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Massive multi-user multiple-input multiple-output (MU-MIMO) enables significant gains in spectral efficiency and link reliability compared to conventional small-scale MIMO technology. Furthermore, linear precoders, e.g., using zero forcing…

Information Theory · Computer Science 2018-05-01 Kaipeng Li , Charles Jeon , Joseph R. Cavallaro , Christoph Studer

Hybrid precoding is an indispensable technique to harness the full potential of a multi-user massive multiple-input, multiple-output (MU-MMIMO) system. In this paper, we propose a new hybrid precoding approach that combines digital and…

Networking and Internet Architecture · Computer Science 2025-10-29 Azadeh Pourkabirian , Kai Li , Photios A. Stavrou , Wei Ni

The paper studies the multi-user precoding problem as a non-convex optimization problem for wireless multiple input and multiple output (MIMO) systems. In our work, we approximate the target Spectral Efficiency function with a novel…

Information Theory · Computer Science 2022-06-22 Evgeny Bobrov , Dmitry Kropotov , Sergey Troshin , Danila Zaev

Millimeter wave (mmWave) massive MIMO can achieve orders of magnitude increase in spectral and energy efficiency, and it usually exploits the hybrid analog and digital precoding to overcome the serious signal attenuation induced by mmWave…

Information Theory · Computer Science 2016-04-01 Linglong Dai , Xinyu Gao , Jinguo Quan , Shuangfeng Han , Chih-Lin I

User-centric (UC) based cell-free (CF) structures can provide the benefits of coverage enhancement for millimeter wave (mmWave) multiple input multiple output (MIMO) systems, which is regarded as the key technology of the reliable and…

Information Theory · Computer Science 2022-05-10 Yingrong Zhong , Yashuai Cao , Tiejun Lv

Hybrid precoding has been recognized as a promising technology to combat the path loss of millimeter wave signals in massive multiple-input multiple-output (MIMO) systems. However, due to the joint optimization of the digital and analog…

Signal Processing · Electrical Eng. & Systems 2019-04-12 Ling Zhang , Lin Gui , Kai Ying , Qibo Qin

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

This paper considers uplink massive MIMO systems with 1-bit analog-to-digital converters (ADCs) and develops a deep-learning based channel estimation framework. In this framework, the prior channel estimation observations and deep neural…

Information Theory · Computer Science 2020-05-11 Yu Zhang , Muhammad Alrabeiah , Ahmed Alkhateeb

Fifth-generation (5G) cellular systems will build on massive multi-user (MU) multiple-input multiple-output (MIMO) technology to attain high spectral efficiency. However, having hundreds of antennas and radio-frequency (RF) chains at the…

Signal Processing · Electrical Eng. & Systems 2018-03-02 Oscar Castañeda , Sven Jacobsson , Giuseppe Durisi , Tom Goldstein , Christoph Studer

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

Precoding design for the downlink of multiuser multiple-input multiple-output (MU-MIMO) systems is a fundamental problem. In this paper, we aim to maximize the weighted sum rate (WSR) while considering both quality-of-service (QoS)…

Signal Processing · Electrical Eng. & Systems 2023-06-06 Kaiyi Chi , Yingzhi Huang , Qianqian Yang , Zhaohui Yang , Zhaoyang Zhang

This work investigates the downlink performance of a multi-cell massive multiple-input multiple-output (MIMO) system that employs one-bit analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) in the receiving and…

Information Theory · Computer Science 2023-03-08 Qurrat-Ul-Ain Nadeem , Anas Chaaban

As a key enabling technology for 5G wireless, millimeter wave (mmWave) communication motivates the utilization of large-scale antenna arrays for achieving highly directional beamforming. However, the high cost and power consumption of RF…

Information Theory · Computer Science 2018-07-04 Qingjiang Shi , Mingyi Hong

The number of wireless devices which are connected to a single Wireless Local Area Network continues to grow each year. As a result, the orchestration of so many devices becomes a daunting, resource--consuming task, especially when the…

Information Theory · Computer Science 2023-01-19 George Vershinin , Asaf Cohen , Omer Gurewitz

To utilize the full potential of the available power at a base station (BS), we propose a joint precoding, antenna selection, and transmit power control algorithm for a total power budget at the BS. We formulate a sum spectral efficiency…

Signal Processing · Electrical Eng. & Systems 2025-08-08 Jiwon Sung , Seokjun Park , Jinseok Choi

We study a downlink multi-user multiple-input single-output (MU-MISO) system in which the base station (BS) has a large number of antennas with cost-effective one-bit digital-to-analog converters (DACs). In this system, we first identify…

Information Theory · Computer Science 2019-01-24 Gyu-Jeong Park , Song-Nam Hong

The throughput of users with poor channel conditions, such as those at a cell edge, is a bottleneck in wireless systems. A major part of the power budget must be allocated to serve these users in guaranteeing their quality-of-service (QoS)…

Information Theory · Computer Science 2017-06-07 Van-Dinh Nguyen , Hoang Duong Tuan , Trung Q. Duong , H. Vincent Poor , and Oh-Soon Shin

Analog/digital hybrid precoder and combiner have been widely used in millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems due to its energy-efficient and economic superiorities. Infinite resolution of phase shifters (PSs)…

Information Theory · Computer Science 2017-04-27 Zihuan Wang , Ming Li , Xiaowen Tian , Qian Liu

We consider downlink precoding in a frequency-selective multi-user Massive MIMO system with highly efficient but non-linear power amplifiers at the base station (BS). A low-complexity precoding algorithm is proposed, which generates…

Information Theory · Computer Science 2013-05-08 Saif Khan Mohammed , Erik G. Larsson

Recent information theoretic results suggest that precoding on the multi-user downlink MIMO channel with delayed channel state information at the transmitter (CSIT) could lead to data rates much beyond the ones obtained without any CSIT,…

Information Theory · Computer Science 2012-07-10 Xinping Yi , David Gesbert
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