NSTL国家科技图书文献中心

1. Channel Estimation via Thermal Noises NSTL国家科技图书文献中心

Hong Shen | Zhou Yang ... - 《IEEE wireless communications letters》 - 2025,14(1) - 178～182 - 共5页

摘要： pilot-assisted channel* estimation tailored for* | the channel* estimation is first derived to reveal* | the relationship between the estimation* accuracy and* | a modified maximum likelihood (ML) channel | ) of the proposed channel* estimator is very close to*

关键词： Channel estimation | Noise | Thermal noise | Modulation | Maximum likelihood estimation | Signal to noise ratio | Wireless communication | Vectors | Fading channels | Bit error rate

2. Channel Estimation for Reconfigurable Intelligent Surface-Assisted Cell-Free Communications NSTL国家科技图书文献中心

Chenfei Xie | Songjie Yang ... - 《Transactions on Emerging Telecommunications Technologies》 - 2025,36(3) - e70096～ - 共12页

摘要： channel estimation problem in RIS-assisted cell-free | challenges of cascaded and two-timescale channel estimation | cascaded channel* estimation, and (2) a pilot reduction* | channel estimation performance. These methods aim to | assumes perfect knowledge of channel* state information*

关键词： Cell-free | Channel estimation | Compressive sensing | Reconfigurable intelligent surface

3. Channel estimation enhancement in vehicular communication using deep neural network NSTL国家科技图书文献中心

DEVESH SHUKLA | ARUN PRAKASH ... - 《Sadhana》 - 2025,50(1) - 11～ - 共13页

摘要： channel modelling is difficult. The channel estimation | is more superior to the earlier channel estimation | challenge is to address the channel* distortions and* | is realized employing DNN which tracks the channel | channel conditions and finally trained network

关键词： Channel estimation | Deep learning | DNN | Hyperparameters | IEEE 802.11p

4. Knowledge-Driven Channel Estimation for Asymmetrical Massive MIMO Systems NSTL国家科技图书文献中心

Ruming Yang | Shu Xu ... - 《IEEE Transactions on Vehicular Technology》 - 2025,74(1) - 911～924 - 共14页

摘要： channel estimation methods, inevitably leading to | achieving improved channel* estimation performance by* | learning-based channel* estimation framework for* | asymmetrical transceivers. The channel* estimation problem is* | channel estimation framework can significantly eliminate

关键词： Channel estimation | Massive MIMO | Receiving antennas | Radio frequency | Transmitting antennas | Inference algorithms | Noise reduction

5. Intelligent Reflector Channel Estimation Scheme Based on Antenna Selection NSTL国家科技图书文献中心

Youbao CHANG | Song QIAN ... - 《IEICE Transactions on communications》 - 2025,E108/B(4) - 477～492 - 共16页

摘要： channel estimation in large-scale MIMO systems, the | proposed channel* estimation framework based on antenna* | channel estimation methods based on antenna selection | with non-antenna selection channel* estimation methods* | development of intelligent reflector theory, channel

关键词： intelligent reflective surface (IRS) | massive MIMO | antenna selection | uplink spectral efficiency | channel estimation

6. Pilot-Aided Joint Time Synchronization and Channel Estimation for OTFS NSTL国家科技图书文献中心

Jiazheng Sun | Peng Yang ... - 《IEEE wireless communications letters》 - 2025,14(1) - 143～147 - 共5页 - 被引量：1

摘要： synchronization and channel* estimation (JTSCE) algorithm for* | autocorrelation properties to estimate timing offset and channel | expressions of Doppler and channel* gain for each propagation* | time synchronization and channel* state information.* | This letter proposes a pilot-aided joint time

关键词： Channel estimation | Estimation | Delays | Synchronization | Symbols | Accuracy | Maximum likelihood estimation | Discrete Fourier transforms | Autocorrelation | Time-frequency analysis

7. Massive MIMO Channel Estimation With Convolutional Neural Network Structures NSTL国家科技图书文献中心

Leopoldo Carro-Calvo | Alejandro de la Fuen...... - 《IEEE transactions on cognitive communications and networking》 - 2025,11(1) - 202～217 - 共16页

摘要： mMIMO channel* estimation that differ in complexity and* | knowledge of the channel* and noise estimation. Furthermore* | accurate channel* estimates. We present two models based* | , the proposed CNN models outperform estimation | enabling them to a wide range of channel* conditions, i.e*

关键词： Channel estimation | OFDM | Convolutional neural networks | 5G mobile communication | Estimation | Symbols | Signal to noise ratio

8. A beamspace channel estimation based on deep convolutional reconstruction networks NSTL国家科技图书文献中心

Fei, Teng | Zhu, Zhengyu ... - 《International Journal of Sensor Networks》 - 2025,47(2) - 88～97 - 共10页

摘要： achieving precise channel* estimation, which still faces* | low accuracy and reliance on prior channel | information. This paper proposes a novel beamspace channel | estimation algorithm using a deep convolutional | prior channel* information. The multi-scale fusion*

关键词： deep convolutional reconfiguration networks | millimetre wave | massive MIMO | channel estimation | multi-scale fusion module | MSFM

9. Sparse Channel Estimation in IRS-Assisted Massive MIMO Cognitive Radio Systems NSTL国家科技图书文献中心

Agrim Agarwal | Amrita Mishra ... - 《IEEE Transactions on Communications》 - 2025,73(1) - 200～215 - 共16页 - 被引量：1

摘要： approaches for sparse channel* estimation in a multi-user* | cascaded channel* estimation with respect to the secondary* | pursuit and subspace multi-user joint channel* estimation.* | and estimation* phases. During the silent phase, the* | transmissions to estimate the cascaded channel* between primary*

关键词： Channel estimation | Estimation | Massive MIMO | Vectors | Uplink | Interference | Accuracy

10. Self-attention based multi-dimensional feature aggregation neural network for OFDM channel estimation NSTL国家科技图书文献中心

Yan Sun | Yihang Luo - 《Fifth International Conference on Signal Processing and Computer Science (SPCS 2024)》 - International Conference on Signal Processing and Computer Science - 2025, - 134421A.1～134421A.12 - 共12页

摘要： feature aggregation channel* estimation network (FACENet* | ) based on self-attention to improve pilot-based channel | estimation in orthogonal frequency division multiplexing | channel features of the input data by alternately | employing spatial self-attention and channel* self*

摘要： pilot-assisted channel* estimation tailored for* | the channel* estimation is first derived to reveal* | the relationship between the estimation* accuracy and* | a modified maximum likelihood (ML) channel | ) of the proposed channel* estimator is very close to*

关键词： Channel estimation | Noise | Thermal noise | Modulation | Maximum likelihood estimation | Signal to noise ratio | Wireless communication | Vectors | Fading channels | Bit error rate

摘要： channel estimation problem in RIS-assisted cell-free | challenges of cascaded and two-timescale channel estimation | cascaded channel* estimation, and (2) a pilot reduction* | channel estimation performance. These methods aim to | assumes perfect knowledge of channel* state information*

关键词： Cell-free | Channel estimation | Compressive sensing | Reconfigurable intelligent surface

摘要： channel modelling is difficult. The channel estimation | is more superior to the earlier channel estimation | challenge is to address the channel* distortions and* | is realized employing DNN which tracks the channel | channel conditions and finally trained network

关键词： Channel estimation | Deep learning | DNN | Hyperparameters | IEEE 802.11p

摘要： channel estimation methods, inevitably leading to | achieving improved channel* estimation performance by* | learning-based channel* estimation framework for* | asymmetrical transceivers. The channel* estimation problem is* | channel estimation framework can significantly eliminate

关键词： Channel estimation | Massive MIMO | Receiving antennas | Radio frequency | Transmitting antennas | Inference algorithms | Noise reduction

摘要： channel estimation in large-scale MIMO systems, the | proposed channel* estimation framework based on antenna* | channel estimation methods based on antenna selection | with non-antenna selection channel* estimation methods* | development of intelligent reflector theory, channel

关键词： intelligent reflective surface (IRS) | massive MIMO | antenna selection | uplink spectral efficiency | channel estimation

关键词： Channel estimation | Estimation | Delays | Synchronization | Symbols | Accuracy | Maximum likelihood estimation | Discrete Fourier transforms | Autocorrelation | Time-frequency analysis

摘要： mMIMO channel* estimation that differ in complexity and* | knowledge of the channel* and noise estimation. Furthermore* | accurate channel* estimates. We present two models based* | , the proposed CNN models outperform estimation | enabling them to a wide range of channel* conditions, i.e*

关键词： Channel estimation | OFDM | Convolutional neural networks | 5G mobile communication | Estimation | Symbols | Signal to noise ratio

摘要： achieving precise channel* estimation, which still faces* | low accuracy and reliance on prior channel | information. This paper proposes a novel beamspace channel | estimation algorithm using a deep convolutional | prior channel* information. The multi-scale fusion*

关键词： deep convolutional reconfiguration networks | millimetre wave | massive MIMO | channel estimation | multi-scale fusion module | MSFM

关键词： Channel estimation | Estimation | Massive MIMO | Vectors | Uplink | Interference | Accuracy

摘要： feature aggregation channel* estimation network (FACENet* | ) based on self-attention to improve pilot-based channel | estimation in orthogonal frequency division multiplexing | channel features of the input data by alternately | employing spatial self-attention and channel* self*

关键词： Channel estimation | OFDM | Self-attention | Deep learning

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： pilot-assisted channel estimation tailored for | the channel estimation is first derived to reveal | the relationship between the estimation accuracy and | a modified maximum likelihood (ML) channel | ) of the proposed channel estimator is very close to

关键词： Channel estimation | Noise | Thermal noise | Modulation | Maximum likelihood estimation | Signal to noise ratio | Wireless communication | Vectors | Fading channels | Bit error rate

摘要： channel estimation problem in RIS-assisted cell-free | challenges of cascaded and two-timescale channel estimation | cascaded channel estimation, and (2) a pilot reduction | channel estimation performance. These methods aim to | assumes perfect knowledge of channel state information

关键词： Cell-free | Channel estimation | Compressive sensing | Reconfigurable intelligent surface

摘要： channel modelling is difficult. The channel estimation | is more superior to the earlier channel estimation | challenge is to address the channel distortions and | is realized employing DNN which tracks the channel | channel conditions and finally trained network

关键词： Channel estimation | Deep learning | DNN | Hyperparameters | IEEE 802.11p

摘要： channel estimation methods, inevitably leading to | achieving improved channel estimation performance by | learning-based channel estimation framework for | asymmetrical transceivers. The channel estimation problem is | channel estimation framework can significantly eliminate

关键词： Channel estimation | Massive MIMO | Receiving antennas | Radio frequency | Transmitting antennas | Inference algorithms | Noise reduction

摘要： channel estimation in large-scale MIMO systems, the | proposed channel estimation framework based on antenna | channel estimation methods based on antenna selection | with non-antenna selection channel estimation methods | development of intelligent reflector theory, channel

关键词： intelligent reflective surface (IRS) | massive MIMO | antenna selection | uplink spectral efficiency | channel estimation

关键词： Channel estimation | Estimation | Delays | Synchronization | Symbols | Accuracy | Maximum likelihood estimation | Discrete Fourier transforms | Autocorrelation | Time-frequency analysis

摘要： mMIMO channel estimation that differ in complexity and | knowledge of the channel and noise estimation. Furthermore | accurate channel estimates. We present two models based | , the proposed CNN models outperform estimation | enabling them to a wide range of channel conditions, i.e

关键词： Channel estimation | OFDM | Convolutional neural networks | 5G mobile communication | Estimation | Symbols | Signal to noise ratio

摘要： achieving precise channel estimation, which still faces | low accuracy and reliance on prior channel | information. This paper proposes a novel beamspace channel | estimation algorithm using a deep convolutional | prior channel information. The multi-scale fusion

关键词： deep convolutional reconfiguration networks | millimetre wave | massive MIMO | channel estimation | multi-scale fusion module | MSFM

关键词： Channel estimation | Estimation | Massive MIMO | Vectors | Uplink | Interference | Accuracy

摘要： feature aggregation channel estimation network (FACENet | ) based on self-attention to improve pilot-based channel | estimation in orthogonal frequency division multiplexing | channel features of the input data by alternately | employing spatial self-attention and channel self

关键词： Channel estimation | OFDM | Self-attention | Deep learning

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： pilot-assisted channel* estimation tailored for* | the channel* estimation is first derived to reveal* | the relationship between the estimation* accuracy and* | a modified maximum likelihood (ML) channel | ) of the proposed channel* estimator is very close to*

摘要： channel estimation problem in RIS-assisted cell-free | challenges of cascaded and two-timescale channel estimation | cascaded channel* estimation, and (2) a pilot reduction* | channel estimation performance. These methods aim to | assumes perfect knowledge of channel* state information*

摘要： channel modelling is difficult. The channel estimation | is more superior to the earlier channel estimation | challenge is to address the channel* distortions and* | is realized employing DNN which tracks the channel | channel conditions and finally trained network

摘要： channel estimation methods, inevitably leading to | achieving improved channel* estimation performance by* | learning-based channel* estimation framework for* | asymmetrical transceivers. The channel* estimation problem is* | channel estimation framework can significantly eliminate

摘要： channel estimation in large-scale MIMO systems, the | proposed channel* estimation framework based on antenna* | channel estimation methods based on antenna selection | with non-antenna selection channel* estimation methods* | development of intelligent reflector theory, channel

摘要： achieving precise channel* estimation, which still faces* | low accuracy and reliance on prior channel | information. This paper proposes a novel beamspace channel | estimation algorithm using a deep convolutional | prior channel* information. The multi-scale fusion*

摘要： feature aggregation channel* estimation network (FACENet* | ) based on self-attention to improve pilot-based channel | estimation in orthogonal frequency division multiplexing | channel features of the input data by alternately | employing spatial self-attention and channel* self*