Results 1 to 10 of about 45,671 (180)

Deep learning for 1-bit compressed sensing-based superimposed CSI feedback [PDF]

PLoS ONE, 2022
In frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems, 1-bit compressed sensing (CS)-based superimposed channel state information (CSI) feedback has shown many advantages, while still faces many challenges, such as ...
Chaojin Qing, Qing Ye, Bin Cai, Wenhui Liu, Jiafan Wang   +4 more
doaj   +3 more sources

Deep Learning-Based Joint CSI Feedback and Hybrid Precoding in FDD mmWave Massive MIMO Systems [PDF]

Entropy, 2022
In this paper, we propose an end-to-end deep learning approach to realize channel state information (CSI) feedback and hybrid precoding for millimeter wave massive multiple-input multiple-output systems in the frequency division duplexing mode. Different
Qiang Sun, Huan Zhao, Jue Wang, Wei Chen
doaj   +2 more sources

CSI Feedback Model Based on Multi-Source Characterization in FDD Systems [PDF]

Sensors, 2023
In wireless communication, to fully utilize the spectrum and energy efficiency of the system, it is necessary to obtain the channel state information (CSI) of the link.
Fei Pan, Xiaoyu Zhao, Boda Zhang, Pengjun Xiang, Mengdie Hu, Xuesong Gao   +5 more
doaj   +2 more sources

LLM4FB: A One-Sided CSI Feedback and Prediction Framework for Lightweight UEs via Large Language Models [PDF]

Sensors
Massive MIMO systems can substantially enhance spectral efficiency, but such gains rely on the availability of accurate channel state information (CSI).
Xinxin Xie, Xinyu Ning, Yitong Liu, Hanning Wang, Jing Jin, Hongwen Yang   +5 more
doaj   +2 more sources

Machine learning-based adaptive CSI feedback interval

ICT Express, 2022
The channel state information (CSI) is essential for the base station (BS) to schedule user equipments (UEs) and efficiently manage the radio resources. Hence, the BS requests UEs to regularly feed back the CSI.
Seunghui Hong, Sanguk Jo, Jaewoo So
doaj   +2 more sources

Superimposed CSI Feedback Assisted by Inactive Sensing Information [PDF]

Sensors
In massive multiple-input and multiple-output (mMIMO) systems, superimposed channel state information (CSI) feedback is developed to improve the occupation of uplink bandwidth resources. Nevertheless, the interference from this superimposed mode degrades
Mintao Zhang, Haowen Jiang, Zilong Wang, Linsi He, Yuqiao Yang, Mian Ye, Chaojin Qing   +6 more
doaj   +2 more sources

Multi-User MIMO Downlink Precoding with Dynamic User Selection for Limited Feedback [PDF]

Sensors
In modern (5G) and future Multi-User (MU) wireless communication systems Beyond 5G (B5G) using Multiple-Input Multiple-Output (MIMO) technology, base stations with a large number of antennas communicate with many mobile stations.
Mikhail Bakulin, Taoufik Ben Rejeb, Vitaly Kreyndelin, Denis Pankratov, Aleksei Smirnov   +4 more
doaj   +2 more sources

CSI Feedback Based on Complex Neural Network for Massive MIMO Systems

IEEE Access, 2022
In order to solve the problem of large channel state information (CSI) feedback overhead and low feedback accuracy in massive multiple-input multiple-output (MIMO) systems.
Qingli Liu, Zhenya Zhang, Guoqiang Yang, Na Cao, Mengqian Li   +4 more
doaj   +1 more source

Universal Auto-Encoder Framework for MIMO CSI Feedback

GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 2023
Existing auto-encoder (AE)-based channel state information (CSI) frameworks have focused on a specific configuration of user equipment (UE) and base station (BS), and thus the input and output sizes of the AE are fixed. However, in the real-world scenario, the input and output sizes may vary depending on the number of antennas of the BS and UE and the ...
So, Jinhyun, Kwon, Hyukjoon
openaire   +2 more sources

Deep learning‐based massive multiple‐input multiple‐output channel state information feedback with data normalisation using clipping

Electronics Letters, 2021
Massive multiple‐input multiple‐output (MIMO) can provide real‐time high‐capacity data transmission service to the user equipment (UE). However, the use of massive MIMO exponentially increases the channel state information (CSI) feedback overhead.
Sanguk Jo, Jaehee Lee, Jaewoo So
doaj   +1 more source