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In diffusion-based communication, as for molecular systems, the achievable data rate is low due to the stochastic nature of diffusion which exhibits a severe inter-symbol-interference (ISI). Multiple-Input Multiple-Output (MIMO)…

Information Theory · Computer Science 2019-04-26 S. M. Reza Rouzegar , Umberto Spagnolini

We consider channel estimation for an uplink massive multiple-input multiple-output (MIMO) system where the base station (BS) uses an array with low-resolution (1-2 bit) analog-to-digital converters and a spatial Sigma-Delta…

Signal Processing · Electrical Eng. & Systems 2021-07-15 Shilpa Rao , Gonzalo Seco-Granados , Hessam Pirzadeh , Josef A. Nossek , A. Lee Swindlehurst

This paper considers multiple-input multiple-output (MIMO) relay communication in multi-cellular (interference) systems in which MIMO source-destination pairs communicate simultaneously. It is assumed that due to severe attenuation and/or…

Information Theory · Computer Science 2017-03-28 Muhammad R A Khandaker , Kai-Kit Wong

This paper presents new results on linear transceiver designs in a multiple-input-multiple-output (MIMO) link. By considering the minimal total mean-square error (MSE) criterion, we prove that the robust optimal linear transceiver design…

Signal Processing · Electrical Eng. & Systems 2020-03-04 Hongying Tang , Wen Chen , Jun Li

Cell-Free Massive MIMO is a highly promising approach to enhance network capacity by moving a large number of distributed access points (AP) closer to mobile users while utilizing simple matched filtering and conjugate beamforming. Recent…

Information Theory · Computer Science 2020-12-01 Indu L. Shakya , Falah H. Ali

In this paper, we study the optimality of the Bussgang linear minimum mean squared error (BLMMSE) channel estimator for multiple-input multiple-output systems with 1-bit analog-to-digital converters. We compare the BLMMSE with the optimal…

Signal Processing · Electrical Eng. & Systems 2024-07-22 Minhua Ding , Italo Atzeni , Antti Tölli , A. Lee Swindlehurst

This paper quantifies the benefits and limitations of cooperative communications by providing a statistical analysis of the downlink in network multiple-input multiple-output (MIMO) systems. We consider an idealized model where the…

Information Theory · Computer Science 2016-08-24 Kianoush Hosseini , Wei Yu , Raviraj S. Adve

In this paper, we present a Bayesian channel estimation algorithm for multicarrier receivers based on pilot symbol observations. The inherent sparse nature of wireless multipath channels is exploited by modeling the prior distribution of…

Machine Learning · Statistics 2013-03-07 Niels Lovmand Pedersen , Carles Navarro Manchón Bernard Henri Fleury

This paper proposes a novel Bayesian reciprocity calibration method that consistently ensures uplink and downlink channel reciprocity in repeater-assisted multiple-input multiple-output (MIMO) systems. The proposed algorithm is formulated…

Signal Processing · Electrical Eng. & Systems 2026-02-06 Shoma Hara , Takumi Takahashi , Hiroki Iimori , Hideki Ochiai , Erik G. Larsson

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

Efficient channel estimation is challenging in full-dimensional multiple-input multiple-output communication systems, particularly in those with hybrid digital-analog architectures. Under a compressive sensing framework, this letter first…

Information Theory · Computer Science 2021-12-30 Hongqing Huang , Peiran Wu , Minghua Xia

The fundamental task of a digital receiver is to decide the transmitted symbols in the best possible way, i.e., with respect to an appropriately defined performance metric. Examples of usual performance metrics are the probability of error…

Information Theory · Computer Science 2013-03-19 Dimitrios Katselis , Cristian R. Rojas , Håkan Hjalmarsson , Mats Bengtsson , Mikael Skoglund

In this paper, we investigate a channel estimation problem in a downlink millimeter-wave (mmWave) multiple-input multiple-output (MIMO) system, which suffers from impulsive interference caused by hardware non-idealities or external…

Information Theory · Computer Science 2025-11-05 Kwonyeol Park , Gyoseung Lee , Hyeongtaek Lee , Hwanjin Kim , Junil Choi

This paper studies a two-layer decoding method that mitigates inter-cell interference in multi-cell Massive MIMO systems. In layer one, each base station (BS) estimates the channels to intra-cell users and uses the estimates for local…

Information Theory · Computer Science 2019-03-19 Trinh Van Chien , Christopher Mollén , Emil Björnson

Using Gaussian inputs and treating interference as noise at the receivers has recently been shown to be sum capacity achieving for the two-user single-input single-output (SISO) Gaussian interference channel in a low interference regime,…

Information Theory · Computer Science 2010-10-25 V. Sreekanth Annapureddy , Venugopal V. Veeravalli

In this paper, robust transceiver design based on minimum-mean-square-error (MMSE) criterion for dual-hop amplify-and-forward MIMO relay systems is investigated. The channel estimation errors are modeled as Gaussian random variables, and…

Information Theory · Computer Science 2016-11-17 Chengwen Xing , Shaodan Ma , Yik-Chung Wu , Tung-Sang Ng

We consider linear precoding and decoding in the downlink of a multiuser multiple-input, multiple-output (MIMO) system, wherein each user may receive more than one data stream. We propose several mean squared error (MSE) based criteria for…

Information Theory · Computer Science 2009-02-10 Adam J. Tenenbaum , Raviraj S. Adve

In this paper, we investigate the system performance of a multi-cell multi-user (MU) hybrid millimeter wave (mmWave) communications in a multiple-input multiple-output (MIMO) network. Due to the reuse of pilot symbols among different cells,…

Information Theory · Computer Science 2018-06-08 Lou Zhao , Zhiqiang Wei , Derrick Wing Kwan Ng , Jinhong Yuan , Mark C. Reed

In this paper, we study joint antenna activity detection, channel estimation, and multiuser detection for massive multiple-input multiple-output (MIMO) systems with general spatial modulation (GSM). We first establish a double-sparsity…

Information Theory · Computer Science 2019-10-28 Xiaoyan Kuai , Xiaojun Yuan , Wenjing Yan , Hang Liu , Ying Jun , Zhang

We consider minimum mean square error (MMSE) joint precoder and combiner design for single and multi carrier distributed beamforming systems with nonuniform per-antenna transmit power constraints. We show that, similar to the maximum-gain…

Signal Processing · Electrical Eng. & Systems 2019-05-03 Riten Gupta , Han Yan , Danijela Cabric
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