Qihang Peng

According to our database, Qihang Peng authored at least 42 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target.

Hongliang Guo, Qihang Peng, Zhiguang Cao, Yaochu Jin

IEEE Trans. Neural Networks Learn. Syst., March, 2024

2023

A Spatial-Specific Neural Network-Based OFDM Channel Estimation Under Time-Varying Channels.

Wei Huang, Jun Wang, Xiaonan Chen, Qihang Peng, Yuxi Zha, Li Li

IEEE Wirel. Commun. Lett., December, 2023

Learning Dynamic Computing Resource Allocation in Convolutional Neural Networks for Wireless Interference Identification.

Pengyu Wang, Yufan Cheng, Qihang Peng, Jun Wang, Shaoqian Li

IEEE Trans. Veh. Technol., July, 2023

Learning Based Multi-Channel Access in Vehicular Networks With Illegal Operators and Users.

Li Li, Wei Li, Xiaonan Chen, Jun Wang, Qihang Peng

IEEE Trans. Veh. Technol., March, 2023

Tensor-Based Parametric Spectrum Cartography From Irregular Off-Grid Samplings.

Xiaonan Chen, Jun Wang, Guoyong Zhang, Qihang Peng

IEEE Signal Process. Lett., 2023

UAV Trajectory Optimization for Spectrum Cartography: A PPO Approach.

Li Li, Wei Li, Jun Wang, Xiaonan Chen, Qihang Peng, Wei Huang

IEEE Commun. Lett., 2023

Channel Capacity and Bounds In Mixed Gaussian-Impulsive Noise.

Tianfu Qi, Jun Wang, Qihang Peng, Xiaoping Li, Xiaonan Chen

CoRR, 2023

An End-to-End Communication System with Environmental Adaptability.

Chengjie Zhao, Jun Wang, Wei Huang, Xiaonan Chen, Qihang Peng

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Blind Source Separation for Parameter Estimation Under Mixed Gaussian-Impulsive Noise: An U-net++ Based Method.

Tianfu Qi, Jun Wang, Xiaonan Chen, Wei Huang, Qihang Peng

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Capacity of the Mixed Gaussian-Impulsive Noise Channel.

Tianfu Qi, Jun Wang, Xiaonan Chen, Wei Huang, Qihang Peng

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Viterbi Demodulation of MSK Signal under both Impulsive Noise and Gaussian White Noise.

Tianfu Qi, Wei Huang, Jun Wang, Qihang Peng

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Implementing Jamming Detection on FPGA: An Accelerated Forward Consecutive Mean Excision Approach.

Song Ma, Xiaonan Chen, Jingzhou Wang, Jun Wang, Xueying Li, Shengtang Zhou, Yading Chen, Qihang Peng

Proceedings of the IEEE Military Communications Conference, 2023

2022

Bring Globality Into Convolutional Neural Networks for Wireless Interference Classification.

Pengyu Wang, Yufan Cheng, Binhong Dong, Qihang Peng

IEEE Wirel. Commun. Lett., 2022

Resource Allocation in UAV-Assisted Networks: A Clustering-Aided Reinforcement Learning Approach.

Shiyang Zhou, Yufan Cheng, Xia Lei, Qihang Peng, Jun Wang, Shaoqian Li

IEEE Trans. Veh. Technol., 2022

Multi-Domain Networks for Wireless Interference Recognition.

Pengyu Wang, Yufan Cheng, Binhong Dong, Qihang Peng, Shaoqian Li

IEEE Trans. Veh. Technol., 2022

CTD: Cascaded Temporal Difference Learning for the Mean-Standard Deviation Shortest Path Problem.

Hongliang Guo, Xuejie Hou, Qihang Peng

IEEE Trans. Intell. Transp. Syst., 2022

Low-Bitwidth Convolutional Neural Networks for Wireless Interference Identification.

Pengyu Wang, Yufan Cheng, Qihang Peng, Binhong Dong, Shaoqian Li

IEEE Trans. Cogn. Commun. Netw., 2022

A Constrained Block-Term Tensor Decomposition Framework for Spectrum Cartography.

Xiaonan Chen, Jun Wang, Qihang Peng, Guoyong Zhang

IEEE Signal Process. Lett., 2022

Knowledge Graph Based Waveform Recommendation: A New Communication Waveform Design Paradigm.

Wei Huang, Tianfu Qi, Yundi Guan, Qihang Peng, Jun Wang

CoRR, 2022

Knowledge Graph Based Waveform Recommendation: A New Communication Waveform Design Paradigm.

Wei Huang, Jun Wang, Qihang Peng, Wei Li

Proceedings of the IEEE Global Communications Conference, 2022

2021

Decentralized Decision for Multi-Band Sensing: A Deep Reinforcement Learning Approach.

Li Li, Jun Wang, Wei Li, Qihang Peng, Xiaonan Chen, Shaoqian Li

IEEE Wirel. Commun. Lett., 2021

Secure and Reliable Downlink Transmission for Energy-Efficient User-Centric Ultra-Dense Networks: An Accelerated DRL Approach.

Wei Li, Jun Wang, Li Li, Qihang Peng, Wei Huang, Xiaonan Chen, Shaoqian Li

IEEE Trans. Veh. Technol., 2021

Dynamic spectrum cartography via canonical polyadic tensor decomposition.

Guoyong Zhang, Jun Wang, Qihang Peng, Xiaonan Chen, Shaoqian Li

Signal Process., 2021

Graph Embedding and Approximate Dynamic Programming for the Reliable Shortest Path Problem.

Qihang Peng, Hongliang Guo, Chuan Hu

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Tensor Completion for Dynamic Spectrum Cartography by Canonical Polyadic Decomposition.

Guoyong Zhang, Jun Wang, Qihang Peng, Xiaonan Chen, Wei Huang, Shaoqian Li

Proceedings of the ICC 2021, 2021

2020

Robust Deep Sensing Through Transfer Learning in Cognitive Radio.

Qihang Peng, Andrew Gilman, Nuno Vasconcelos, Pamela C. Cosman, Laurence B. Milstein

IEEE Wirel. Commun. Lett., 2020

Estimation of Sinusoidal Frequency-Modulated Signal Parameters by Two Branches and Two Stages.

Guo Bai, Yufan Cheng, Wanbin Tang, Qihang Peng, Jun Wang

IEEE Trans. Signal Process., 2020

Deep Architectures for Modulation Recognition with Multiple Receive Antennas.

Lei Li, Qihang Peng, Jun Wang

CoRR, 2020

2019

Optimal Sensing Disruption: A Generalized Framework for a Power-Limited Adversary.

Qihang Peng, Pamela C. Cosman, Laurence B. Milstein

IEEE Trans. Commun., 2019

A Neural Network Detector for Spectrum Sensing under Uncertainties.

Ziyu Ye, Qihang Peng, Kelly Levick, Hui Rong, Andrew Gilman, Pamela C. Cosman, Larry B. Milstein

CoRR, 2019

No-Reference Video Quality Assessment Based on Ensemble of Knowledge and Data-Driven Models.

Li Su, Pamela C. Cosman, Qihang Peng

Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Comparison of Neural Network Architectures for Spectrum Sensing.

Ziyu Ye, Andrew Gilman, Qihang Peng, Kelly Levick, Pamela C. Cosman, Larry B. Milstein

Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

Deep Modulation Recognition in an Unknown Environment.

Lei Li, Qihang Peng, Pamela C. Cosman, Laurence B. Milstein

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Robustness of Deep Modulation Recognition under AWGN and Rician Fading.

Bingbing Luo, Qihang Peng, Pamela C. Cosman, Laurence B. Milstein

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Sensing Disruption with Estimation Uncertainty.

Qihang Peng, Pamela C. Cosman, Laurence B. Milstein

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016

Achieving secure spectrum sensing in presence of malicious attacks utilizing unsupervised machine learning.

Yang Li, Qihang Peng

Proceedings of the 2016 IEEE Military Communications Conference, 2016

2014

Handoff Delay-Based Call Admission Control in Cognitive Radio Networks.

Ling Wang, Qicong Peng, Qihang Peng

IEICE Trans. Commun., 2014

Mitigating spectrum sensing data falsification attacks in hard-decision combining cooperative spectrum sensing.

Kun Zeng, Qihang Peng, Youxi Tang

Sci. China Inf. Sci., 2014

2011

Multi-User Resource Allocation for Downlink Multi-Cluster Multicarrier DS CDMA System.

Zhuwei Wang, Qihang Peng, Laurence B. Milstein

IEEE Trans. Wirel. Commun., 2011

Spoofing or Jamming: Performance Analysis of a Tactical Cognitive Radio Adversary.

Qihang Peng, Pamela C. Cosman, Laurence B. Milstein

IEEE J. Sel. Areas Commun., 2011

2010

Optimal Sensing Disruption for a Cognitive Radio Adversary.

Qihang Peng, Pamela C. Cosman, Laurence B. Milstein

IEEE Trans. Veh. Technol., 2010

2006

A Distributed Spectrum Sensing Scheme Based on Credibility and Evidence Theory in Cognitive Radio Context.

Qihang Peng, Kun Zeng, Jun Wang, Shaoqian Li

Proceedings of the IEEE 17th International Symposium on Personal, 2006