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Massive MIMO is a variant of multiuser MIMO, where the number of antennas $M$ at the base-station is large, and generally much larger than the number of spatially multiplexed data streams to/from the users. It has been observed that in many…

Information Theory · Computer Science 2017-07-25 Saeid Haghighatshoar , Giuseppe Caire

We consider the uplink of a Massive MIMO network with $L$ cells, each comprising a BS with $M$ antennas and $K$ single-antenna user equipments. Recently, [1] studied the asymptotic spectral efficiency of such networks with optimal multicell…

Information Theory · Computer Science 2019-06-26 Luca Sanguinetti , Emil Björnson , Abla Kammoun

Theoretically, the three-dimensional (3D) array architecture provides a higher communication degree of freedom (DoF) compared to the planar arrays, allowing for greater capacity potential in multiple-input multiple-output (MIMO) systems.…

Channel estimation has long been deemed as one of the most critical problems in three-dimensional (3D) massive multiple-input multiple-output (MIMO), which is recognized as the leading technology that enables 3D spatial signal processing in…

Signal Processing · Electrical Eng. & Systems 2021-04-21 Lei Cheng , Qingjiang Shi

In this paper, a three-dimensional (3-D) non-stationary wideband multiple-input multiple-output (MIMO) channel model based on the WINNER+ channel model is proposed. The angular distributions of clusters in both the horizontal and vertical…

Signal Processing · Electrical Eng. & Systems 2023-12-04 Ji Bian , Jian Sun , Cheng-Xiang Wang , Rui Feng , Jie Huang , Yang Yang , Minggao Zhang

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 this paper, we present a new performance bound for uplink channel estimation (CE) accuracy in the Massive Multiple Input Multiple Output (MIMO) system. The proposed approach is based on noise power prediction after the CE unit. Our…

Signal Processing · Electrical Eng. & Systems 2020-09-29 Alexander Osinsky , Andrey Ivanov , Dmitry Yarotsky

Massive multi-input multi-output (MIMO) can support high spectral efficiency (SE) with simple linear transceivers, and is expected to provide high energy efficiency (EE). In this paper, we analyze the EE of downlink multi-cell massive MIMO…

Information Theory · Computer Science 2015-05-28 Wenjia Liu , Shengqian Han , Chenyang Yang

We consider the uplink of a single-cell multi-user multiple-input multiple-output (MIMO) system with several single antenna transmitters/users and one base station with $N$ antennas in the $N\rightarrow\infty$ regime. The base station…

Information Theory · Computer Science 2017-08-23 Erdem Koyuncu

The present paper studies the asymptotic performance of multi-hop amplify-and-forward relay multiple-antenna communication channels. Each multi-antenna terminal in the network amplifies the received signal, sent by a source, and retransmits…

Information Theory · Computer Science 2016-06-24 Maksym A. Girnyk , Mikko Vehkaperä , Lars K. Rasmussen

Massive multiple-input multiple-output (MIMO) system is promising in providing unprecedentedly high data rate. To achieve its full potential, the transceiver needs complete channel state information (CSI) to perform transmit/receive…

Information Theory · Computer Science 2022-02-08 Yu Zhang , Ahmed Alkhateeb , Pranav Madadi , Jeongho Jeon , Joonyoung Cho , Charlie Zhang

Full-dimensional (FD) multi-user massive multiple input multiple output (m-MIMO) systems employ large two-dimensional (2D) rectangular antenna arrays to control both the azimuth and elevation angles of signal transmission. We introduce the…

Information Theory · Computer Science 2023-02-21 W. Zhu , H. D. Tuan , E. Dutkiewicz , Y. Fang , L. Hanzo

Massive multiple-input multiple-output (MIMO) systems deploying a large number of antennas at the base station considerably increase the spectrum efficiency by serving multiple users simultaneously without causing severe interference.…

Information Theory · Computer Science 2019-02-19 Yu Han , Qi Liu , Chao-Kai Wen , Shi Jin , Kai-Kit Wong

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

We investigate MIMO eigenmode transmission using statistical channel state information at the transmitter. We consider a general jointly-correlated MIMO channel model, which does not require separable spatial correlations at the transmitter…

Information Theory · Computer Science 2016-11-17 Xiqi Gao , Bin Jiang , Xiao Li , Alex B. Gershman , Matthew R. McKay

The point-to-point multiple-antenna channel is investigated in uncorrelated block fading environment with Rayleigh distribution. The maximum throughput and maximum expected-rate of this channel are derived under the assumption that the…

Information Theory · Computer Science 2012-01-17 Mahdi Zamani , Amir K. Khandani

Massive MIMO systems rely on accurate Channel State Information (CSI) feedback to enable high-gain beam-forming. However, the feedback overhead scales linearly with the number of antennas, presenting a major bottleneck. While recent deep…

Systems and Control · Electrical Eng. & Systems 2025-12-17 Maryam Ansarifard , Mostafa Rahmani , Mohit K. Sharma , Kishor C. Joshi , George Exarchakos , Alister Burr

Future wireless communications are largely inclined to deploy massive numbers of antennas at the base stations (BSs) by leveraging cost- and energy-efficient as well as environmentally friendly antenna arrays. The emerging technology of…

Information Theory · Computer Science 2023-01-11 Li You , Jie Xu , George C. Alexandropoulos , Jue Wang , Wenjin Wang , Xiqi Gao

In this paper, we address the message-passing receiver design for the 3D massive MIMO-OFDM systems. With the aid of the central limit argument and Taylor-series approximation, a computationally efficient receiver that performs joint channel…

Information Theory · Computer Science 2016-01-05 Sheng Wu , Linling Kuang , Zuyao Ni , Defeng , Huang , Qinghua Guo , Jianhua Lu

This paper investigates the performance of optimal single stream beamforming schemes in multiple-input multiple-output (MIMO) dual-hop amplify-and-forward (AF) systems. Assuming channel state information is not available at the source and…

Information Theory · Computer Science 2016-11-17 Caijun Zhong , Tharm Ratnarajah , Shi Jin , Kai Kit Wong