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This letter proposes a deep learning based pilot design scheme to minimize the sum mean square error (MSE) of channel estimation for multi-user distributed massive multiple-input multiple-output (MIMO) systems. The pilot signal of each user…

Signal Processing · Electrical Eng. & Systems 2019-03-19 Jun Xu , Pengcheng Zhu , Jiamin Li , Xiaohu You

In this paper, we propose a joint pilot design and channel estimation scheme based on the deep learning (DL) technique for multiuser multiple-input multiple output (MIMO) channels. To this end, we construct a pilot designer using two-layer…

Information Theory · Computer Science 2018-12-12 Chang-Jae Chun , Jae-Mo Kang , Il-Min Kim

In multi-cell massive MIMO systems, channel estimation is deteriorated by pilot contamination and the effects of pilot contamination become more severe due to hardware impairments. In this paper, we propose a joint pilot design and channel…

Signal Processing · Electrical Eng. & Systems 2021-08-11 Byungju Lim , Won Joon Yun , Joongheon Kim , Young-Chai Ko

We consider a multi-cell massive multiple-input-multiple-output (MIMO) system with correlated Rayleigh fading channels, where pilot reuse is permitted within each cell (to reduce pilot overhead), and each base station (BS) utilizes…

Information Theory · Computer Science 2025-07-08 Masoud Elyasi , Azadeh Vosoughi

We investigate the uplink throughput achievable by a multiple-user (MU) massive multiple-input multiple-output (MIMO) system in which the base station is equipped with a large number of low-resolution analog-to-digital converters (ADCs).…

Information Theory · Computer Science 2017-04-18 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Ulf Gustavsson , Christoph Studer

Using a very low-resolution analog-to-digital convertor (ADC) unit at each antenna can remarkably reduce the hardware cost and power consumption of a massive multiple-input multiple-output (MIMO) system. However, such a pure low-resolution…

Information Theory · Computer Science 2016-11-17 Ti-Cao Zhang , Chao-Kai Wen , Shi Jin , Tao Jiang

This paper investigates an uplink multiuser massive multiple-input multiple-output (MIMO) system with one-bit analog-to-digital converters (ADCs), in which $K$ users with a single-antenna communicate with one base station (BS) with $n_r$…

Information Theory · Computer Science 2017-02-03 Seonho Kim , Namyoon Lee , Songnam Hong

Massive multiple-input multiple-output (MIMO) communication is a promising technology for increasing spectral efficiency in wireless networks. Two of the main challenges massive MIMO systems face are degraded channel estimation accuracy due…

Information Theory · Computer Science 2018-01-18 Shahar S. Ioushua , Yonina C. Eldar

We investigate massive multiple-input-multiple output (MIMO) uplink systems with 1-bit analog-to-digital converters (ADCs) on each receiver antenna. Receivers that rely on 1-bit ADC do not need energy-consuming interfaces such as automatic…

Information Theory · Computer Science 2014-05-01 Chiara Risi , Daniel Persson , Erik G. Larsson

The uplink achievable rate of massive multiple- input-multiple-output (MIMO) systems, where the low-resolution analog-to-digital converters (ADCs) are assumed to equip at the base station (BS), is investigated in this paper. We assume that…

Information Theory · Computer Science 2018-01-31 Kai Liu , Cheng Tao , Liu Liu , Yinsheng Liu

In frequency-division duplexing (FDD) multiple-input multiple-output (MIMO) systems, obtaining accurate downlink channel state information (CSI) for precoding is vastly challenging due to the tremendous feedback overhead with the growing…

Signal Processing · Electrical Eng. & Systems 2024-05-15 Jungyeon Kim , Jinseok Choi , Jeonghun Park , Ahmed Alkhateeb , Namyoon Lee

The uplink performance of massive multiple-input-multiple-output (MIMO) systems where the base stations (BS) employ low-resolution analog-to-digital converters (ADCs) is analyzed. A high performance MMSE receiver that takes both additive…

Signal Processing · Electrical Eng. & Systems 2017-11-30 Chao Wei , Zaichen Zhang

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

This paper focuses on the minimum mean squared error (MMSE) channel estimator for multiple-input multiple-output (MIMO) systems with one-bit quantization at the receiver side. Despite its optimality and significance in estimation theory,…

Information Theory · Computer Science 2025-01-23 Minhua Ding , Italo Atzeni , Antti Tölli , A. Lee Swindlehurst

In this letter, we introduce a novel pilot design approach that minimizes the total mean square errors of the minimum mean square error estimators of all base stations (BSs) subject to the transmit power constraints of individual users in…

Information Theory · Computer Science 2018-03-06 Hayder Al-Salihi , Trinh Van Chien , Tuan Anh Le , Mohammad Reza Nakhai

In this paper, a new state-of-the-art multi-cell MMSE scheme is proposed for massive MIMO networks, which includes an uplink MMSE detector and a downlink MMSE precoder. The main novelty is that it exploits all available pilots for…

Information Theory · Computer Science 2015-05-27 Xueru Li , Emil Björnson , Erik G. Larsson , Shidong Zhou , Jing Wang

This paper proposes a flexible pilot assignment method to jointly optimize the uplink and downlink data transmission in multi-cell Massive multiple input multiple output (MIMO) systems with correlated Rayleigh fading channels. By utilizing…

Information Theory · Computer Science 2021-07-01 Tien Hoa Nguyen , Trinh Van Chien , Hien Quoc Ngo , Xuan Nam Tran , Emil Björnson

In this paper, the performance of uplink spectral efficiency in massive multiple input multiple output (MIMO) over spacially correlated Ricean fading channel is presented. The maximum ratio combining (MRC) receiver is employed at the base…

Information Theory · Computer Science 2017-07-20 Juan Cao , Dongming Wang , Jiamin Li , Qiang Sun

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

The doubly selective (DS) channel estimation in the large-scale multiple-input multiple-output (MIMO) systems is a challenging problem due to the large number of the channel coefficients to be estimated, which requires unaffordable and…

Signal Processing · Electrical Eng. & Systems 2020-04-22 Bo Gong , Lin Gui , Qibo Qin , Xiang Ren , Wen Chen