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We propose a subspace constrained precoding scheme that exploits the spatial channel correlation structure in massive MIMO cellular systems to fully unleash the tremendous gain provided by massive antenna array with reduced channel state…

Information Theory · Computer Science 2016-11-17 An Liu , Vincent Lau

We consider downlink (DL) channel estimation for frequency division duplex based massive MIMO systems under the multipath model. Our goal is to provide fast and accurate channel estimation from a small amount of DL training overhead. Prior…

Signal Processing · Electrical Eng. & Systems 2019-10-23 Cheng Qian , Xiao Fu , Nicholas D. Sidiropoulos

In this paper we consider strategies for MIMO interference channels which combine the notions of interference alignment and channel pre-inversion. Users collaborate to form data-sharing groups, enabling them to clear interference within a…

Information Theory · Computer Science 2015-02-03 David Karpuk , Peter Moss

This paper focuses on robust transceiver design for throughput enhancement on the interference channel (IC), under imperfect channel state information (CSI). In this paper, two algorithms are proposed to improve the throughput of the…

Information Theory · Computer Science 2018-04-02 Ali Dalir , Hassan Aghaeinia , Mohammad Kazemi

In this paper, we propose an inverse-kinematics controller for a class of multi-robot systems in the scenario of sampled communication. The goal is to make a group of robots perform trajectory tracking in a coordinated way when the sampling…

Robotics · Computer Science 2025-02-11 Enrica Rossi , Marco Tognon , Luca Ballotta , Ruggero Carli , Juan Cortés , Antonio Franchi , Luca Schenato

Hardware impairments, such as phase noise, quantization errors, non-linearities, and noise amplification, have baneful effects on wireless communications. In this paper, we investigate the effect of hardware impairments on multipair massive…

Information Theory · Computer Science 2017-08-03 Ying Liu , Xipeng Xue , Jiayi Zhang , Xu Li , Linglong Dai , Shi Jin

The mutual interference between similar radar systems can result in reduced radar sensitivity and increased false alarm rates. To address the synchronous and asynchronous interference mitigation problems in similar radar systems, we first…

Signal Processing · Electrical Eng. & Systems 2022-08-10 Arindam Bose , Bo Tang , Wenjie Huang , Mojtaba Soltanalian , Jian Li

Fully digital massive MIMO systems with large numbers (1000+) of antennas offer dramatically increased capacity gains from spatial multiplexing and beamforming. Designing digital receivers that can scale to these array dimensions presents…

Signal Processing · Electrical Eng. & Systems 2026-04-23 Ali Rasteh , Amirreza Kiani , Marco Mezzavilla , Sundeep Rangan

This paper concerns the feasibility of full-duplex large-scale multiple-input-multiple-output (MIMO) cellular systems. We first propose a pilot transmission scheme and assess its performance, specifically the ergodic sum-rate. The proposed…

Information Theory · Computer Science 2017-11-23 Jeongwan Koh , Yeon-Geun Lim , Chan-Byoung Chae , Joonhyuk Kang

In this paper, a deterministic equivalent of ergodic sum rate and an algorithm for evaluating the capacity-achieving input covariance matrices for the uplink large-scale multiple-input multiple-output (MIMO) antenna channels are proposed.…

Information Theory · Computer Science 2016-11-18 Jun Zhang , Chao-Kai Wen , Shi Jin , Xiqi Gao , Kai-Kit Wong

We consider the massive MIMO downlink with time-division duplex (TDD) operation and conjugate beamforming transmission. To reliably decode the desired signals, the users need to know the effective channel gain. In this paper, we propose a…

Information Theory · Computer Science 2015-04-01 Hien Quoc Ngo , Erik G. Larsson

Radio-frequency (RF) impairments, which intimately exist in wireless communication systems, can severely limit the performance of multiple-input multiple-output (MIMO) systems. Although we can resort to compensation schemes to mitigate part…

Information Theory · Computer Science 2015-03-31 Xinlin Zhang , Michail Matthaiou , Mikael Coldrey , Emil Björnson

Low-complexity precoding {algorithms} are proposed in this work to reduce the computational complexity and improve the performance of regularized block diagonalization (RBD) {based} precoding {schemes} for large multi-user {MIMO} (MU-MIMO)…

Information Theory · Computer Science 2013-04-25 Keke Zu , Rodrigo C. de Lamare , Martin Haardt

This paper proposes a new channel estimation scheme for the multiuser massive multiple-input multiple-output (MIMO) systems in time-varying environment. We introduce a discrete Fourier transform (DFT) aided spatial-temporal basis expansion…

Information Theory · Computer Science 2016-11-01 Hongxiang Xie , Feifei Gao , Shun Zhang , Shi Jin

There has been extensive research on large scale multi-user multiple-input multiple-output (MU-MIMO) systems recently. Researchers have shown that there are great opportunities in this area, however, there are many obstacles in the way to…

Information Theory · Computer Science 2018-01-29 Mehdi Ganji , Hamid Jafarkhani

When the users in a MIMO broadcast channel experience different spatial transmit correlation matrices, a class of gains is produced that is denoted transmit correlation diversity. This idea was conceived for channels in which transmit…

Information Theory · Computer Science 2021-04-21 Fan Zhang , Khac-Hoang Ngo , Sheng Yang , Aria Nosratinia

Maximum Likelihood (ML) algorithms, for the joint estimation of synchronization impairments and channel in Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system, are investigated in this work. A system…

Information Theory · Computer Science 2012-10-30 Renu Jose , K. V. S. Hari

In this paper, we investigate the energy efficient power allocation for the downlink in the massive multiple-input multiple-output (MIMO) systems under zero-forcing (ZF) receiver. The radio frequencies (RF) that have a significant effect on…

Signal Processing · Electrical Eng. & Systems 2021-08-24 Mahdi Nangir , Abdolrasoul Sakhaei Gharagezlou , Nima Imani

We propose a novel pilot structure for covariance matrix estimation in massive multiple-input multiple-output (MIMO) systems in which each user transmits two pilot sequences, with the second pilot sequence multiplied by a random…

Information Theory · Computer Science 2018-04-04 Karthik Upadhya , Sergiy A. Vorobyov

We consider a bidirectional in-band full-duplex (FD) multiple-input multiple-output (MIMO) system subject to imperfect channel state information (CSI), hardware distortion, and limited analog cancellation capability as well as the…

Signal Processing · Electrical Eng. & Systems 2020-06-09 Hiroki Iimori , Giuseppe Thadeu Freitas de Abreu , Koji Ishibashi