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In order to unlock the full advantages of massive multiple input multiple output (MIMO) in the downlink, channel state information (CSI) is required at the base station (BS) to optimize the beamforming matrices. In frequency division duplex…

Information Theory · Computer Science 2021-07-09 Yusha Liu , Osvaldo Simeone

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

In this paper, we propose a novel covariance information-assisted channel state information (CSI) feedback scheme for frequency-division duplex (FDD) massive multi-input multi-output (MIMO) systems. Unlike most existing CSI feedback…

Signal Processing · Electrical Eng. & Systems 2024-12-18 Jialin Zhuang , Xuan He , Yafei Wang , Jiale Liu , Wenjin Wang

Reaping the benefits of multi-antenna communication systems in frequency division duplex (FDD) requires channel state information (CSI) reporting from mobile users to the base station (BS). Over the last decades, the amount of CSI to be…

Information Theory · Computer Science 2025-01-06 Baptiste Chatelier , Vincent Corlay , Matthieu Crussière , Luc Le Magoarou

Despite the success of large language models (LLMs) across domains, their potential for efficient channel state information (CSI) compression and feedback in frequency division duplex (FDD) massive multiple-input multiple-output (mMIMO)…

Information Theory · Computer Science 2026-03-05 Jie Wu , Wei Xu , Le Liang , Xiaohu You , Mérouane Debbah

This paper proposes a hybrid beamforming framework for massive multiple-input multiple-output (MIMO) in near-space airship-borne communications. To achieve high energy efficiency (EE) in energy-constraint airships, a dynamic subarray…

Information Theory · Computer Science 2026-02-10 Ruiqi Wang , Zhen Gao , Keke Ying , Ziwei Wan , Symeon Chatzinotas , Mohamed-Slim Alouini

In this work, we propose an efficient method for channel state information (CSI) adaptive quantization and feedback in frequency division duplexing (FDD) systems. Existing works mainly focus on the implementation of autoencoder (AE) neural…

Signal Processing · Electrical Eng. & Systems 2025-09-05 Valentina Rizzello , Matteo Nerini , Michael Joham , Bruno Clerckx , Wolfgang Utschick

Multiple input multiple output (MIMO) precoding is an efficient scheme that may significantly enhance the communication link. However, this enhancement comes with a cost. Many precoding schemes require channel knowledge at the transmitter…

Information Theory · Computer Science 2009-07-28 Igor Gutman , Doron Ezri , Dov Wulich

Massive multiple-input multiple-output (MIMO) systems require downlink channel state information (CSI) at the base station (BS) to achieve spatial diversity and multiplexing gains. In a frequency division duplex (FDD) multiuser massive MIMO…

Signal Processing · Electrical Eng. & Systems 2020-09-09 Mahdi Boloursaz Mashhadi , Qianqian Yang , Deniz Gunduz

In a frequency division duplex (FDD) massive multiple input multiple output (MIMO) system, the channel state information (CSI) feedback causes a significant bandwidth resource occupation. In order to save the uplink bandwidth resources, a…

Signal Processing · Electrical Eng. & Systems 2019-09-04 Chaojin Qing , Qingyao Yang , Bin Cai , Borui Pan , Jiafan Wang

Accurate channel state information (CSI) feedback plays a vital role in improving the performance gain of massive multiple-input multiple-output (m-MIMO) systems, where the dilemma is excessive CSI overhead versus limited feedback bandwith.…

Signal Processing · Electrical Eng. & Systems 2020-08-18 Yuyao Sun , Wei Xu , Lisheng Fan , Geoffrey Ye Li , George K. Karagiannidis

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

Multi-antenna precoding effectively mitigates the interference in wireless networks. However, the precoding efficiency can be significantly degraded by the overhead due to the required feedback of channel state information (CSI). This paper…

Information Theory · Computer Science 2010-09-20 Kaibin Huang , Rui Zhang

Hybrid multiple-antenna transceivers, which combine large-dimensional analog pre/postprocessing with lower-dimensional digital processing, are the most promising approach for reducing the hardware cost and training overhead in massive MIMO…

Information Theory · Computer Science 2017-05-02 Andreas F. Molisch , Vishnu V. Ratnam , Shengqian Han , Zheda Li , Sinh Le Hong Nguyen , Linsheng Li , Katsuyuki Haneda

Massive multiple-input multiple-output (MIMO) systems hold the potential to be an enabling technology for 5G cellular. Uniform planar array (UPA) antenna structures are a focus of much commercial discussion because of their ability to…

Information Theory · Computer Science 2015-02-04 Junil Choi , Taeyoung Kim , David J. Love , Ji-yun Seol

We consider high-dimensional MIMO transmissions in frequency division duplexing (FDD) systems. For precoding, the frequency selective channel has to be measured, quantized and fed back to the base station by the users. When the number of…

Information Theory · Computer Science 2023-03-24 Jialing Liao , Roope Vehkalahti , Tefjol Pllaha , Wei Han , Olav Tirkkonen

Obtaining down link (DL) channel state information (CSI) at the base station (BS) is challenging for frequencydivision-duplex (FDD) massive MIMO (MM) systems. Considerable overhead is required for DL training and feedback. Instead studies…

Information Theory · Computer Science 2020-11-17 Patrick C. F. Eggers , Stanislav S. Zhekov

Massive MIMO basestations, operating with frequency-division duplexing (FDD), require the users to feedback their channel state information (CSI) in order to design the precoding matrices. Given the powerful capabilities of deep neural…

Information Theory · Computer Science 2024-01-17 Yu Zhang , Ahmed Alkhateeb

There is a fundamental trade-off between the channel representation resolution of codebooks and the overheads of feedback communications in the fifth generation new radio (5G NR) frequency division duplex (FDD) massive multiple-input and…

Signal Processing · Electrical Eng. & Systems 2020-10-23 Kai Li , Ying Li , Lei Cheng , Qingjiang Shi , Zhi-Quan Luo

Unlike the time-division duplexing (TDD) systems, the downlink (DL) and uplink (UL) channels are not reciprocal anymore in the case of frequency-division duplexing (FDD). However, some long-term parameters, e.g. the time delays and angles…

Information Theory · Computer Science 2017-08-02 Xiliang Luo , Penghao Cai , Xiaoyu Zhang , Die Hu , Cong Shen
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