Search Results for author: Qingqing Wu

Found 18 papers, 0 papers with code

IRS-assisted Multi-cell Multi-band Systems: Practical Reflection Model and Joint Beamforming Design

no code implementations13 Apr 2022 Wenhao Cai, Rang Liu, Ming Li, Yang Liu, Qingqing Wu, Qian Liu

Intelligent reflecting surface (IRS) has been regarded as a promising and revolutionary technology for future wireless communication systems owing to its capability of tailoring signal propagation environment in an energy/spectrum/hardware-efficient manner.

Trajectory and Transmit Power Optimization for IRS-Assisted UAV Communication under Malicious Jamming

no code implementations14 Jan 2022 Zhi Ji, Wendong Yang, Xinrong Guan, Xiao Zhao, Guoxin Li, Qingqing Wu

In this letter, we investigate an unmanned aerial vehicle (UAV) communication system, where an intelligent reflecting surface (IRS) is deployed to assist in the transmission from a ground node (GN) to the UAV in the presence of a jammer.

Energy-Efficient Backscatter Aided Uplink NOMA Roadside Sensor Communications under Channel Estimation Errors

no code implementations11 Sep 2021 Asim Ihsan, Wen Chen, Wali Ullah Khan, Qingqing Wu, Kunlun Wang

In the second stage, AOBWS uses a non-iterative algorithm that provides a closed-form expression for the computation of optimal reflection coefficient for roadside sensors under their quality of service (QoS) and a circuit power constraint.

Elevation Angle-Dependent 3D Trajectory Design for Aerial RIS-aided Communication

no code implementations23 Aug 2021 Yifan Liu, Bin Duo, Qingqing Wu, Xiaojun Yuan, Jun Li, Yonghui Li

This paper investigates an aerial reconfigurable intelligent surface (RIS)-aided communication system under the probabilistic line-of-sight (LoS) channel, where an unmanned aerial vehicle (UAV) equipped with an RIS is deployed to assist two ground nodes in their information exchange.

Full-Dimensional Rate Enhancement for UAV-Enabled Communications via Intelligent Omni-Surface

no code implementations5 Jun 2021 Yifan Liu, Bin Duo, Qingqing Wu, Xiaojun Yuan, Yonghui Li

This paper investigates the achievable rate maximization problem of a downlink unmanned aerial vehicle (UAV)-enabled communication system aided by an intelligent omni-surface (IOS).

IRS-Assisted Wireless Powered NOMA: Do We Really Need Different Phase Shifts in DL and UL?

no code implementations17 Feb 2021 Qingqing Wu, Xiaobo Zhou, Robert Schober

Although adopting different IRS phase shifts for DL WPT and UL WIT, i. e., dynamic IRS beamforming, is in principle possible but incurs additional signaling overhead and computational complexity, it is an open problem whether it is actually beneficial.

Information Theory Hardware Architecture Emerging Technologies Networking and Internet Architecture Information Theory

Intelligent Reflecting Surface Assisted Anti-Jamming Communications Based on Reinforcement Learning

no code implementations23 Dec 2020 Helin Yang, Zehui Xiong, Jun Zhao, Dusit Niyato, Qingqing Wu, Massimo Tornatore, Stefano Secci

Aiming to enhance the communication performance against smart jammer, an optimization problem for jointly optimizing power allocation at the base station (BS) and reflecting beamforming at the IRS is formulated.

reinforcement-learning

Intelligent Reflecting Surface Aided MISO Uplink Communication Network: Feasibility and Power Minimization for Perfect and Imperfect CSI

no code implementations22 Nov 2020 Yang Liu, Jun Zhao, Ming Li, Qingqing Wu

In this paper, we consider the weighted sum-power minimization under quality-of-service (QoS) constraints in the multi-user multi-input-single-output (MISO) uplink wireless network assisted by intelligent reflecting surface (IRS).

A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence

no code implementations19 Oct 2020 Qingqing Wu, Jie Xu, Yong Zeng, Derrick Wing Kwan Ng, Naofal Al-Dhahir, Robert Schober, A. Lee Swindlehurst

On the other hand, providing such communication services simultaneously for both UAV and ground users poses new challenges due to the need for ubiquitous 3D signal coverage as well as the strong air-ground network interference.

Intelligent Reflecting Surface based Passive Information Transmission: A Symbol-Level Precoding Approach

no code implementations29 Jul 2020 Rang Liu, Ming Li, Qian Liu, A. Lee Swindlehurst, Qingqing Wu

Intelligent reflecting surfaces (IRS) have been proposed as a revolutionary technology owing to its capability of adaptively reconfiguring the propagation environment in a cost-effective and hardware-efficient fashion.

Intelligent reflecting surface enhanced wideband MIMO-OFDM communications: From practical model to reflection optimization

no code implementations26 Jul 2020 Hongyu Li, Wenhao Cai, Yang Liu, Ming Li, Qian Liu, Qingqing Wu

Simulation results demonstrate that the proposed algorithm can offer significant average sum-rate enhancement compared to that achieved using the ideal IRS reflection model, which confirms the importance of the use of the practical model for the design of wideband systems.

Intelligent Reflecting Surface Aided Wireless Communications: A Tutorial

no code implementations6 Jul 2020 Qingqing Wu, Shuowen Zhang, Beixiong Zheng, Changsheng You, Rui Zhang

Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal prorogation in wireless networks.

Intelligent Reflecting Surface Aided MISO Uplink Communication Network: Feasibility and Power Minimization for Perfect and Imperfect CSI

no code implementations3 Jul 2020 Yang Liu, Jun Zhao, Ming Li, Qingqing Wu

In this paper, we consider the weighted sum-power minimization under quality-of-service (QoS) constraints in the multi-user multi-input-single-output (MISO) uplink wireless network assisted by intelligent reflecting surface (IRS).

SCMA Spectral and Energy Efficiency with QoS

no code implementations21 Apr 2020 Samira Jaber, Wen Chen, Kunlun Wang, Qingqing Wu

Moreover, the proposed method is compared with orthogonal frequency devision multiple access (OFDMA) and code devision multiple access (CDMA) in terms of spectral efficiency (SE) and energy efficiency (EE) respectively.

Deep Reinforcement Learning Based Intelligent Reflecting Surface for Secure Wireless Communications

no code implementations27 Feb 2020 Helin Yang, Zehui Xiong, Jun Zhao, Dusit Niyato, Liang Xiao, Qingqing Wu

As the system is highly dynamic and complex, and it is challenging to address the non-convex optimization problem, a novel deep reinforcement learning (DRL)-based secure beamforming approach is firstly proposed to achieve the optimal beamforming policy against eavesdroppers in dynamic environments.

reinforcement-learning

Joint Active and Passive Beamforming Optimization for Intelligent Reflecting Surface Assisted SWIPT under QoS Constraints

no code implementations14 Oct 2019 Qingqing Wu, Rui Zhang

Moreover, by exploiting the short-range coverage of IRSs, we further propose a low-complexity algorithm by optimizing the phase shifts of all IRSs in parallel.

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