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Related papers: Capacity Optimal Generalized Multi-User MIMO: A Th…

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Multiuser massive multiple-input multiple-output (MU-MIMO) systems can be used to meet high throughput requirements of 5G and beyond networks. In an uplink MUMIMO system, a base station is serving a large number of users, leading to a…

Information Theory · Computer Science 2022-01-12 Alva Kosasih , Vincent Onasis , Wibowo Hardjawana , Vera Miloslavskaya , Victor Andrean , Jenq-Shiou Leuy , Branka Vucetic

Flexible numerologies are being considered as part of designs for 5G systems to support vertical services with diverse requirements such as enhanced mobile broadband, ultra-reliable low-latency communications, and massive machine type…

Information Theory · Computer Science 2016-10-12 Sridhar Rajagopal , Md. Saifur Rahman

The theory of multiple-input multiple-output (MIMO) technology has been well-developed to increase fading channel capacity over single-input single-output (SISO) systems. This capacity gain can often be leveraged by utilizing channel state…

Information Theory · Computer Science 2008-02-25 Il Han Kim , David J. Love

A multi-input multi-output (MIMO) Gaussian channel with two transmit antennas and two receive antennas is studied that is subject to an input peak-power constraint. The capacity and the capacity-achieving input distribution are unknown in…

Information Theory · Computer Science 2024-01-31 Alex Dytso , Luca Barletta , Gerhard Kramer

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

Information Theory · Computer Science 2015-07-28 Ning Liang , Wenyi Zhang

In this paper, we propose a new multiple-input multiple-output (MIMO) communication system with movable antennas (MAs) to exploit the antenna position optimization for enhancing the capacity. Different from conventional MIMO systems with…

Information Theory · Computer Science 2022-10-12 Wenyan Ma , Lipeng Zhu , Rui Zhang

In this paper, we study the capacity of the two-user multiple-input multiple-output (MIMO) linear deterministic interference channel (IC), with possible correlations within/between the channel matrices. The capacity region is characterized…

Information Theory · Computer Science 2012-07-10 Xiaoli Xu , Yong Zeng , Yong Liang Guan , Tracey Ho

Coarse quantization at the base station (BS) of a massive multi-user (MU) multiple-input multiple-output (MIMO) wireless system promises significant power and cost savings. Coarse quantization also enables significant reductions of the raw…

Information Theory · Computer Science 2016-04-21 Christoph Studer , Giuseppe Durisi

We propose a cellular architecture that combines multiuser MIMO (MU-MIMO) downlink with opportunistic use of unlicensed ISM bands to establish device-to-device (D2D) cooperation. The architecture consists of a physical-layer cooperation…

Information Theory · Computer Science 2017-03-08 Can Karakus , Suhas Diggavi

Massive multi-user (MU) multiple-input multiple- output (MIMO) is widely believed to be a core technology for the upcoming fifth-generation (5G) wireless communication standards. The use of low-precision digital-to-analog converters (DACs)…

Information Theory · Computer Science 2016-12-09 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Tom Goldstein , Christoph Studer

Massive multiuser (MU) multiple-input multiple-output (MIMO) will be a core technology in fifth-generation (5G) wireless systems as it offers significant improvements in spectral efficiency compared to existing multi-antenna technologies.…

Information Theory · Computer Science 2017-11-09 Oscar Castañeda , Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Tom Goldstein , Christoph Studer

In this paper, the problem of training optimization for estimating a multiple-input multiple-output (MIMO) flat fading channel in the presence of spatially and temporally correlated Gaussian noise is studied in an application-oriented…

Owing to the structure of the Gaussian multiple-input multiple-output (MIMO) broadcast channel (BC), associated optimization problems such as capacity region computation and beamforming optimization are typically non-convex, and cannot be…

Information Theory · Computer Science 2008-09-25 Lan Zhang , Rui Zhang , Ying-Chang Liang , Yan Xin , H. Vincent Poor

The two-user multiple-input multiple-output (MIMO) Gaussian broadcast channel (BC) with common, private and confidential messages is considered. The transmitter sends a common message to both users, a confidential message to User 1 and a…

Information Theory · Computer Science 2019-05-29 Ziv Goldfeld , Haim H. Permuter

We propose equalization-based data detection algorithms for all-digital millimeter-wave (mmWave) massive multiuser multiple-input multiple-out (MU-MIMO) systems that exploit sparsity in the beamspace domain to reduce complexity. We provide…

Signal Processing · Electrical Eng. & Systems 2020-03-19 Seyed Hadi Mirfarshbafan , Christoph Studer

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

The multi-user Holographic Multiple-Input and Multiple-Output Surface (MU-HMIMOS) paradigm, which is capable of realizing large continuous apertures with minimal power consumption, has been recently considered as an energyefficient solution…

Information Theory · Computer Science 2022-09-14 Li Wei , Chongwen Huang , George C. Alexandropoulos , Wei E. I. Sha , Zhaoyang Zhang , Merouane Debbah , Chau Yuen

Consumer electronic (CE) devices increasingly rely on wireless local area networks (WLANs). Next generation WLANs will continue to exploit multiple antenna systems to satisfy the growing need for WLAN system capacity. Multiple-input…

Signal Processing · Electrical Eng. & Systems 2018-12-05 Xiaofu Ma , Qinghai Gao , Ji Wang , Vuk Marojevic , Jeffrey H. Reed

We investigate quantization and feedback of channel state information in a multiuser (MU) multiple input multiple output (MIMO) system. Each user may receive multiple data streams. Our design minimizes the sum mean squared error (SMSE)…

Information Theory · Computer Science 2011-11-30 Muhammad Nazmul Islam , Raviraj Adve

We investigate the capacity region of multi-user interference channels (IC), where each user encodes multiple sub-user components. By unifying chain-rule decomposition with the Entropy Power Inequality (EPI), we reason that single-user…

Information Theory · Computer Science 2025-01-28 Sagnik Bhattacharya , Abhiram Rao Gorle , Muhammad Ali Mohsin , John M. Cioffi
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