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The design of precoding plays a crucial role in achieving a high downlink sum-rate in multiuser multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. In this correspondence, we propose a deep…

Information Theory · Computer Science 2024-04-26 Yiran Guo , Wei Chen , Jialong Xu , Lun Li , Bo Ai

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

Large number of antennas and radio frequency (RF) chains at the base stations (BSs) lead to high energy consumption in massive MIMO systems. Thus, how to improve the energy efficiency (EE) with a computationally efficient approach is a…

Information Theory · Computer Science 2020-10-28 Mangqing Guo , M. Cenk Gursoy

A major obstacle for widespread deployment of frequency division duplex (FDD)-based Massive multiple-input multiple-output (MIMO) communications is the large signaling overhead for reporting full downlink (DL) channel state information…

Information Theory · Computer Science 2019-01-14 Maximilian Arnold , Sebastian Dörner , Sebastian Cammerer , Sarah Yan , Jakob Hoydis , Stephan ten Brink

Channel state information (CSI) is important to reap the full benefits of millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems. The traditional channel estimation methods using pilot frames (PF) lead to excessive…

Signal Processing · Electrical Eng. & Systems 2024-01-04 Shusen Cai , Li Chen , Yunfei Chen , Huarui Yin , Weidong Wang

Channel state information (CSI) acquisition is a significant bottleneck in the design of Massive MIMO wireless systems, due to the length of the training sequences required to distinguish the antennas (in the downlink) and the users (for…

Information Theory · Computer Science 2016-09-12 Beatrice Tomasi , Alexis Decurninge , Maxime Guillaud

Massive multiple-input multiple-output (MIMO) systems rely on channel state information (CSI) feedback to perform precoding and achieve performance gain in frequency division duplex (FDD) networks. However, the huge number of antennas poses…

Information Theory · Computer Science 2018-08-01 Tianqi Wang , Chao-Kai Wen , Shi Jin , Geoffrey Ye Li

In this paper, a practical precoding method for the downlink of filter bank multicarrier-based (FBMC-based) massive multiple-input multiple-output (MIMO) is developed. The proposed method includes a two-stage precoder consisting of a…

Signal Processing · Electrical Eng. & Systems 2022-01-27 Hamed Hosseiny , Arman Farhang , Behrouz Farhang-Boroujeny

We propose a method for MIMO decoding when channel state information (CSI) is unknown to both the transmitter and receiver. The proposed method requires some structure in the transmitted signal for the decoding to be effective, in…

Signal Processing · Electrical Eng. & Systems 2018-02-06 Thomas R. Dean , Mary Wootters , Andrea J. Goldsmith

Obtaining accurate global channel state information (CSI) at multiple transmitter devices is critical to the performance of many coordinated transmission schemes. Practical CSI local feedback often leads to noisy and partial CSI estimates…

Information Theory · Computer Science 2017-03-22 Qianrui Li , David Gesbert , Nicolas Gresset

In this paper, we propose low complexity algorithms based on Markov chain Monte Carlo (MCMC) technique for signal detection and channel estimation on the uplink in large scale multiuser multiple input multiple output (MIMO) systems with…

Information Theory · Computer Science 2012-01-31 Tanumay Datta , N. Ashok Kumar , A. Chockalingam , B. Sundar Rajan

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

This paper presents a large-system analysis of the performance of joint channel estimation, multiuser detection, and per-user decoding (CE-MUDD) for randomly-spread multiple-input multiple-output (MIMO) direct-sequence code-division…

Information Theory · Computer Science 2016-11-15 Keigo Takeuchi , Mikko Vehkaperae , Toshiyuki Tanaka , Ralf R. Mueller

Understanding the performance of multi-user multiple-input multiple-output (MU-MIMO) systems under imperfect channel state information at the transmitter (CSIT) remains a critical challenge in next-generation wireless networks. In this…

Signal Processing · Electrical Eng. & Systems 2026-02-06 Maria Cecilia Fernández Montefiore , Gustavo González , F. Javier López-Martínez , Fernando Gregorio

Massive MIMO has been regarded as one of the key technologies for 5G wireless networks, as it can significantly improve both the spectral efficiency and energy efficiency. The availability of high-dimensional channel side information (CSI)…

Information Theory · Computer Science 2015-05-05 Juei-Chin Shen , Jun Zhang , Kwang-Cheng Chen , Khaled B. Letaief

To achieve the more promising passive beamforming gains in the double-intelligent reflecting surface (IRS) assisted system over the conventional single-IRS system, channel estimation is practically indispensable but also a more challenging…

Information Theory · Computer Science 2020-10-14 Beixiong Zheng , Changsheng You , Rui Zhang

Channel covariance is emerging as a critical ingredient of the acquisition of instantaneous channel state information (CSI) in multi-user Massive MIMO systems operating in frequency division duplex (FDD) mode. In this context, channel…

Information Theory · Computer Science 2016-02-19 Alexis Decurninge , Maxime Guillaud , Dirk Slock

We consider a multi-cell MIMO downlink (network MIMO) where $B$ base-stations (BS) with $M$ antennas connected to a central station (CS) serve $K$ single-antenna user terminals (UT). Although many works have shown the potential benefits of…

Information Theory · Computer Science 2016-11-17 Mari Kobayashi , Sheng Yang , Merouane Debbah , Jean-Claude Belfiore

In frequency division duplex mode, the downlink channel state information (CSI) should be sent to the base station through feedback links so that the potential gains of a massive multiple-input multiple-output can be exhibited. However,…

Information Theory · Computer Science 2018-04-24 Chao-Kai Wen , Wan-Ting Shih , Shi Jin

In massive multiple-input multiple-output (MIMO) systems, how to reliably acquire downlink channel state information (CSI) with low overhead is challenging. In this work, by integrating the generative pre-trained Transformer (GPT) with…

Information Theory · Computer Science 2024-11-11 Ye Zeng , Li Qiao , Zhen Gao , Tong Qin , Zhonghuai Wu , Emad Khalaf , Sheng Chen , Mohsen Guizani
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