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In frequency division duplex mode of massive multiple-input multiple-output systems, the downlink channel state information (CSI) must be sent to the base station (BS) through a feedback link. However, transmitting CSI to the BS is costly…

Information Theory · Computer Science 2020-05-04 Zheng Cao , Wan-Ting Shih , Jiajia Guo , Chao-Kai Wen , Shi Jin

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

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

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 frequency division duplex (FDD) massive MIMO systems, reliable downlink channel estimation is essential for the subsequent data transmission but is realized at the cost of massive pilot overhead due to hundreds of antennas at base…

Signal Processing · Electrical Eng. & Systems 2022-11-01 An Chen , Wenbo Xu , Liyang Lu , Yue Wang

Massive multiple-input multiple-output (MIMO) is one of the key technologies in future generation networks. Owing to their considerable spectral and energy efficiency gains, massive MIMO systems provide the needed performance to cope with…

Information Theory · Computer Science 2017-10-09 Salah Eddine Hajri , Mohamad Assaad , Maialen Larrañaga

This paper proposes a model-driven deep learning (MDDL)-based channel estimation and feedback scheme for wideband millimeter-wave (mmWave) massive hybrid multiple-input multiple-output (MIMO) systems, where the angle-delay domain channels'…

Information Theory · Computer Science 2022-01-20 Xisuo Ma , Zhen Gao , Feifei Gao , Marco Di Renzo

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

Application of massive multiple-input multiple-output (MIMO) systems to frequency division duplex (FDD) is challenging mainly due to the considerable overhead required for downlink training and feedback. Channel extrapolation, i.e.,…

Signal Processing · Electrical Eng. & Systems 2020-10-01 Thomas Choi , François Rottenberg , Jorge Gomez-Ponce , Akshay Ramesh , Peng Luo , Jianzhong Zhang , Andreas F. Molisch

Channel state information (CSI) reporting is important for multiple-input multiple-output (MIMO) transmitters to achieve high capacity and energy efficiency in frequency division duplex (FDD) mode. CSI reporting for massive MIMO systems…

Information Theory · Computer Science 2019-12-24 Zhenyu Liu , Lin Zhang , Zhi Ding

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

Deep learning (DL)-based channel state information (CSI) feedback has shown promising potential to improve spectrum efficiency in massive MIMO systems. However, practical DL approaches require a sizeable CSI dataset for each scenario, and…

Information Theory · Computer Science 2023-11-07 Zhenyu Liu , Li Wang , Lianming Xu , Zhi Ding

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

In conventional multi-user multiple-input multiple-output (MU-MIMO) systems with frequency division duplexing (FDD), channel acquisition and precoder optimization processes have been designed separately although they are highly coupled.…

Information Theory · Computer Science 2022-09-22 Jeonghyeon Jang , Hoon Lee , Il-Min Kim , Inkyu Lee

In this paper, the feasibility of a new downlink transmission mode in massive multi-input multi-output (MIMO) systems is investigated with two types of users, i.e., the users with only statistical channel state information (CSI) and the…

Information Theory · Computer Science 2017-12-01 Shuang Qiu , Da Chen , Daiming Qu , Kai Luo , Tao Jiang

In the fifth-generation new radio (5G NR) frequency division duplex (FDD) massive multiple-input and multiple-output (MIMO) systems, downlink beamforming relies on the acquisition of downlink channel state information (CSI). Codebook based…

Signal Processing · Electrical Eng. & Systems 2024-09-04 Kai Li , Ying Li , Lei Cheng , Zhi-Quan Luo

Many performance gains achieved by massive multiple-input and multiple-output depend on the accuracy of the downlink channel state information (CSI) at the transmitter (base station), which is usually obtained by estimating at the receiver…

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

For massive multiple-input multiple-output systems in the frequency division duplex (FDD) mode, accurate downlink channel state information (CSI) is required at the base station (BS). However, the increasing number of transmit antennas…

Information Theory · Computer Science 2024-01-15 Jiaming Cheng , Wei Chen , Jialong Xu , Yiran Guo , Lun Li , Bo Ai

Intelligent terminals often produce a large number of data packets of small lengths. For these packets, it is inefficient to follow the conventional medium access control (MAC) protocols because they lead to poor utilization of service…

Information Theory · Computer Science 2016-11-18 Ronggui Xie , Huarui Yin , Zhengdao Wang , Xiaohui Chen

In massive multiple-input multiple-output (MIMO) systems, the downlink transmission performance heavily relies on accurate channel state information (CSI). Constrained by the transmitted power, user equipment always transmits sounding…

Signal Processing · Electrical Eng. & Systems 2024-10-23 Yiming Zhu , Jiawei Zhuang , Gangle Sun , Hongwei Hou , Li You , Wenjin Wang
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