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In frequency division duplex (FDD) massive MIMO systems, a major challenge lies in acquiring the downlink channel state information}\ (CSI) at the base station (BS) from limited feedback sent by the user equipment (UE). To tackle this…

Signal Processing · Electrical Eng. & Systems 2025-09-11 Rajesh Shrestha , Mingjie Shao , Mingyi Hong , Wing-Kin Ma , Xiao Fu

We consider a cell-free Massive multiple-input multiple-output (MIMO) system and investigate the system performance for the case when the quantized version of the estimated channel and the quantized received signal are available at the…

Information Theory · Computer Science 2018-02-09 Manijeh Bashar , Kanapathippillai Cumanan , Alister G. Burr , Hien Quoc Ngo , Merouane Debbah

We consider a downlink cellular network where multi-antenna base stations (BSs) transmit data to single-antenna users by using one of two linear precoding methods with limited feedback: (i) maximum ratio transmission (MRT) for serving a…

Information Theory · Computer Science 2016-11-17 Jeonghun Park , Namyoon Lee , Jeffrey G. Andrews , Robert W. Heath

Massive multiple-input multiple-output (mMIMO) regime reaps the benefits of spatial diversity and multiplexing gains, subject to precise channel state information (CSI) acquisition. In the current communication architecture, the downlink…

Information Theory · Computer Science 2022-08-26 Muhammad Karam Shehzad , Luca Rose , Stefan Wesemann , Mohamad Assaad , Syed Ali Hassan

This paper introduces a practical precoding method for the downlink of Filter Bank Multicarrier-based (FBMC-based) massive multiple-input multiple-output (MIMO) systems. The proposed method comprises a two-stage precoder, consisting of a…

Signal Processing · Electrical Eng. & Systems 2023-11-20 Hamed Hosseiny , Arman Farhang , Behrouz Farhang-Boroujeny

Massive multiple-input multiple-output (MIMO) systems are cellular networks where the base stations (BSs) are equipped with unconventionally many antennas. Such large antenna arrays offer huge spatial degrees-of-freedom for transmission…

Information Theory · Computer Science 2014-03-20 Emil Björnson , Michail Matthaiou , Mérouane Debbah

Considering a heterogeneous network (HetNet) where both macro base station (BS) and small cell (SC) nodes are equipped with massive antennas, this paper studies the performance for multiple-input multiple-output (MIMO) downlinks when the…

Information Theory · Computer Science 2016-08-15 Yongyu Dai , Xiaodai Dong , Hai Lin

We analyze limited feedback in systems where a multiple-antenna transmitter sends signals to single-antenna receivers with finite-bit ADCs. If channel state information (CSI) is not available with high resolution at the transmitter and the…

Information Theory · Computer Science 2016-12-13 Jianhua Mo , Robert W. Heath

We consider a MIMO fading broadcast channel where the fading channel coefficients are constant over time-frequency blocks that span a coherent time $\times$ a coherence bandwidth. In closed-loop systems, channel state information at…

Information Theory · Computer Science 2009-12-11 Mari Kobayashi , Nihar Jindal , Giuseppe Caire

In this paper, we have investigated the application of non-binary LDPC codes to spatial multiplexing MIMO systems with a large number of low power antennas. We demonstrate that such large MIMO systems incorporating with low-complexity MMSE…

Information Theory · Computer Science 2012-03-06 Puripong Suthisopapan , Kenta Kasai , Anupap Meesomboon , Virasit Imtawil

We propose a precoder codebook construction and feedback encoding scheme which is based on Gaussian mixture models (GMMs). In an offline phase, the base station (BS) first fits a GMM to uplink (UL) training samples. Thereafter, it designs a…

Information Theory · Computer Science 2022-05-25 Nurettin Turan , Michael Koller , Benedikt Fesl , Samer Bazzi , Wen Xu , Wolfgang Utschick

We study a deep learning (DL) based limited feedback methods for multi-antenna systems. Deep neural networks (DNNs) are introduced to replace an end-to-end limited feedback procedure including pilot-aided channel training process, channel…

Information Theory · Computer Science 2019-12-20 Jeonghyeon Jang , Hoon Lee , Sangwon Hwang , Haibao Ren , Inkyu 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

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

In this paper, we propose a feedback-efficient hybrid precoding framework for wideband millimeter-wave (mmWave) multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems. To mitigate the high cost of…

Information Theory · Computer Science 2026-05-05 Po-Heng Chou , Jia-Qing Lin , Wan-Jen Huang , Ronald Y. Chang

Recent works on massive multiple-input multiple-output (MIMO) have shown that a potential breakthrough in capacity gains can be achieved by deploying a very large number of antennas at the basestation. In order to achieve the performance…

Information Theory · Computer Science 2016-11-15 Byungju Lee , Junil Choi , Ji-yun Seol , David J. Love , Byonghyo Shim

In this paper, we consider the uplink channel estimation phase and downlink data transmission phase of cell-free millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems with low-capacity fronthaul links and…

Information Theory · Computer Science 2022-11-01 In-soo Kim , Mehdi Bennis , Junil Choi

Opportunistic scheduling and beamforming schemes have been proposed previously by the authors for reduced-feedback MIMO-OFDMA downlink systems where the MIMO channel of each subcarrier is decomposed into layered spatial subchannels. It has…

Information Theory · Computer Science 2009-06-23 Man-On Pun , Kyeong Jin Kim , Ronald Iltis , H. Vincent Poor

To improve the poor performance of distributed operation and non-scalability of centralized operation in traditional cell-free massive MIMO, we propose a cell-free distributed collaborative (CFDC) massive multiple-input multiple-output…

Signal Processing · Electrical Eng. & Systems 2023-03-30 Jiamin Li , Qijun Pan , Pengcheng Zhu , Dongming Wang , Xiaohu You

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
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