All Outputs (44)

3D Mobility Models and Their Impact on the Outage Performance of UAV Communications (2024)
Journal Article
Khuwaja, A. A., & Chen, Y. (online). 3D Mobility Models and Their Impact on the Outage Performance of UAV Communications. IEEE Wireless Communications Letters,

This letter derives new three-dimensional (3D) mobility models and analyzes their impact on the outage performance of unmanned aerial vehicle (UAV) communications. Specifically, new hybrid mobility (HM) models for the UAV movement in 3D space are der... Read More about 3D Mobility Models and Their Impact on the Outage Performance of UAV Communications.

Multi-Component LFM Signal Parameter Estimation for Symbiotic Chirp-UWB Radio Systems (2024)
Journal Article
Wen, Z., Liu, M., Zhao, N., Nallanathan, A., Yang, X., & Chen, Y. (online). Multi-Component LFM Signal Parameter Estimation for Symbiotic Chirp-UWB Radio Systems. IEEE Transactions on Cognitive Communications and Networking, https://doi.org/10.1109/TCCN.2024.3429375

Symbiotic chirp-ultra wide bandwidth (UWB) radio system (SCURS) is a UWB radio system with the symbiosis of linear frequency modulation (LFM) and orthogonal frequency division multiplexing (OFDM) signals. It has a high data rate and can transmit data... Read More about Multi-Component LFM Signal Parameter Estimation for Symbiotic Chirp-UWB Radio Systems.

Effect of Source Signal Traffic on Signal Detection for Ambient Backscatter Communication (2024)
Journal Article
Chen, Y., Altaf Khuwaja, A., & Wang, C.-X. (2024). Effect of Source Signal Traffic on Signal Detection for Ambient Backscatter Communication. IEEE Transactions on Vehicular Technology, https://doi.org/10.1109/TVT.2024.3419423

Ambient backscatter communication (ABC) is a promising method of reducing energy consumption in wireless communications. Previous works on signal detection for ABC often assume that the ambient source signal is always present during backscattering. H... Read More about Effect of Source Signal Traffic on Signal Detection for Ambient Backscatter Communication.

Effect of Source Signal Traffic on Signal Detection for Ambient Backscatter Communication (2024)
Journal Article
Chen, Y., Khuwaja, A. A., & Wang, C.-X. (2024). Effect of Source Signal Traffic on Signal Detection for Ambient Backscatter Communication. IEEE Transactions on Vehicular Technology, https://doi.org/10.1109/TVT.2024.3419423

Ambient backscatter communication (ABC) is a promising method of reducing energy consumption in wireless communications. Previous works on signal detection for ABC often assume that the ambient source signal is always present during backscattering. H... Read More about Effect of Source Signal Traffic on Signal Detection for Ambient Backscatter Communication.

Spatial-Frequency Block Coding Automatic Recognition with Non-Gaussian Interference for Cognitive MIMO-OFDM Systems (2024)
Journal Article
Zhang, J., Liu, M., Zhao, N., & Chen, Y. (online). Spatial-Frequency Block Coding Automatic Recognition with Non-Gaussian Interference for Cognitive MIMO-OFDM Systems. IEEE Transactions on Cognitive Communications and Networking,

Space-time/frequency block coding (STBCs/SFBCs) scheme is a crucial technique for enhancing the effectiveness and reliability of multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems with cognitive radio (CR) c... Read More about Spatial-Frequency Block Coding Automatic Recognition with Non-Gaussian Interference for Cognitive MIMO-OFDM Systems.

Near-Field Positioning and Attitude Sensing Based on Electromagnetic Propagation Modeling (2024)
Journal Article
Chen, A., Zhao, N., You, C., Chen, L., & Chen, Y. (2024). Near-Field Positioning and Attitude Sensing Based on Electromagnetic Propagation Modeling. IEEE Journal on Selected Areas in Communications, 42(9), 2179-2195. https://doi.org/10.1109/JSAC.2024.3413981

Positioning and sensing over wireless networks are imperative for many emerging applications. However, since traditional wireless channel models oversimplify the user equipment (UE) as a point target, they cannot be used for sensing the attitude of t... Read More about Near-Field Positioning and Attitude Sensing Based on Electromagnetic Propagation Modeling.

Blind Equalization for QAM System in the Presence of Impulsive Noise (2024)
Journal Article
Li, J., Liu, M., Chen, Y., & Zhao, N. (2024). Blind Equalization for QAM System in the Presence of Impulsive Noise. IEEE Transactions on Vehicular Technology, https://doi.org/10.1109/TVT.2024.3407718

This paper investigates time domain-blind equalization of dispersive communication systems that employ high throughput quadrature amplitude modulation (QAM) signals under impulsive noise environments. A novel cost function that integrates negative mo... Read More about Blind Equalization for QAM System in the Presence of Impulsive Noise.

Access-Side DDoS Defense for Space-Air-Ground Integrated 6G V2X Networks (2024)
Journal Article
Chen, X., Feng, W., Chen, Y., Ge, N., He, Y., & Feng, W. (2024). Access-Side DDoS Defense for Space-Air-Ground Integrated 6G V2X Networks. IEEE Open Journal of the Communications Society, 5, https://doi.org/10.1109/OJCOMS.2024.1234567

Distributed Denial of Service (DDoS) attacks pose a significant threat to the Internet of Vehicles, causing delays in driving operations and risking personal safety. With the emerging of Space-Air-Ground Integrated Sixth-Generation (6G) networks, DDo... Read More about Access-Side DDoS Defense for Space-Air-Ground Integrated 6G V2X Networks.

Spatial Parameter Identification for MIMO Systems in the Presence of Non-Gaussian Interference (2024)
Journal Article
Zhang, J., Shi, Z., Chen, Y., & Liu, M. (2024). Spatial Parameter Identification for MIMO Systems in the Presence of Non-Gaussian Interference. Remote Sensing, 16(7), 1243. https://doi.org/10.3390/rs16071243

Reliable identification of spatial parameters for multiple-input multiple-output (MIMO) systems, such as the number of transmit antennas (NTA) and the direction of arrival (DOA), is a prerequisite for MIMO signal separation and detection. Most existi... Read More about Spatial Parameter Identification for MIMO Systems in the Presence of Non-Gaussian Interference.

Automatic Identification of Space-Time Block Coding for MIMO-OFDM Systems in the Presence of Impulsive Interference (2024)
Journal Article
Zhang, J., Liu, M., Chen, Y., Zhao, N., & Nallanathan, A. (2024). Automatic Identification of Space-Time Block Coding for MIMO-OFDM Systems in the Presence of Impulsive Interference. IEEE Transactions on Communications, 72(8), 4816-4828. https://doi.org/10.1109/TCOMM.2024.3382326

Signal identification, a vital task of intelligent communication radios, finds its applications in various military and civil communication systems. Previous works on identification for space-time block codes (STBC) of multiple-input multiple-output... Read More about Automatic Identification of Space-Time Block Coding for MIMO-OFDM Systems in the Presence of Impulsive Interference.

Robust Blind Equalization for NB-IoT Driven by QAM Signals (2024)
Journal Article
Li, J., Zheng, W. X., Liu, M., Chen, Y., & Zhao, N. (2024). Robust Blind Equalization for NB-IoT Driven by QAM Signals. IEEE Internet of Things Journal, 11(12), 21499-21512. https://doi.org/10.1109/jiot.2024.3374553

The expansion of data coverage and the accuracy of decoding of the narrowband-internet of things (NB-IOT) mainly depend on the quality of channel equalizers. Without using training sequences, blind equalization is an effective method to overcome adve... Read More about Robust Blind Equalization for NB-IoT Driven by QAM Signals.

A GAN-GRU Based Space-Time Predictive Channel Model for 6G Wireless Communications (2024)
Journal Article
Li, Z., Wang, C.-X., Huang, C., Huang, J., Li, J., Zhou, W., & Chen, Y. (2024). A GAN-GRU Based Space-Time Predictive Channel Model for 6G Wireless Communications. IEEE Transactions on Vehicular Technology, 73(7), 9370-9386. https://doi.org/10.1109/TVT.2024.3367386

The advent of sixth-generation (6 G) wireless communications has posed significant challenges to channel modeling. Channel measurements cannot cover all scenarios and frequency bands for 6 G, and conventional models lack accurate predictive capabilit... Read More about A GAN-GRU Based Space-Time Predictive Channel Model for 6G Wireless Communications.

Multi-Antenna Spectrum Sensing With Alpha-Stable Noise for Cognitive Radio-Enabled IoT (2024)
Journal Article
Zhang, J., Liu, M., Chen, Y., Zhao, N., Han, Y., & Zhang, N. (2024). Multi-Antenna Spectrum Sensing With Alpha-Stable Noise for Cognitive Radio-Enabled IoT. IEEE Internet of Things Journal, 11(12), 21546-21558. https://doi.org/10.1109/jiot.2024.3374574

Cognitive radio-enabled Internet of Things (CR-IoT) is considered as a promising technology to handle spectrum scarcity for IoT applications. Spectrum sensing enables unlicensed secondary users to exploit spectrum holes under the condition of avoidin... Read More about Multi-Antenna Spectrum Sensing With Alpha-Stable Noise for Cognitive Radio-Enabled IoT.

Passive Sensing Using Multiple Types of Communication Signal Waveforms for Internet-of-Everything (2024)
Journal Article
Zhang, J., Li, Z., Chen, Y., Lu, W., Yi, F., & Liu, M. (2024). Passive Sensing Using Multiple Types of Communication Signal Waveforms for Internet-of-Everything. IEEE Internet of Things Journal, https://doi.org/10.1109/JIOT.2024.3364163

Communication-Efficient Design for Quantized Decentralized Federated Learning (2024)
Journal Article
Chen, L., Liu, W., Chen, Y., & Wang, W. (2024). Communication-Efficient Design for Quantized Decentralized Federated Learning. IEEE Transactions on Signal Processing, 72, 1175-1188. https://doi.org/10.1109/TSP.2024.3363887

Decentralized federated learning (DFL) is a variant of federated learning, where edge nodes only communicate with their one-hop neighbors to learn the optimal model. However, as information exchange is restricted in a range of one-hop in DFL, ineffic... Read More about Communication-Efficient Design for Quantized Decentralized Federated Learning.

Radio Map-Based Cognitive Satellite-UAV Networks Towards 6G On-Demand Coverage (2023)
Journal Article
Feng, W., Lin, Y., Wang, Y., Wang, J., Chen, Y., Ge, N., Jin, S., & Zhu, H. (2024). Radio Map-Based Cognitive Satellite-UAV Networks Towards 6G On-Demand Coverage. IEEE Transactions on Cognitive Communications and Networking, 10(3), 1075-1089. https://doi.org/10.1109/TCCN.2023.3345857

The sixth generation (6G) network is envisioned to cover remote areas, with the help of satellites and unmanned aerial vehicles (UAVs). Considering the vastness of remote areas and the sparsity of users therein, we investigate a cognitive satellite-U... Read More about Radio Map-Based Cognitive Satellite-UAV Networks Towards 6G On-Demand Coverage.

Adversarial attacking and defensing modulation recognition with deep learning in cognitive radio-enabled IoT (2023)
Journal Article
Zhang, Z., Ma, L., Liu, M., Chen, Y., & Zhao, N. (2024). Adversarial attacking and defensing modulation recognition with deep learning in cognitive radio-enabled IoT. IEEE Internet of Things Journal, 11(8), 14949-14962. https://doi.org/10.1109/JIOT.2023.3345937

Modulation recognition using deep learning (DL) can efficiently recognize modulated signals in cognitive radio-enabled Internet of Things (IoT). However, it is vulnerable to the attack of adversarial examples designed by attackers, leading to a decre... Read More about Adversarial attacking and defensing modulation recognition with deep learning in cognitive radio-enabled IoT.

Low-complexity Tomlinson-Harashima precoding update algorithm for massive MIMO system (2023)
Journal Article
Fang, Y., Chen, L., Chen, Y., Yin, H., & Wei, G. (2024). Low-complexity Tomlinson-Harashima precoding update algorithm for massive MIMO system. IEEE Transactions on Communications, 72(4), 2063-2078. https://doi.org/10.1109/TCOMM.2023.3345419

Efficient implementation of Tomlinson-Harashima precoding (THP) is crucial in massive multiple-input-multiple-output (MIMO) systems with a large number of antennas at the base station (BS) serving many user equipments (UEs). To address the high compu... Read More about Low-complexity Tomlinson-Harashima precoding update algorithm for massive MIMO system.

Self-supervised adaptive weighting for cooperative perception in V2V communications (2023)
Journal Article
Liu, C., Chen, J., Chen, Y., Payton, R., Riley, M., & Yang, S.-H. (2024). Self-supervised adaptive weighting for cooperative perception in V2V communications. IEEE Transactions on Intelligent Vehicles, 9(2), 3569-3580. https://doi.org/10.1109/TIV.2023.3345035

Perception of the driving environment is critical for collision avoidance and route planning to ensure driving safety. Cooperative perception has been widely studied as an effective approach to addressing the shortcomings of single-vehicle perception... Read More about Self-supervised adaptive weighting for cooperative perception in V2V communications.

Task-Oriented Satellite-UAV Networks With Mobile-Edge Computing (2023)
Journal Article
Wei, P., Feng, W., Chen, Y., Ge, N., Xiang, W., & Mao, S. (2024). Task-Oriented Satellite-UAV Networks With Mobile-Edge Computing. IEEE Open Journal of the Communications Society, 5, 202-220. https://doi.org/10.1109/ojcoms.2023.3341251

Networked robots have become crucial for unmanned applications since they can collaborate to complete complex tasks in remote/hazardous/depopulated areas. Due to the cost inefficiency of deploying cellular network infrastructure in these areas, hybri... Read More about Task-Oriented Satellite-UAV Networks With Mobile-Edge Computing.