyuan Wang , Cunhua Pan , Kangda Zhi , Hong Ren , Kezhi Wang

Motivated by the demand for energy-efficient communication solutions in the next generation cellular network, a mixed-ADC architecture for massive multiple input multiple output (MIMO) systems is proposed, which differs from previous works…

Information Theory · Computer Science 2016-11-18 Ning Liang , Wenyi Zhang

The use of low-resolution digital-to-analog and analog-to-digital converters (DACs and ADCs) significantly benefits energy efficiency (EE) at the cost of high quantization noise in implementing massive multiple-input multiple-output (MIMO)…

Signal Processing · Electrical Eng. & Systems 2021-08-16 Jinseok Choi , Jeonghun Park , Namyoon Lee

Low-resolution digital-to-analog converter (DAC) has shown great potential in facilitating cost- and power-efficient implementation of massive multiple-input multiple-output (MIMO) systems. We investigate the performance of a massive MIMO…

Information Theory · Computer Science 2019-01-30 Jindan Xu , Wei Xu , Fengkui Gong , Hua Zhang , Xiaohu You

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

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 (MIMO) can improve the overall system performance significantly. Massive MIMO systems, however, may require a large number of radio frequency (RF) chains that could cause high cost and power…

Information Theory · Computer Science 2022-06-28 Hwanjin Kim , Junil Choi

The paper studies a reconfigurable intelligent surface (RIS)-assisted multi-user uplink massive multiple-input multiple-output (MIMO) system with imperfect hardware. At the RIS, the paper considers phase noise, while at the base station,…

Information Theory · Computer Science 2022-08-18 Zhangjie Peng , Xianzhe Chen , Cunhua Pan , Maged Elkashlan , Jiangzhou Wang

In millimeter wave (mmWave) systems, we investigate uplink user scheduling when a basestation employs low-resolution analog-to-digital converters (ADCs) with a large number of antennas. To reduce power consumption in the receiver,…

Information Theory · Computer Science 2018-02-01 Jinseok Choi , Brian L. Evans

This paper considers channel estimation and system performance for the uplink of a single-cell massive multiple-input multiple-output (MIMO) system. Each receive antenna of the base station (BS) is assumed to be equipped with a pair of…

Information Theory · Computer Science 2017-08-02 Yongzhi Li , Cheng Tao , Gonzalo Seco-Granados , Amine Mezghani , A. Lee Swindlehurst , Liu Liu

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

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

Multiple-input multiple-output (MIMO) wireless systems conventionally use high-resolution analog-to-digital converters (ADCs) at the receiver side to faithfully digitize received signals prior to digital signal processing. However, the…

Information Theory · Computer Science 2025-04-29 Marian Temprana Alonso , Dongsheng Luo , Farhad Shirani

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, such as millimeter wave and massive MIMO systems. Most…

Information Theory · Computer Science 2016-11-07 Jianhua Mo , Ahmed Alkhateeb , Shadi Abu-Surra , Robert W. Heath