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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

Massive MIMO is a variant of multiuser MIMO where the number of base-station antennas $M$ is very large (typically 100), and generally much larger than the number of spatially multiplexed data streams (typically 10). Unfortunately, the…

Information Theory · Computer Science 2016-07-28 Saeid Haghighatshoar , Giuseppe Caire

A new iterative method for non-LTE multilevel polarized radiative transfer in hydrogen lines is presented. Iterative methods (such as the Jacobi method) tend to damp out high-frequency components of the error fast, but converges poorly due…

Astrophysics · Physics 2008-11-26 Jiri Stepan

Zero-Forcing (ZF) has been considered as one of the potential practical precoding and detection method for massive MIMO systems. One of the most important advantages of massive MIMO is the capability of supporting a large number of users in…

Information Theory · Computer Science 2016-11-17 Dengkui Zhu , Boyu Li , Ping Liang

This paper focuses on new communication paradigms arising in massive multiple-input-multiple-output systems where the antenna array at the base station is of extremely large dimension (xMaMIMO). Due to the extreme dimension of the array,…

Signal Processing · Electrical Eng. & Systems 2018-10-05 Abolfazl Amiri , Marko Angjelichinoski , Elisabeth de Carvalho , Robert W. Heath

Recently, multi-user multiple input multiple output (MU-MIMO) systems with low-resolution digital-to-analog converters (DACs) has received considerable attention, owing to the capability of dramatically reducing the hardware cost. Besides,…

Signal Processing · Electrical Eng. & Systems 2019-05-16 Lei Chu , Fei Wen , Robert Caiming Qiu

With the application of high-frequency communication and extremely large MIMO (XL-MIMO), the near-field effect has become increasingly apparent. The near-field channel estimation and position estimation problems both rely on the Angle of…

Information Theory · Computer Science 2024-12-19 Xiyuan Liu , Qingqing Wu , Rui Wang , Jun Wu

This paper analyzes the performance of linearly precoded time division duplex based multi-user massive MIMO downlink system under joint impacts of channel non-reciprocity (NRC) and imperfect channel state information (CSI). We consider a…

Information Theory · Computer Science 2018-03-06 Orod Raeesi , Ahmet Gokceoglu , Yaning Zou , Emil Björnson , Mikko Valkama

This paper considers the downlink precoding for physical layer multicasting in massive multiple-input-multiple-output (MIMO) systems. We study the max-min fairness (MMF) problem, where channel state information (CSI) at the transmitter is…

Information Theory · Computer Science 2017-06-01 Meysam Sadeghi , Emil Björnson , Erik G. Larsson , Chau Yuen , Thomas L. Marzetta

We propose a hierarchical interference mitigation scheme for massive MIMO cellular networks. The MIMO precoder at each base station (BS) is partitioned into an inner precoder and an outer precoder. The inner precoder controls the intra-cell…

Information Theory · Computer Science 2015-06-16 An Liu , Vincent Lau

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

The hybrid analog/digital architecture that connects a limited number of RF chains to multiple antennas through phase shifters could effectively address the energy consumption issues in massive multiple-input multiple-output (MIMO) systems.…

Information Theory · Computer Science 2025-01-07 Yifan Guo

Massive MIMO is currently a leading physical layer technology candidate that can dramatically enhance throughput in 5G systems, for both unicast and multicast transmission modalities. As antenna elements are becoming smaller and cheaper in…

Signal Processing · Electrical Eng. & Systems 2020-03-05 Mohamed Salah Ibrahim , Aritra Konar , Nicholas D. Sidiropoulos

Extremely large-scale massive MIMO (XL-MIMO) is a promising technique for future 6G communications.However, existing far-field or near-field channel model mismatches the hybrid-field channel feature in the practical XL-MIMO…

Information Theory · Computer Science 2021-11-23 Xiuhong Wei , Linglong Dai

Massive multiuser multiple-input multiple-output (MU-MIMO) has been the mainstream technology in fifth-generation wireless systems. To reduce high hardware costs and power consumption in massive MU-MIMO, low-resolution digital-to-analog…

Information Theory · Computer Science 2020-06-30 Hengtao He , Mengjiao Zhang , Shi Jin , Chao-Kai Wen , Geoffrey Ye Li

To improve the poor performance of distributed operation and non-scalability of centralized operation in traditional cell-free massive MIMO, we propose a cell-free distributed collaborative (CFDC) massive multiple-input multiple-output…

Signal Processing · Electrical Eng. & Systems 2023-03-30 Jiamin Li , Qijun Pan , Pengcheng Zhu , Dongming Wang , Xiaohu You

Low Earth Orbit (LEO) satellite communication is a critical component in the development of sixth generation (6G) networks. The integration of massive multiple-input multiple-output (MIMO) technology is being actively explored to enhance…

Signal Processing · Electrical Eng. & Systems 2025-11-03 Huibin Zhou , Xinrui Gong , Christos G. Tsinos , Li You , Xiqi Gao , Björn Ottersten

Holographic MIMO (HMIMO) has emerged as a promising solution for future wireless systems by enabling ultra-dense, spatially continuous antenna deployments. While prior studies have primarily focused on electromagnetic (EM) modeling or…

Signal Processing · Electrical Eng. & Systems 2025-10-07 Gayathri Shekar , Saman Atapattu , Prathapasinghe Dharmawansa , Kandeepan Sithamparanathan

The downlink channel state information (CSI) estimation and low overhead acquisition are the major challenges for massive MIMO systems in frequency division duplex to enable high MIMO gain. Recently, numerous studies have been conducted to…

Information Theory · Computer Science 2023-08-07 Mingming Zhao , Lin Liu , Lifu Liu , Mengke Li , Qi Tian

Massive multiple-input multiple-output (MIMO) is expected to be a vital component in future 5G systems. As such, there is a need for new modeling in order to investigate the performance of massive MIMO not only at the physical layer, but…

Signal Processing · Electrical Eng. & Systems 2019-05-13 Emma Fitzgerald , Michał Pióro , Fredrik Tufvesson