何东轩

何东轩

北京理工大学

Publication

You can also find my articles on my Google Scholar profile.

【最新论文】

  1. Q. Yu, D. He, H. Hou, and H. Wang, "Towards Future LoRa-Based LEO Satellite IoT: Opportunities, Framework, and Research Directions," IEEE Communications Standards Magazine,2026.
  2. Q. Yu, D. Mishra, H. Wang, D. He, J. Yuan, and M. Matthaiou, "Error Performance Characterization of LoRa-Based Direct-to-Satellite IoT," IEEE Transactions on Green Communications and Networking,2026.
  3. T. Yang, D. He, W. Yuan, H. Liu, and H. Wang, "ISAC-Enabled Low-Altitude Economy: Game-Theoretic Learning Empowered Techniques and Future Directions," IEEE Internet of Things Magazine,2026.
  4. J. Sun, D. He, H. Hou, P. Du, C. Fang, C,.Zhang, W.Xu, D.Wang, and Y. Huang, "Cloud-Edge-End CF-MMIMO for UAV Swarms: Integrated Sensing and Robust Interference Detection in Perception Networks," IEEE Transactions on Network Science and Engineering,2025.
  5. Z. Kang, D. He, H. Wang, W. Yuan, and T. Q.S. Quek, "Tensor-Based Unsourced Random Access for LEO Satellite Internet of Things," IEEE Transactions on Wireless Communications,2025.
  6. M. Yuan, D. He, W. Yuan, H. Yin, and H. Wang, "Near-Field Integrated Sensing and Communication: SPEB Analysis and Hybrid Beamforming Design," IEEE Transactions on Cognitive Communications and Networking,2025.
  7. Y. Huang, T. Mao, D. He, Q. Wang, C. Han, and Z. Wang, "Channel-Adaptive Autoencoder Architecture for Terahertz Aerospace Communications," IEEE Transactions on Vehicular Technology,2025.
  8. Q. Yu, D. Mishra, H. Wang, D. He, J. Yuan, and M. Matthaiou, "System-Level Performance Analysis of LoRa-Based LEO Satellite Constellations for IoT Communications," IEEE Wireless Communications Letters,2025.
  9. Z. Liu, N. Wu, D. He, W. Yuan, and C. Yuen, "Meta-Learning Empowered Receiver Design for MIMO-OFDM System under HPA Nonlinearity," IEEE Transactions on Vehicular Technology,2025.
  10. M. Yuan, D. He, H. Yin, H. Wang, F. Liu, Z. Wang, and T. Q.S. Quek, "Hybrid Beamforming for mmWave Integrated Sensing and Communication with Multi-static Cooperative Localization," IEEE Transactions on Wireless Communications,2025.
  11. Y. Chen, D. He, H. Wang, W. Yuan, and T. Q.S. Quek, "Joint Channel and Clipping Amplitude Estimation and Signal Detection for Clipped OTFS," IEEE Transactions on Wireless Communications,2025.

Journal Articles

[J41] Towards Future LoRa-Based LEO Satellite IoT Opportunities, Framework, and Research Directions

Published in IEEE Communications Standards Magazine, 2026

This paper investigates LoRa-based LEO satellite IoT, focusing on its development opportunities, network framework and future research directions..

Recommended citation: Q. Yu, D. He, H. Hou, and H. Wang, "Towards Future LoRa-Based LEO Satellite IoT Opportunities, Framework, and Research Directions," IEEE Commun. Stand. Mag., Early Access, 2026.
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[J40] Guest Editorial Special Issue on Emerging Technologies Enhanced Cooperative Integrated Sensing and Communication in 6G Era

Published in IEEE Open Journal of the Communications Society, 2026

This paper provides a guest editorial for emerging technologies enhanced cooperative integrated sensing and communication in 6G Era.

Recommended citation: Y. Huang, H. Hou, D. He, G. K. Kurt and T. Q. S. Quek, "Guest Editorial Special Issue on Emerging Technologies Enhanced Cooperative Integrated Sensing and Communication in 6G Era," IEEE Open J. Commun. Soc., vol. 6, pp. xiv-xvii, 2025.
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[J39] Error Performance Characterization of LoRa-Based Direct-to-Satellite IoT

Published in IEEE Transactions on Green Communications and Networking, 2026

This paper provides a novel analytical framework to characterize the error performance of LoRa-based DtS-IoT systems by leveraging an empirically-verified satellite-to-ground channel model.

Recommended citation: Q. Yu, D. Mishra, H. Wang, D. He, J. Yuan, and M. Matthaiou, "Error Performance Characterization of LoRa-Based Direct-to-Satellite IoT," IEEE Trans. Green Commn. Netw., vol. 26, pp. 1879 - 1893, 2026.
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[J38] ISAC-Enabled Low-Altitude Economy: Game-Theoretic Learning Empowered Techniques and Future Directions

Published in IEEE Internet of Things Magazine, 2025

This paper analyzes the applications and challenges of ISAC-enabled LAE, and provides a game-theoretic deep reinforcement learning (DRL) approach, which focuses on integrating game theory’s decision mechanism with DRL’s adaptive capabilities to enable the joint optimization of resource allocation and trajectory planning for UAV swarms.

Recommended citation: T. Yang, D. He, W. Yuan, H. Liu, and H. Wang, "ISAC-Enabled Low-Altitude Economy: Game-Theoretic Learning Empowered Techniques and Future Directions," IEEE Internet Things Mag., Early Access, 2025.
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[J36] Cloud–Edge–End CF–MMIMO for UAV Swarms: Integrated Sensing and Robust Interference Detection in Perception Networks

Published in IEEE Transactions on Network Science and Engineering, 2025

This paper proposes a novel cloud-edge-end architecture-based CF-mMIMO communication system to support robust communication in UAV swarm perception networks.

Recommended citation: J. Sun, D. He, H. Hou, P. Du, C. Fang, C,.Zhang, W.Xu, D.Wang, and Y. Huang, "Cloud–Edge–End CF–MMIMO for UAV Swarms: Integrated Sensing and Robust Interference Detection in Perception Networks," IEEE Trans. Netw. Sci. Eng., vol. 13, pp. 3879–3893, 2026.
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[J35] Tensor-Based Unsourced Random Access for LEO Satellite Internet of Things

Published in IEEE Transactions on Wireless Communications, 2025

This paper investigates massive unsourced random access (URA) paradigm for low earth orbit (LEO) satellite IoT applications, focusing on device separation and signal detection.

Recommended citation: Z. Kang, D. He, H. Wang, W. Yuan, and T. Q.S. Quek, "Tensor-Based Unsourced Random Access for LEO Satellite Internet of Things," IEEE Trans. Wireles. Commun., vol. 25, pp.4631-4625, 2026.
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[J34] Near-Field Integrated Sensing and Communication: SPEB Analysis and Hybrid Beamforming Design

Published in IEEE Transactions on Cognitive Communications and Networking, 2025

This paper investigates hybrid beamforming (HBF) design for near-field millimeter wave (mmWave) integrated sensing and communication (ISAC) systems, where one base station (BS) equipped with large-scale antenna array simultaneously serves multiple communication users and performs target localization by exploiting the degrees of freedom in both angle and distance domains.

Recommended citation: M. Yuan, D. He, W. Yuan, H. Yin, and H. Wang, "Near-Field Integrated Sensing and Communication: SPEB Analysis and Hybrid Beamforming Design," IEEE Trans. Cogn. Commun. Netw., vol. 12, 2026.
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[J33] Channel-Adaptive Autoencoder Architecture for Terahertz Aerospace Communications

Published in IEEE Transactions on Vehicular Technology, 2025

This paper proposes a dynamic autoencoder system based on channel prediction to enhance its robustness against complicated dynamic channel fading and distortions in aerospace THz communication systems.

Recommended citation: Y. Huang, T. Mao, D. He, Q. Wang, C. Han, and Z. Wang, "Channel-Adaptive Autoencoder Architecture for Terahertz Aerospace Communications," IEEE Trans. Veh. Technol., vol. 75, no. 2, pp. 3288-3293, Feb. 2026.
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[J32] System-Level Performance Analysis of LoRa-Based LEO Satellite Constellations for IoT Communications

Published in IEEE Wireless Communications Letters, 2025

This letter proposes a novel spherical stochastic geometry (SG)-based analytical framework to characterize the system-level performance of Long-Range (LoRa)-based low Earth orbit (LEO) satellite constellations.

Recommended citation: Q. Yu, D. Mishra, H. Wang, D. He, J. Yuan and M. Matthaiou, "System-Level Performance Analysis of LoRa-Based LEO Satellite Constellations for IoT Communications," IEEE Wireles Commun. Lett., vol. 14, no. 10, pp. 3279-3283, Oct. 2025.
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[J31] Meta-Learning Empowered Receiver Design for MIMO-OFDM System under HPA Nonlinearity

Published in IEEE Transactions on Vehicular Technology, 2025

This paper investigates a meta-learning empowered detector for multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems under nonlinear distortions of high power amplifier (HPA).

Recommended citation: Z. Liu, N. Wu, D. He, W. Yuan, and C. Yuen, "Meta-Learning Empowered Receiver Design for MIMO-OFDM System under HPA Nonlinearity," IEEE Trans. Veh. Technol., vol. 75, no. 1, pp. 1608-1612, Jan. 2026.
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[J30] Hybrid Beamforming for mmWave Integrated Sensing and Communication with Multi-static Cooperative Localization

Published in IEEE Transcations on Wireless Communications, 2025

This paper investigates hybrid beamforming (HBF) design for millimeter-wave (mmWave) multiple-input multiple-output (MIMO) ISAC system with multi-static cooperative localization.

Recommended citation: M. Yuan, D. He, H. Yin, H. Wang, F. Liu, Z. Wang, and T. Q.S. Quek, "Hybrid Beamforming for mmWave Integrated Sensing and Communication with Multi-static Cooperative Localization," IEEE Trans. Wireless Commun., vol. 25, pp.771-786, 2026.
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[J29] Joint Channel and Clipping Amplitude Estimation and Signal Detection for Clipped OTFS

Published in IEEE Transcations on Wireless Communications, 2025

This paper investigates the receiver design for clipped orthogonal time frequency space (OTFS) systems, where the user devices are equipped with power amplifiers (PAs) with low dynamic range.

Recommended citation: Y. Chen, D. He, H. Wang, W. Yuan, and T. Q.S. Quek, "Joint channel and clipping amplitude estimation and signal detection for clipped OTFS," IEEE Trans. Wireless Commun., vol. 25, pp. 335-360, 2026.
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[J28] Data Association for Moving Multi-Target Sensing in Distributed OTFS Radars

Published in IEEE Internet of Things Journal, 2025

This article investigate ISAC-based multi-target sensing with distributed OTFS radars to deliver reliable performance for UAV networks, which leverages the delay and Doppler information featured by OTFS signals to determine the range and radial velocity. Moreover, a novel optimization framework is proposed to perform data association and target sensing tasks.

Recommended citation: B. Li, D. He and Q. Tao, "Data Association for Moving Multi-Target Sensing in Distributed OTFS Radars," IEEE Internet Things J., vol.14, no. 4, pp.5544-5555, Feb. 2026.
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[J27] Ubiquitous UAV Communication Enabled Low-Altitude Economy: Applications, Techniques, and 3GPP’s Efforts

Published in IEEE Network, 2025

This article provides insights into the challenges and opportunities for UAV communication in the evolving low-altitude economy, with a view towards future deployment and regulation.

Recommended citation: D. He, W. Yuan, J. Wu and R. Liu, "Ubiquitous UAV Communication Enabled Low-Altitude Economy: Applications, Techniques, and 3GPP’s Efforts," IEEE Netw., vol. 40, no. 1, pp. 115-122, Jan. 2026.
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[J26] Towards LoRa-Based LEO Satellite IoT: A Stochastic Geometry Perspective

Published in IEEE Internet of Things Journal, 2025

This paper provides a novel spherical stochastic geometry (SG) based analytical framework for characterizing the uplink access probability of LoRa-based LEO satellite IoT system.

Recommended citation: Q. Yu, D. Mishra, H. Wang, D. He, J. Yuan and M. Matthaiou, "Towards LoRa-Based LEO Satellite IoT: A Stochastic Geometry Perspective," IEEE Internet Things J., vol. 12, no. 15, pp. 30725-30738, 01 Aug. 2025.
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[J25] Tensor-Based Unified Joint Channel Estimation and Active Device Detection Scheme for High-Mobility Grant-Free Random Access Scenarios

Published in IEEE Internet of Things Journal, 2025

This paper investigates massive grant-free random access (GF-RA) in high mobility scenarios, focusing on active device detection (ADD) and channel estimation (CE) under fast time-varying channels.

Recommended citation: Z. Kang, D. He, H. Wang, Z. Wang, and Z. Han, "Tensor-Based Unified Joint Channel Estimation and Active Device Detection Scheme for High-Mobility Grant-Free Random Access Scenarios," IEEE Internet Things J., vol. 12, no. 14, pp. 26415-26429, 15 Jul. 2025.
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[J24] GNN-Assisted BiG-AMP: Joint Channel Estimation and Data Detection for Massive MIMO Receiver

Published in IEEE Transactions on Wireless Communication, 2025

This paper is about a graph neural network (GNN)-assisted bilinear inference approach to enhance the receiver performance of the MIMO system through message passing-based joint channel estimation and data detection (JCD).

Recommended citation: Z. Liu, N. Wu, D. He, W. Yuan, Y. Li, and T. Q.S. Quek, "GNN-Assisted BiG-AMP: Joint Channel Estimation and Data Detection for Massive MIMO Receiver," IEEE Trans. Wireless Commun., vol. 24, no. 6, pp. 4631-4646, Apr. 2025.
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[J23] A Unified Tensor-Based Joint AUD and ISAC Parameter Estimation With Large-Scale User Access

Published in IEEE Transactions on Cognitive Communications and Networking, 2025

This paper is about a unified tensor-based joint communication and sensing parameter estimation algorithm.

Recommended citation: T. Yang, D. He, H. Hou, H. Wang, H. Yin, Y. Huang, Z. Wang, and T. Q.S. Quek, "A Unified Tensor-Based Joint AUD and ISAC Parameter Estimation With Large-Scale User Access," IEEE Trans. Cogn. Commun. Netw., , vol. 11, no. 5, pp. 3047-3061, Oct. 2025.
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[J22] Integrated Sensing and Communication Receiver Design for OTFS-based MIMO System: A Unified Variational Inference Framework

Published in IEEE Journal on Selected Areas in Communications, 2025

This paper is about a novel integrated sensing and communication (ISAC) receiver design framework for OTFS-based MIMO systems from a unified perspective of variational inference.

Recommended citation: N. Wu, H. Li, D. He, A. Nallanathan, and T. Q.S. Quek, "Integrated Sensing and Communication Receiver Design for OTFS-based MIMO System: A Unified Variational Inference Framework," IEEE J. Sel. Areas Commun., vol. 43, no. 4, pp. 1339-1353, Apr. 2025.
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[J21] Layered Group-Based Chirp Spread Spectrum Modulation: Waveform Design and Performance Analysis

Published in IEEE Transactions on Communications, 2024

This paper is about waveform design and performance analysis for layered group-based chirp spread spectrum modulation.

Recommended citation: Q. Yu, Z. Lu, D. He, and H. Wang, "Layered Group-Based Chirp Spread Spectrum Modulation: Waveform Design and Performance Analysis," IEEE Trans. Commun., vol. 73, no. 7, pp. 5051-5064, Jul. 2025.
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[J20] A Lightweight and Efficient Key Generation Scheme From OFDM Subcarriers’ Channel Responses

Published in IEEE Communications Letters, 2024

This paper is about a physical layer secret key generation (PLSKG) protocol utilizing the amplitude of channel frequency response (CFR) of Orthogonal Frequency Division Multiplexing (OFDM) subcarriers.

Recommended citation: A. F. Kawoya, H. Wang, and D. He, "A Lightweight and Efficient Key Generation Scheme From OFDM Subcarriers’ Channel Responses," IEEE Wireless Commun. Lett., vol. 13, no. 11, pp. 3177–3181, Nov. 2024.
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[J19] Enhanced Group-Based Chirp Spread Spectrum Modulation: Design and Performance Analysis

Published in IEEE Internet of Things Journal, 2024

This paper is about two enhanced group-based CSS modulation schemes, named IQ-GCSS (in-phase and quadrature group-based CSS) and TDM-GCSS (time domain multiplexed group-based CSS), which can achieve much higher SE than the conventional LoRa modulation.

Recommended citation: Q. Yu, H. Wang, D. He, and Z. Lu, "Enhanced Group-Based Chirp Spread Spectrum Modulation: Design and Performance Analysis," IEEE Internet Things J., vol. 12, no. 5, pp. 5079-5092, Mar. 2025.
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[J17] Integrating Sensing and Communication for IoT Systems: Task-Oriented Control Perspective

Published in IEEE Internet of Things Magazine, 2024

This paper provides an overview of ISAC-enabled IoT systems in terms of their framework and key technologies.

Recommended citation: D. He, H. Hou, R. Jiang, X. Yu, Z. Zhao, Y. Mo, Y. Huang, W. Yu, and T. Q. S. Quek, "Integrating Sensing and Communication for IoT Systems: Task-Oriented Control Perspective; IEEE Internet Things Mag., vol. 7, no. 4, pp. 76–83, Jun. 2024.
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[J16] Model-Driven IEP-GNN Framework for MIMO Detection With Bayesian Optimization

Published in IEEE Wireless Communications Letters, 2024

This paper is about a model-driven detector called IEP-GNN is proposed for massive multiple-input and multiple-output (MIMO) systems.

Recommended citation: Z. Liu, D. He, N. Wu, Q. Yan, and Y. Li, "Model-driven IEP-GNN framework for MIMO detection with Bayesian optimization," IEEE Wireless Commun. Lett., vol. 13, no. 2, pp. 387–391, Feb. 2024.
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[J15] Alternating optimization based hybrid transceiver designs for wideband millimeter-wave massive multiuser MIMO-OFDM systems

Published in IEEE Transactions on Wireless Communications, 2023

This paper is about several hybrid transceiver designs in wideband mmWave massive multiuser MIMO-OFDM systems for maximizing the spectral efficiency.

Recommended citation: M. Yuan, H. Wang, H. Yin, and D. He, "Alternating optimization based hybrid transceiver designs for wideband millimeter-wave massive multiuser MIMO-OFDM systems," IEEE Trans. Wireless Commun., vol. 22, no. 12, pp. 9201–9217, Dec. 2023.
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[J14] Design and Implementation of Spectrally Efficient Frequency Division Multiplexing Receiver

Published in IEEE Access , 2023

This paper is about the design of SEFDM receiver, including sampling frequency synchronization (SFS), timing synchronization, phase recovery, and detector design.

Recommended citation: Y. Qi, T. Zhang, Y. Feng, Z. Qin and D. He, "Design and Implementation of Spectrally Efficient Frequency Division Multiplexing Receiver," IEEE Access, vol. 11, pp. 121482–121491, Nov. 2023.
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[J13] Two-Stage LMMSE/DNN Receiver for High-Order Modulation

Published in IEEE Communications Letters , 2023

This paper is about a two-stage receiver consisting of linear minimize mean squared error (LMMSE) equalizer and deep neural network (DNN) demodulator, namely TSLD receiver.

Recommended citation: Z. Huang; D. He; Z. Wang, "Two-Stage LMMSE/DNN Receiver for High-Order Modulation," IEEE Commun. Lett., vol. 27, no. 8, pp. 2068–2072, Aug. 2023.
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[J12] SSK Based PSK-LoRa Modulation for IoT Communications

Published in IEEE Open Journal of the Communications Society, 2023

This paper is about SSK PSK-LoRa (slope-shift-keying and phase-shift-keying LoRa) modulation, which can achieve higher SE and better energy efficiency (EE) than the conventional LoRa modulation.

Recommended citation: Q. Yu, D. He, Z. Lu, and H. Wang, "SSK Based PSK-LoRa Modulation for IoT Communications," IEEE Open J. Commun. Soc., vol. 4, pp. 1487–1498, Jul. 2023.
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[J11] Performance Comparison of Single-Carrier and Multi-Carrier Waveforms over Terahertz Wireless Channels

Published in Digital Communications and Networks, 2023

This paper is about waveform comparison over Tearhertz channel, where both single-carrier and multi-carrier waveforms are considered.

Recommended citation: D. He, Z. Zhang, H. Lin, Z. Wu, Y. Huang, Z. Wang. "Performance Comparison of Single-Carrier and Multi-Carrier Waveforms over Terahertz Wireless Channels," Digital Commun. Netw., vol. 10, no. 5, pp. 1297-1304, Oct. 2024.
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[J10] UAV-Assisted Satellite-Terrestrial Secure Communication Using Large-Scale Antenna Array With One-Bit ADCs/DACs

Published in IEEE Transactions on Communications, 2023

This paper is about a novel architecture with one-bit analog-to-digital converters (ADCs) and one-bit digital-to-analog converters (DACs) for UAV-assisted satellite-terrestrial communication systems using large-scale antenna array.

Recommended citation: D. He, Z. Sha, H. Liu, T. Mao, and Z. Wang, "UAV-assisted satellite-terrestrial secure communication using large-scale antenna array with one-bit ADCs/DACs," IEEE Trans. Commun., vol. 71, no. 1, pp. 580–594, Jan. 2023.
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[J09] DeepAntiJam: Stackelberg game-oriented secure transmission via deep reinforcement learning

Published in IEEE Communications Letters, 2022

This paper is about a deep reinforcement learning-assisted anti-jamming transmission scheme (DeepAntiJam) to guarantee reliable and creditable transmission in the presence of one smart jammer and multiple eavesdroppers.

Recommended citation: D. He and Z. Wang, "Deep learning-assisted demodulation for terahertz communications under hybrid distortions," IEEE Commun. Lett., vol. 26, no. 2, pp. 325–329, Feb. 2022.
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[J08] Autoencoder with fitting network for Terahertz wireless communications: A deep learning approach

Published in China Communications, 2022

This paper is about an improved autoencoder including coding the transmitted symbols at the transmitter and decoding the corresponding signals at the receiver to improve the robustness against these hybrid distortions in Terahertz wireless communications

Recommended citation: Z. Huang, D. He, J. Chen, Z. Wang, and S. Chen, "Autoencoder with fitting network for terahertz wireless communications: A deep learning approach," China Commun., vol. 19, no. 3, pp. 172–180, Mar. 2022.
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[J07] Secure routing in multihop ad-hoc networks with srr-based reinforcement learning

Published in IEEE Wireless Communications Letters, 2022

This paper is about a reinforcement learning-assisted secure routing methodology for multihop ad-hoc networks in the presence of multiple eavesdroppers.

Recommended citation: J. Lu, D. He, and Z. Wang, "Secure routing in multihop ad-hoc networks with SRR-based reinforcement learning," IEEE Wireless Commun. Lett., vol. 11, no. 2, pp. 362–366, Feb. 2022.
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[J05] Deep learning-assisted TeraHertz QPSK detection relying on single-bit quantization

Published in IEEE Transactions on Communications, 2021

This paper is about a deep learning-assisted THz receiver to address imperfections of THz devices and single-bit quantization, including in-phase/quadrature-phase imbalance, phase noise and nonlinearity.

Recommended citation: D. He, Z. Wang, T. Q. S. Quek, S. Chen, and L. Hanzo, "Deep learning assisted terahertz QPSK detection relying on single-bit quantization," IEEE Trans. Commun., vol. 69, no. 12, pp. 8175–8187, Dec. 2021.
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[J04] Deep learning assisted calibrated beam training for millimeter-wave communication systems

Published in IEEE Transactions on Communications, 2021

This paper is about a wide beam based training approach to calibrate the narrow beam direction according to the channel power leakage.

Recommended citation: K. Ma, D. He, H. Sun, Z. Wang, and S. Chen, "Deep learning assisted calibrated beam training for millimeter-wave communication systems," IEEE Trans. Commun., vol. 69, no. 10, pp. 6706–6721, Oct. 2021.
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[J03] Orthogonal time frequency space (OTFS) with dual-mode index modulation

Published in IEEE Wireless Communications Letters, 2021

This paper is about a new transmission scheme, called OTFS with dual-mode index modulation (OTFS-DM-IM), which can balance the transmission reliability and spectral efficiency.

Recommended citation: H. Zhao, D. He, Z. Kang, and H. Wang, "Orthogonal time frequency space (OTFS) with dual-mode index modulation," IEEE Wireless Commun. Lett., vol. 10, no. 5, pp. 991–995, May 2021.
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[J02] Learning-Based Wireless Powered Secure Transmission

Published in IEEE Wireless Communications Letters, 2019

This paper is about a learning-based wireless powered secure transmission, in which a source utilizes energy harvested from a power beacon to communicate with a legitimate receiver, in the presence of an eavesdropper.

Recommended citation: D. He, C. Liu, H. Wang, and T. Q. S. Quek, "Learning-based wireless powered secure transmission," IEEE Wireless Commun. Lett., vol. 8, no. 2, pp. 600–603, Apr. 2019.
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[J01] Transmit antenna selection in MIMO wiretap channels: A machine learning approach

Published in IEEE Wireless Communications Letters, 2018

This paper is about utilizing machine learning in enhancing physical layer security in multi-input multi-output multi-antenna-eavesdropper wiretap channels.

Recommended citation: D. He, C. Liu, T. Q. S. Quek, and H. Wang, "Transmit antenna selection in MIMO wiretap channels: A machine learning approach," IEEE Wireless Commun. Lett., vol. 7, no. 4, pp. 634–637, Aug. 2018.
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Conference Papers

[C24] Near-Field Hybrid Beamforming Design for mmWave Integrated Sensing and Communication

Published in 2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall), 2026

This paper investigates near-field hybrid beam-forming design for millimeter-wave (mmWave) integrated sensing and communication (ISAC) systems, where one base station (BS) equipped with large-scale antenna array simultaneously serves multiple communication users and performs target localization by exploiting the degrees of freedom in both angle and distance domains.

Recommended citation: M. Yuan, D. He, H. Yin, Y. Liu, Z. Kang, and H. Wang, "Near-Field Hybrid Beamforming Design for mmWave Integrated Sensing and Communication," in Proc. 2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall), Chengdu, China, 2025, pp. 1-6.
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[C23] Two-Step-Search Based Spatio-Temporal Resource Allocation for Task-Oriented Single-Beam Directional Wireless Networks

Published in 2025 6th International Conference on Electronic Communication and Artificial Intelligence (ICECAI), 2025

This paper investigates a mathematical model based on integer linear programming (ILP) is established for spatio-temporal resource allocation, with theoretical upper bounds for network capacity and VoI derived through GUROBI optimizer.

Recommended citation: Z. Wu, Y. Miao, D. He, Y. Cao, H. Wang, and C. Wang, "Two-Step-Search Based Spatio-Temporal Resource Allocation for Task-Oriented Single-Beam Directional Wireless Networks," in Proc. 2025 6th International Conference on Electronic Communication and Artificial Intelligence (ICECAI), Chengdu, China, 2025, pp. 132-138.
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[C22] Hybrid Beamforming for Millimeter-Wave ISAC System with Multi-Static Cooperative Localization

Published in 2025 IEEE International Conference on Communications (ICC), 2025

This paper investigates hybrid beamforming design for millimeter-wave (mmWave) multipleinput multiple-output (MIMO) ISAC system with multi-static cooperative localization, where one access point (AP) simultaneously transmits communication beams to serve multiple user equipments (UEs) and transmits a sensing beam towards a target, and other nearby APs perform cooperative localization on the target by estimating the angle-of-arrivals (AOAs) of received echo signals.

Recommended citation: M. Yuan, D. He, H. Yin and H. Wang, "Hybrid Beamforming for Millimeter-Wave ISAC System with Multi-Static Cooperative Localization," in Proc. 2025 IEEE International Conference on Communications (ICC), Montreal, QC, Canada, 2025, pp. 6729-6734.
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[C21] Closed-Form Access Probability Analysis for LoRa-Based LEO Satellite IoT

Published in 2025 IEEE International Conference on Communications (ICC), 2025

This paper provides a novel analytical framework based on spherical stochastic geometry (SG) for characterizing the uplink access probability of LoRa-based LEO satellite IoT.

Recommended citation: Q. Yu, D. Mishra, H. Wang, D. He, J. Yuan and M. Matthaiou, "Closed-Form Access Probability Analysis for LoRa-Based LEO Satellite IoT," in Proc. 2025 IEEE International Conference on Communications (ICC), Montreal, QC, Canada, 2025, pp. 3193-3199.
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[C20] Low-Complexity Joint Range and Velocity Estimation for OFDM-Based Integrated Sensing and Communication

Published in 2025 International Wireless Communications and Mobile Computing (IWCMC), 2025

This paper proposes a low-complexity joint range and velocity estimation algorithm, referred to as the particle swarm optimization reconstructed subspace multiple signal classification (PSO-RS-MUSIC)

Recommended citation: Y. Cao, D. He, T. Yang, H. Wang and R. Jiang, "DRL-Based Service Function Chains Embedding Through Network Function Virtualization in STINs," in Proc. 2025 International Wireless Communications and Mobile Computing (IWCMC), Abu Dhabi, United Arab Emirates, 2025, pp. 1047-1052.
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[C19] Codebook Design for Holographic MIMO Near-Field Prospects and Road to Standardization

Published in 2025 International Wireless Communications and Mobile Computing (IWCMC), 2025

This article investigates the codebook solution for HMIMO, unmasking a number of challenges intrinsic in the near-field context and limitations of applying codebooks specified in current standards.

Recommended citation: Y. Chen, D. He, S. Li and T. Mao, "DRL-Based Service Function Chains Embedding Through Network Function Virtualization in STINs," in Proc. 2025 International Wireless Communications and Mobile Computing (IWCMC), Abu Dhabi, United Arab Emirates, 2025, pp. 1084-1090.
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[C18] Beamforming Optimization for STAR-RIS-Assisted Integrated Sensing and Communication

Published in 2025 International Wireless Communications and Mobile Computing (IWCMC), 2025

In this paper, simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted integrated sensing and communication (ISAC) is considered, and a novel method rooted in fractional programming (FP) and block coordinate descent (BCD) is introduced.

Recommended citation: F. Zhao, Z. Pan, X. Xia, M. Yuan, D. He and H. Hou, "DRL-Based Service Function Chains Embedding Through Network Function Virtualization in STINs," in Proc. 2025 International Wireless Communications and Mobile Computing (IWCMC), Abu Dhabi, United Arab Emirates, 2025, pp. 740-745.
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[C17] Parameter Estimation of Sensing Targets in OTFS-ISAC: Challenges and Applications

Published in 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2024

This paper is about the parameter estimation problem of sensing targets in the OTFS-ISAC system.

Recommended citation: G. Jiao, R. Jiang, Y. Peng and D. He, "Parameter Estimation of Sensing Targets in OTFS-ISAC: Challenges and Applications," in Proc. 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), Zhuhai, China, 2024, pp. 1-6.
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[C16] DRL-Based Service Function Chains Embedding Through Network Function Virtualization in STINs

Published in 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2024

This paper is about a STIN architecture based on artificial intelligence (AI) algorithms and the process of embedding Service Function Chains (SFCs) into highly dynamic STINs.

Recommended citation: L. Li, C. Yang, H. Li and D. He, "DRL-Based Service Function Chains Embedding Through Network Function Virtualization in STINs," in Proc. 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), Zhuhai, China, 2024, pp. 1-5.
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[C15] A Unified Tensor-Based Joint Communication and Sensing Parameter Estimation for ISAC with Large-Scale User Access

Published in 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2024

This paper is about the combination of active user detection (AUD) and integrated sensing and communication (ISAC).

Recommended citation: T. Yang, D. He, H. Hou, H. Wang, Y. Huang, and Z. Wang, "A Unified Tensor-Based Joint Communication and Sensing Parameter Estimation for ISAC with Large-Scale User Access," in Proc. 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), Zhuhai, China, 2024, pp. 1-6.
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[C14] UAV-Assisted Legitimate Wireless Surveillance: Performance Analysis and Optimization

Published in 2024 IEEE International Conference on Unmanned Systems (ICUS), 2024

This paper is about a wireless legitimate surveillance system, where a multi-antenna legitimate monitor unmanned aerial vehicle (UAV) aims to eavesdrop a suspicious communication link with the help of a jammer UAV.

Recommended citation: D. He and H. Hou, "UAV-Assisted Legitimate Wireless Surveillance: Performance Analysis and Optimization," in Proc. 2024 IEEE International Conference on Unmanned Systems (ICUS), Nanjing, China, 2024, pp. 1975-1979.
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[C13] Cell-Free Integrated Sensing and Communication for UGV Detection Based on Decomposed Back Projection Algorithm

Published in 2024 IEEE International Conference on Unmanned Systems (ICUS), 2024

This paper is about the localization and velocimetry problem of UGV by integrated sensing and communications in a Sub-6GHz cell-free system.

Recommended citation: Z. Yue, Y. Huang, H. Hou and D. He, "Cell-Free Integrated Sensing and Communication for UGV Detection Based on Decomposed Back Projection Algorithm," in Proc. 2024 IEEE International Conference on Unmanned Systems (ICUS), Nanjing, China, 2024, pp. 1504-1509.
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[C12] Reinforcement-Learning-Enabled Beam Alignment for Water-Air Direct Optical Wireless Communications

Published in 2024 IEEE/CIC International Conference on Communications in China (ICCC), 2024

This paper is about one novel beam alignment strategy based on deep reinforcement learning (DRL) for water-air direct optical wireless communications.

Recommended citation: J. Liu, T. Mao, D. He, Y. Yang, Z. Gao, and D. Zheng, "Reinforcement-Learning-Enabled Beam Alignment for Water-Air Direct Optical Wireless Communications," in Proc. 2024 IEEE/CIC International Conference on Communications in China (ICCC), Hangzhou, China, 2024, pp. 138-143.
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[C11] Learning-Assisted Receiver for ACO-OFDM with Device Imperfections

Published in 2024 IEEE/CIC International Conference on Communications in China (ICCC), 2024

This paper is about a learning-assisted receiver, where convolutional neural network (CNN) is adopted to demodulate the received signal with distortion.

Recommended citation: L. Li, H. Liu, T. Mao, D. He and H. Hou, "Learning-Assisted Receiver for ACO-OFDM with Device Imperfections," in Proc. 2024 IEEE/CIC International Conference on Communications in China (ICCC), Hangzhou, China, 2024, pp. 2012-2016.
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[C10] An Action Recognition Algorithm Based on Two-Stream Deep Learning for Metaverse Applications

Published in 2024 International Wireless Communications and Mobile Computing (IWCMC), 2024

This paper is about a residual artificial neural network with two-stream structure to further improve the accuracy of action recognition algorithm.

Recommended citation: J. Liu, T. Mao, Y. Huang and D. He, "An Action Recognition Algorithm Based on Two-Stream Deep Learning for Metaverse Applications," in Proc. 2024 International Wireless Communications and Mobile Computing (IWCMC), Ayia Napa, Cyprus, 2024, pp. 639-642.
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[C09] Improved Impulsive Noise Suppression Method: Joint Myriad Detection and Gaussian Fitting Robust Local Weighted Smoothing

Published in 2023 9th International Conference on Computer and Communications (ICCC), 2023

This paper is about a Myriad detection - Gaussian fitting robust local weighted regression smoothing (M-GLOESS) algorithm.

Recommended citation: Y. Zhan, D. He, S. An and H. Wang, "Improved Impulsive Noise Suppression Method: Joint Myriad Detection and Gaussian Fitting Robust Local Weighted Smoothing," in Proc. 2023 9th International Conference on Computer and Communications (ICCC), Chengdu, China, 2023, pp. 752-756.
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[C08] BiLSTM-Based Frame Synchronization for Overlapped S-AIS Signals: A Learning-Empowered Approach

Published in 2023 IEEE/CIC International Conference on Communications in China (ICCC), 2023

This paper is about two learning-empowered frame synchronization methods.

Recommended citation: T. Yang, D. He, Z. Lu, H. Wang, H. Zhao and Z. Wu, "BiLSTM-Based Frame Synchronization for Overlapped S-AIS Signals: A Learning-Empowered Approach," in Proc. 2023 IEEE/CIC International Conference on Communications in China (ICCC), Dalian, China, 2023, pp. 1-6.
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[C07] PCA-BD-Based Broadband Hybrid Precoding for Multi-user Massive MIMO Systems

Published in 2022 IEEE 22nd International Conference on Communication Technology (ICCT), 2022

This paper is about a principal component analysis (PCA) and block diagonalization (BD) based precoding method.

Recommended citation: T. Zhu, Y. Sun, D. He and H. Wang, "PCA-BD-Based Broadband Hybrid Precoding for Multi-user Massive MIMO Systems," in Proc. 2022 IEEE 22nd International Conference on Communication Technology (ICCT), Nanjing, China, Nov. 2022, pp. 184-189.
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[C06] Deep learning assisted mmWave beam prediction with prior low-frequency information

Published in 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021

This paper is about beam tracking with prior low-frequency information to predict the optimal mmWave beam, where deep learning is adopted to enhance the prediction accuracy.

Recommended citation: K. Ma, D. He, H. Sun, and Z. Wang, "Deep learning assisted mmWave beam prediction with prior low-frequency information," in Proc. IEEE Int. Conf. Commun., Jun. 2021, pp. 1–6.
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[C05] Learning-assisted secure relay selection with outdated CSI for finite-state Markov channel

Published in 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021

This paper is about secure relay selection for finite-state Markov channel and a Q-learning assisted relay selection scheme

Recommended citation: J. Lu, D. He, and Z. Wang, "Learning-assisted secure relay selection with outdated CSI for finite-state Markov channel," in Proc. IEEE 93rd Veh. Technol. Conf. (VTC-Spring), Helsinki, Finland, Apr. 2021, pp. 1–5.
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[C04] Optimal relay selection with a full-duplex active eavesdropper in cooperative wireless networks

Published in 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 2019

This paper is about the physical layer security of a dual-hop cooperative network in the presence of a full-duplex active eavesdropper, which can overhear the confidential signals and transmit jamming signals simultaneously.

Recommended citation: H. Zhou, D. He, H. Wang and D. Yang, "Optimal Relay Selection with a Full-Duplex Active Eavesdropper in Cooperative Wireless Networks," in Proc. IEEE 89th Veh. Technol. Conf. (VTC-Spring), Kuala Lumpur, Malaysia, 2019, pp. 1–5.
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[C03] Secure communication with wireless powered friendly jammers under multiple eavesdroppers

Published in 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 2019

This paper is about a secure communication scheme, where a source transmits information to the legitimate receiver in the presence of multiple eavesdroppers.

Recommended citation: D. He, H. Zhou, H. Wang, and D. Yang, "Secure communication with wireless powered friendly jammers under multiple eavesdroppers," in Proc. IEEE 89th Veh. Technol. Conf. (VTC-Spring), Kuala Lumpur, Malaysia, 2019, pp. 1–5.
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[C02] Energy-efficient secure transmission in massive MIMO systems with pilot attack

Published in 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP), 2016

This paper is about the energy-efficient power allocation for secure transmission in MIMO systems, where an active multi-antennas eavesdropper sends pilot signals as that of destination receiver to transmitter simultaneously in the uplink training phase.

Recommended citation: B. Li, L. Li, D. He, J. Chen, and W. Kong, "Energy-efficient secure transmission in massive MIMO systems with pilot attack," in Proc. IEEE International Conference on Wireless Communications and Signal Processing (WCSP), Yangzhou, China, Nov. 13-15, 2016.
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[C01] Indirect Learning Hybrid Memory Predistorter Based on Polynomial and Look-Up-Table

Published in 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015

This paper is about a hybrid POLY and LUT predistorter for memory nonlinear system in wideband scenarios.

Recommended citation: Z. Long, H. Wang, N. Guan, N. Wu and D. He, "Indirect Learning Hybrid Memory Predistorter Based on Polynomial and Look-Up-Table," in Proc. 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), Glasgow, UK, 2015, pp. 1-5.
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