27 citations · 164 across the 23 of their papers we have counts for
23 papers
On the Capacity Region of Additive-Multiplicative MAC with Heterogeneous Input Constraints
Qianqian Zhang, Ying-Chang Liang
This paper characterizes the capacity region of a two-user additive-multiplicative multiple access channel (AM-MAC) under heterogeneous input constraints. This model captures the f…
Hierarchical Cognitive Spectrum Sharing in Space-Air-Ground Integrated Networks
Zizhen Zhou, Qianqian Zhang, Jungang Ge +1
In space-air-ground integrated networks (SAGINs), cognitive spectrum sharing has been regarded as a promising solution to improve spectrum efficiency by enabling a secondary networ…
Pilot Design and Signal Detection for Symbiotic Radio over OFDM Carriers
Hao Chen, Qianqian Zhang, Ruizhe Long +2
Symbiotic radio (SR) is a promising solution to achieve high spectrum- and energy-efficiency due to its spectrum sharing and low-power consumption properties, in which the secondar…
Assistance-Transmission Tradeoff for RIS-assisted Symbiotic Radios
Hu Zhou, Qianqian Zhang, Ying-Chang Liang +1
This paper studies the reconfigurable intelligent surface (RIS)-assisted symbiotic radio (SR) system, where an RIS acts as a secondary transmitter to transmit its information by le…
Modulation Design and Optimization for RIS-Assisted Symbiotic Radios
Hu Zhou, Bowen Cai, Qianqian Zhang +3
In reconfigurable intelligent surface (RIS)-assisted symbiotic radio (SR), the RIS acts as a secondary transmitter by modulating its information bits over the incident primary sign…
On the Capacity Region of Reconfigurable Intelligent Surface Assisted Symbiotic Radios
Qianqian Zhang, Hu Zhou, Ying-Chang Liang +3
In this paper, we are interested in a reconfigurable intelligent surface (RIS)-assisted symbiotic radio (SR) system, where an RIS assists a primary transmission by passive beamform…
Semi-Supervised Learning for Channel Charting-Aided IoT Localization in Millimeter Wave Networks
Qianqian Zhang, Walid Saad
In this paper, a novel framework is proposed for channel charting (CC)-aided localization in millimeter wave networks. In particular, a convolutional autoencoder model is proposed…
Symbiotic Communications: Where Marconi Meets Darwin
Ying-Chang Liang, Ruizhe Long, Qianqian Zhang +1
With the proliferation of wireless applications, the electromagnetic (EM) space is becoming more and more crowded and complex. This makes it a challenging task to accommodate the g…
Distributed Generative Adversarial Networks for mmWaveChannel Modeling in Wireless UAV Networks
Qianqian Zhang, Aidin Ferdowsi, Walid Saad
In this paper, a novel framework is proposed to enable air-to-ground channel modeling over millimeter wave (mmWave) frequencies in an unmanned aerial vehicle (UAV) wireless network…
Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks
Qianqian Zhang, Aidin Ferdowsi, Walid Saad +1
In this paper, a novel framework is proposed to perform data-driven air-to-ground (A2G) channel estimation for millimeter wave (mmWave) communications in an unmanned aerial vehicle…
Distributional Reinforcement Learning for mmWave Communications with Intelligent Reflectors on a UAV
Qianqian Zhang, Walid Saad, Mehdi Bennis
In this paper, a novel communication framework that uses an unmanned aerial vehicle (UAV)-carried intelligent reflector (IR) is proposed to enhance multi-user downlink transmission…
Symbiotic Radio: Cognitive Backscattering Communications for Future Wireless Networks
Ying-Chang Liang, Qianqian Zhang, Erik G. Larsson +1
The heterogenous wireless services and exponentially growing traffic call for novel spectrum- and energy-efficient wireless communication technologies. In this paper, a new techniq…
Millimeter Wave Communications with an Intelligent Reflector: Performance Optimization and Distributional Reinforcement Learning
Qianqian Zhang, Walid Saad, Mehdi Bennis
In this paper, a novel framework is proposed to optimize the downlink multi-user communication of a millimeter wave base station, which is assisted by a reconfigurable intelligent…
Reconfigurable Intelligent Surface Assisted MIMO Symbiotic Radio Networks
Qianqian Zhang, Ying-Chang Liang, H. Vincent Poor
In this paper, a novel reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) symbiotic radio (SR) system is proposed, in which an RIS, operating a…
Reflections in the Sky: Millimeter Wave Communication with UAV-Carried Intelligent Reflectors
Qianqian Zhang, Walid Saad, Mehdi Bennis
In this paper, a novel approach that uses an unmanned aerial vehicle (UAV)-carried intelligent reflector (IR) is proposed to enhance the performance of millimeter wave (mmW) networ…
Large Intelligent Surface/Antennas (LISA): Making Reflective Radios Smart
Ying-Chang Liang, Ruizhe Long, Qianqian Zhang +3
Large intelligent surface/antennas (LISA), a two-dimensional artificial structure with a large number of reflective-surface/antenna elements, is a promising reflective radio techno…
Intelligent User Association for Symbiotic Radio Networks using Deep Reinforcement Learning
Qianqian Zhang, Ying-Chang Liang, H. Vincent Poor
In this paper, we are interested in symbiotic radio networks, in which an Internet-of-Things (IoT) network parasitizes in a primary network to achieve spectrum-, energy-, and infra…
An Open Source Modeling Framework for Interdependent Energy-Transportation- Communication Infrastructure in Smart and Connected Communities
Xing Lu, Kathryn Hinkelman, Yangyang Fu +4
Infrastructure in future smart and connected communities is envisioned as an aggregate of public services, including the energy, transportation and communication systems, all inter…
Predictive Deployment of UAV Base Stations in Wireless Networks: Machine Learning Meets Contract Theory
Qianqian Zhang, Walid Saad, Mehdi Bennis +3
In this paper, a novel framework is proposed to enable a predictive deployment of unmanned aerial vehicles (UAVs) as temporary base stations (BSs) to complement ground cellular sys…
Noncoherent Multiantenna Receivers for Cognitive Backscatter System with Multiple RF Sources
Huayan Guo, Qianqian Zhang, Dong Li +1
Cognitive backscattering, an integration of cognitive radio and backsatter modulation, is emerging as a potential candidate for green Internet of Things (IoT). In cognitive backsca…
Machine Learning for Predictive On-Demand Deployment of UAVs for Wireless Communications
Qianqian Zhang, Mohammad Mozaffari, Walid Saad +2
In this paper, a novel machine learning (ML) framework is proposed for enabling a predictive, efficient deployment of unmanned aerial vehicles (UAVs), acting as aerial base station…
Cooperative Ambient Backscatter Communications for Green Internet-of-Things
Gang Yang, Qianqian Zhang, Ying-Chang Liang
Ambient backscatter communication (AmBC) enables a passive backscatter device to transmit information to a reader using ambient RF signals, and has emerged as a promising solution…
Quantum Game Theory for Beam Alignment in Millimeter Wave Device-to-Device Communications
Qianqian Zhang, Walid Saad, Mehdi Bennis +1
In this paper, the problem of optimized beam alignment for wearable device-to-device (D2D) communications over millimeter wave (mmW) frequencies is studied. In particular, a noncoo…