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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

To fully exploit the advantages of massive multiple-input multiple-output (m-MIMO), accurate channel state information (CSI) is required at the transmitter. However, excessive CSI feedback for large antenna arrays is inefficient and thus…

Information Theory · Computer Science 2021-05-24 Yuyao Sun , Wei Xu , Le Liang , Ning Wang , Geoffery Ye Li , Xiaohu You

Massive multiple-input multiple-output (MIMO) system is promising in providing unprecedentedly high data rate. To achieve its full potential, the transceiver needs complete channel state information (CSI) to perform transmit/receive…

Information Theory · Computer Science 2022-02-08 Yu Zhang , Ahmed Alkhateeb , Pranav Madadi , Jeongho Jeon , Joonyoung Cho , Charlie Zhang

Acquiring and utilizing accurate channel state information (CSI) can significantly improve transmission performance, thereby holding a crucial role in realizing the potential advantages of massive multiple-input multiple-output (MIMO)…

Information Theory · Computer Science 2024-03-21 Haotian Wu , Maojun Zhang , Yulin Shao , Krystian Mikolajczyk , Deniz Gündüz

Massive multiple-input multiple-output (MIMO) systems are a main enabler of the excessive throughput requirements in 5G and future generation wireless networks as they can serve many users simultaneously with high spectral and energy…

Information Theory · Computer Science 2021-02-15 Mahdi Boloursaz Mashhadi , Deniz Gündüz

Massive multiple-input multiple-output (MIMO) is a promising approach for cellular communication due to its energy efficiency and high achievable data rate. These advantages, however, can be realized only when channel state information…

Information Theory · Computer Science 2015-04-01 Min Soo Sim , Jeonghun Park , Chan-Byoung Chae , Robert W. Heath

Multiple-input multiple-output (MIMO) is an enabling technology to meet the growing demand for faster and more reliable communications in wireless networks with a large number of terminals, but it can also be applied for position estimation…

Signal Processing · Electrical Eng. & Systems 2021-08-06 Gregor Cerar , Aleš Švigelj , Mihael Mohorčič , Carolina Fortuna , Tomaž Javornik

In multiple-input multiple-output (MIMO) systems, it is crucial of utilizing the available channel state information (CSI) at the transmitter for precoding to improve the performance of frequency division duplex (FDD) networks. One of the…

Signal Processing · Electrical Eng. & Systems 2022-04-28 Xiangyi Li , Huaming Wu

Massive multiple-input multiple-output (MIMO) systems require downlink channel state information (CSI) at the base station (BS) to better utilize the available spatial diversity and multiplexing gains. However, in a frequency division…

Information Theory · Computer Science 2021-02-15 Mahdi Boloursaz Mashhadi , Qianqian Yang , Deniz Gunduz

Deep learning-based channel state information (CSI) feedback has achieved empirical success in massive multiple-input multiple-output (MIMO) systems. However, existing approaches largely rely on dense artificial neural networks (ANNs),…

Signal Processing · Electrical Eng. & Systems 2026-05-13 Yanzhen Liu , Geoffrey Ye Li

Massive multiple-input multiple-output (MIMO) technology is a key enabler of modern wireless communication systems, which demand accurate downlink channel state information (CSI) for optimal performance. Although deep learning (DL) has…

Signal Processing · Electrical Eng. & Systems 2025-05-14 Ruonan Ren , Jianhua Mo , Meixia Tao

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

Massive multiple-input multiple-output can obtain more performance gain by exploiting the downlink channel state information (CSI) at the base station (BS). Therefore, studying CSI feedback with limited communication resources in…

Signal Processing · Electrical Eng. & Systems 2024-10-28 Muhan Chen , Jiajia Guo , Chao-Kai Wen , Shi Jin , Geoffrey Ye Li , Ang Yang

The efficacy of massive multiple-input multiple-output (MIMO) techniques heavily relies on the accuracy of channel state information (CSI) in frequency division duplexing (FDD) systems. Many works focus on CSI compression and quantization…

Signal Processing · Electrical Eng. & Systems 2024-05-31 Xinran Sun , Zhengming Zhang , Luxi Yang

Forward channel state information (CSI) often plays a vital role in scheduling and capacity-approaching transmission optimization for massive multiple-input multiple-output (MIMO) communication systems. In frequency division duplex (FDD)…

Signal Processing · Electrical Eng. & Systems 2020-09-22 Zhenyu Liu , Mason del Rosario , Zhi Ding

In massive multiple-input multiple-output (MIMO) system, user equipment (UE) needs to send downlink channel state information (CSI) back to base station (BS). However, the feedback becomes expensive with the growing complexity of CSI in…

Information Theory · Computer Science 2021-05-28 Zhilin Lu , Jintao Wang , Jian Song

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

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 duplex (FDD) massive multiple-input multiple-output (MIMO) systems, the growing number of base station antennas leads to prohibitive feedback overhead for downlink channel state information (CSI). To address this…

Signal Processing · Electrical Eng. & Systems 2024-06-25 Yifan Ma , Hengtao He , Shenghui Song , Jun Zhang , Khaled B. Letaief

Massive multiple-input multiple-output (MIMO) is a promising technology to increase link capacity and energy efficiency. However, these benefits are based on available channel state information (CSI) at the base station (BS). Therefore,…

Signal Processing · Electrical Eng. & Systems 2024-10-30 Jiajia Guo , Chao-Kai Wen , Shi Jin , Geoffrey Ye Li
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