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When operating massive multiple-input multiple-output (MIMO) systems with uplink (UL) and downlink (DL) channels at different frequencies (frequency division duplex (FDD) operation), acquisition of channel state information (CSI) for…

Information Theory · Computer Science 2022-09-23 Florian Euchner , Niklas Süppel , Marc Gauger , Sebastian Dörner , Stephan ten Brink

Time Divison Duplex (TDD) wireless communication systems are inherently bidirectional, which facilitates exploiting channel reciprocity for pilot based channel estimation of both uplink and downlink. However, there exists a gross asymmetry…

Signal Processing · Electrical Eng. & Systems 2020-07-23 Arun Kumar Miryala , Irina Merin Baby , Kumar Appaiah , Sibi Raj B. Pillai

In this paper, we propose to improve the performance of the channel estimation for LTE Downlink systems under the effect of the channel length. As LTE Downlink system is a MIMO-OFDMA based system, a cyclic prefix (CP) is inserted at the…

Networking and Internet Architecture · Computer Science 2012-01-11 Abdelhakim Khlifi , Ridha Bouallegue

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

Accurate and efficient estimation of the high dimensional channels is one of the critical challenges for practical applications of massive multiple-input multiple-output (MIMO). In the context of hybrid analog-digital (HAD) transceivers,…

Information Theory · Computer Science 2022-02-08 Jiabao Gao , Caijun Zhong , Geoffrey Ye Li , Zhaoyang Zhang

In frequency-division duplexing systems, the downlink channel state information (CSI) acquisition scheme leads to high training and feedback overheads. In this paper, we propose an uplink-aided downlink channel acquisition framework using…

Information Theory · Computer Science 2024-10-28 Jiajia Guo , Chao-Kai Wen , Shi Jin

Massive MIMO is one of the main features of 5G mobile radio systems. However, it often leads to high cost, size and power consumption. To overcome these issues, the use of constrained radio frequency (RF) frontends has been proposed, as…

Signal Processing · Electrical Eng. & Systems 2021-11-16 Brenda Vilas Boas , Wolfgang Zirwas , Martin Haardt

Estimating downlink (DL) channel state information (CSI) in frequency division duplex (FDD) massive multi-input multi-output (MIMO) systems generally requires downlink pilots and feedback overheads. Accordingly, this paper investigates the…

Signal Processing · Electrical Eng. & Systems 2020-11-12 Thomas Choi , François Rottenberg , Jorge Gomez-Ponce , Akshay Ramesh , Peng Luo , Jianzhong Zhang , Andreas F. Molisch

The flexible duplex (FD) technique, including dynamic time-division duplex (D-TDD) and dynamic frequency-division duplex (D-FDD), is regarded as a promising solution to achieving a more flexible uplink/downlink transmission in 5G-Advanced…

Artificial Intelligence · Computer Science 2023-04-26 Jing-Sheng Tan , Shaoshi Yang , Kuo Meng , Jianhua Zhang , Yurong Tang , Yan Bu , Guizhen Wang

Full-dimensional (FD) channel state information at transmitter (CSIT) has always been a major limitation of the spectral efficiency of cellular multi-input multi-output (MIMO) networks. This letter proposes an FD-directional spatial channel…

Information Theory · Computer Science 2018-06-12 Ali A. Esswie , Octavia A. Dobre , Salama Ikki

A method for channel estimation in wideband massive Multiple-Input Multiple-Output (MIMO) systems using covariance identification is developed. The method is useful for Frequency-Division Duplex (FDD) at either sub-6GHz or millimeter wave…

Signal Processing · Electrical Eng. & Systems 2024-10-30 José González-Coma , Pedro Suárez-Casal , Paula M. Castro , Luis Castedo , Michael Joham

We propose a novel method for massive Multiple-Input Multiple-Output (massive MIMO) in Frequency Division Duplexing (FDD) systems. Due to the large frequency separation between Uplink (UL) and Downlink (DL), in FDD systems channel…

Information Theory · Computer Science 2018-08-28 Mahdi Barzegar Khalilsarai , Saeid Haghighatshoar , Xinping Yi , Giuseppe Caire

We consider the downlink of a MIMO-OFDM wireless systems where the base-station (BS) has M antennas and serves K single-antenna user terminals (UT) with K larger than or equal to M. Users estimate their channel vectors from common downlink…

Information Theory · Computer Science 2008-12-01 Hooman Shirani-Mehr , Daniel N. Liu , Giuseppe Caire

In this paper, we tackle for the first time the problem of maximum likelihood (ML) estimation of the signal-to-noise ratio (SNR) parameter over time-varying single-input multiple-output (SIMO) channels. Both the data-aided (DA) and the…

Applications · Statistics 2014-11-19 Faouzi Bellili , Rabii Meftehi , Sofiene Affes , Alex Stephenne

Channel estimation is not only essential to highly reliable data transmission and massive device access but also an important component of the integrated sensing and communication (ISAC) in the sixth-generation (6G) mobile communication…

Signal Processing · Electrical Eng. & Systems 2025-06-10 Wanyuan Cai , Xiaoping Jin , Youming Li , Menglei Sheng , Mingjun Huang , Qinke Qi , Qiang Guo

We present an analytical framework for the channel estimation and the data detection in massive multiple-input multiple-output uplink systems with 1-bit analog-to-digital converters (ADCs) and i.i.d. Rayleigh fading. First, we provide…

Information Theory · Computer Science 2021-11-17 Italo Atzeni , Antti Tölli

Time-division duplex (TDD) based massive MIMO systems rely on the reciprocity of the wireless propagation channels when calculating the downlink precoders based on uplink pilots. However, the effective uplink and downlink channels…

Information Theory · Computer Science 2018-05-09 Orod Raeesi , Ahmet Gokceoglu , Mikko Valkama

This paper is concerned with the channel estimation problem in Millimeter wave (mmWave) wireless systems with large antenna arrays. By exploiting the inherent sparse nature of the mmWave channel, we first propose a fast channel estimation…

Information Theory · Computer Science 2016-11-17 Matthew Kokshoorn , He Chen , Peng Wang , Yonghui Li , Branka Vucetic

In this paper, we study Full Duplex (FD) Multiple-Input Multiple-Output (MIMO) radios for simultaneous data communication and control information exchange. Capitalizing on a recently proposed FD MIMO architecture combining digital transmit…

Information Theory · Computer Science 2020-03-17 Md Atiqul Islam , George C. Alexandropoulos , Besma Smida

In this paper, we study the beamforming design problem in frequency-division duplexing (FDD) downlink massive MIMO systems, where instantaneous channel state information (CSI) is assumed to be unavailable at the base station (BS). We…

Information Theory · Computer Science 2020-03-09 Hang Liu , Xiaojun Yuan , Ying Jun , Zhang