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We study channel state information (CSI) compression for wideband frequency division duplex massive multiple-input multiple-output (MIMO) when the base station (BS) reconstructs CSI using an imperfect covariance model. Under matched…

Information Theory · Computer Science 2026-04-21 Bumsu Park , Youngmok Park , Chanho Park , Namyoon Lee

This paper establishes the theoretical limits of channel state information (CSI) feedback in frequency-division duplexing (FDD) multi-antenna orthogonal frequency-division multiplexing (OFDM) systems under finite-length training with…

Information Theory · Computer Science 2026-02-09 Shuao Chen , Junyuan Gao , Yuxuan Shi , Yongpeng Wu , Giuseppe Caire , H. Vincent Poor , Wenjun Zhang

Downlink massive multiple-input multiple-output (MIMO) precoding algorithms in frequency division duplexing (FDD) systems rely on accurate channel state information (CSI) feedback from users. In this paper, we analyze the tradeoff between…

Information Theory · Computer Science 2023-10-25 Fabrizio Carpi , Sivarama Venkatesan , Jinfeng Du , Harish Viswanathan , Siddharth Garg , Elza Erkip

Channel state information (CSI) feedback in frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) systems is fundamentally limited by the high dimensionality of wideband channels. In this paper, we model the stacked…

Information Theory · Computer Science 2026-03-17 Bumsu Park , Youngmok Park , Chanho Park , Namyoon Lee

In frequency-division duplexing (FDD) multiple-input multiple-output (MIMO) systems, obtaining accurate downlink channel state information (CSI) for precoding is vastly challenging due to the tremendous feedback overhead with the growing…

Signal Processing · Electrical Eng. & Systems 2024-05-15 Jungyeon Kim , Jinseok Choi , Jeonghun Park , Ahmed Alkhateeb , Namyoon Lee

In frequency division duplex (FDD) multiple-input multiple-output (MIMO) wireless communication systems, the acquisition of downlink channel state information (CSI) is essential for maximizing spatial resource utilization and improving…

Signal Processing · Electrical Eng. & Systems 2025-04-16 Yiran Guo , Wei Chen , Bo Ai

Massive multiple-input multiple-output (MIMO) is widely recognized as a promising technology for future 5G wireless communication systems. To achieve the theoretical performance gains in massive MIMO systems, accurate channel state…

Information Theory · Computer Science 2017-01-30 Wenqian Shen , Linglong Dai , Yi Shi , Byonghyo Shim , Zhaocheng Wang

In frequency division duplex (FDD) systems, acquiring channel state information (CSI) at the base station (BS) traditionally relies on limited feedback from mobile terminals (MTs). However, the accuracy of channel reconstruction from…

Information Theory · Computer Science 2025-03-10 Yunseo Nam , Jiwook Choi

To fully unlock the benefits of multiple-input multiple-output (MIMO) networks, downlink channel state information (CSI) is required at the base station (BS). In frequency division duplex (FDD) systems, the CSI is acquired through a…

Information Theory · Computer Science 2023-05-23 Matteo Nerini , Valentina Rizzello , Michael Joham , Wolfgang Utschick , Bruno Clerckx

In this paper, we propose a variable-length wideband channel state information (CSI) feedback scheme for Frequency Division Duplex (FDD) massive multiple-input multipleoutput (MIMO) systems in U6G band (6425MHz-7125MHz). Existing…

Signal Processing · Electrical Eng. & Systems 2026-01-14 Meilin Li , Wei Xu , Zhixiang Hu , An Liu

In frequency division duplex (FDD) multiple-input multiple-output (MIMO) wireless communications, limited channel state information (CSI) feedback is a central tool to support advanced single- and multi-user MIMO beamforming/precoding. To…

Information Theory · Computer Science 2020-10-22 Stefan Schwarz

We study the problem of providing channel state information (CSI) at the transmitter in multi-user massive MIMO systems operating in frequency division duplexing (FDD). The wideband MIMO channel is a vector-valued random process correlated…

Information Theory · Computer Science 2022-07-22 Mahdi Barzegar Khalilsarai , Yi Song , Tianyu Yang , Giuseppe Caire

The great potentials of massive Multiple-Input Multiple-Output (MIMO) in Frequency Division Duplex (FDD) mode can be fully exploited when the downlink Channel State Information (CSI) is available at base stations. However, the accurate CSI…

Information Theory · Computer Science 2024-10-30 Jiajia Guo , Tong Chen , Shi Jin , Geoffrey Ye Li , Xin Wang , Xiaolin Hou

Transmitter channel state information (CSIT) is indispensable for the spectral efficiency gains offered by massive multiple-input multiple-output (MIMO) systems. In a frequency-division-duplexing (FDD) massive MIMO system, CSIT is typically…

Information Theory · Computer Science 2023-02-10 Deokhwan Han , Jeonghun Park , Namyoon Lee

Channel state information (CSI) feedback is necessary for the frequency division duplexing (FDD) multiple input multiple output (MIMO) systems due to the channel non-reciprocity. With the help of deep learning, many works have succeeded in…

Information Theory · Computer Science 2023-02-07 Zhilin Lu , Xudong Zhang , Rui Zeng , Jintao Wang

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

We consider the problem of estimating channel fading coefficients (modeled as a correlated Gaussian vector) via Downlink (DL) training and Uplink (UL) feedback in wideband FDD massive MIMO systems. Using rate-distortion theory, we derive…

Information Theory · Computer Science 2022-02-04 Mahdi Barzegar Khalilsarai , Yi Song , Tianyu Yang , Giuseppe Caire

Coded caching provides significant gains over conventional uncoded caching by creating multicasting opportunities among distinct requests. Massive multiple-input multiple-output (MIMO) systems require downlink channel state information…

Information Theory · Computer Science 2019-07-08 Qianqian Yang , Mahdi Boloursaz Mashhadi , Deniz Gündüz

The acquisition of Downlink (DL) channel state information at the transmitter (CSIT) is known to be a challenging task in multiuser massive MIMO systems when uplink/downlink channel reciprocity does not hold (e.g., in frequency division…

Information Theory · Computer Science 2025-06-13 Yi Song , Tianyu Yang , Mahdi Barzegar Khalilsarai , Giuseppe Caire

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
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