no code implementations • 15 Jan 2025 • Qingqing Wu, Guangji Chen, Qiaoyan Peng, Wen Chen, Yifei Yuan, Zhenqiao Cheng, Jianwu Dou, Zhiyong Zhao, Ping Li
Intelligent reflecting surfaces (IRSs) have emerged as a transformative technology for wireless networks by improving coverage, capacity, and energy efficiency through intelligent manipulation of wireless propagation environments.
no code implementations • 10 Jan 2025 • Xiangyu Li, Bodong Shang, Qingqing Wu, Chao Ren
Furthermore, for most SINR thresholds, the sum SE increases with the number of UTs to the highest value, whilst the maximum sum SE is obtained when there are two UTs.
no code implementations • 26 Dec 2024 • Ziyuan Zheng, Qingqing Wu, Wen Chen, Xiangming Wu, Weiren Zhu
By differentially shifting MS 2's position relative to MS 1, the MIS synthesizes distinct beam patterns.
no code implementations • 19 Dec 2024 • Qimei Cui, Xiaohu You, Wei Ni, Guoshun Nan, Xuefei Zhang, Jianhua Zhang, Xinchen Lyu, Ming Ai, Xiaofeng Tao, Zhiyong Feng, Ping Zhang, Qingqing Wu, Meixia Tao, Yongming Huang, Chongwen Huang, Guangyi Liu, Chenghui Peng, Zhiwen Pan, Tao Sun, Dusit Niyato, Tao Chen, Muhammad Khurram Khan, Abbas Jamalipour, Mohsen Guizani, Chau Yuen
The first stage, AI for Network, focuses on employing AI to augment network performance, optimize efficiency, and enhance user service experiences.
no code implementations • 7 Dec 2024 • Yajun Wang, Jinghan Jiang, Xin Du, Zhuxian Lian, Qingqing Wu, Wen Chen
In this paper, we propose an efficient joint precoding design method to maximize the weighted sum-rate in wideband intelligent reflecting surface (IRS)-assisted cell-free networks by jointly optimizing the active beamforming of base stations and the passive beamforming of IRS.
no code implementations • 30 Nov 2024 • Guangji Chen, Jun Li, Qingqing Wu, Yiyang Ni
Under the three protocols, we minimize the per-round latency subject to a given training loss by jointly optimizing the device scheduling, IRS phase-shifts, and communicationcomputation resource allocation.
no code implementations • 17 Nov 2024 • Kai Cao, Tao Yu, Jihong Li, Xiaojing Chen, Yanzan Sun, Qingqing Wu, Wen Chen, Shunqing Zhang
Given the non-convex nature of the problem, we propose an Alternating Optimization Successive Approximation (AOSO) algorithm.
no code implementations • 14 Nov 2024 • Yuan Guo, Wen Chen, Qingqing Wu, Yang Liu, Qiong Wu, Kunlun Wang, Jun Li, Lexi Xu
These challenges can be overcome by networked FD ISAC framework.
no code implementations • 7 Nov 2024 • Zhendong Li, Chang Su, Zhou Su, Haixia Peng, Yuntao Wang, Wen Chen, Qingqing Wu
In this paper, we investigate a secure communication architecture based on unmanned aerial vehicle (UAV), which enhances the security performance of the communication system through UAV trajectory optimization.
no code implementations • 7 Nov 2024 • Zhendong Li, Jianle Ba, Zhou Su, Haixia Peng, Yuntao Wang, Wen Chen, Qingqing Wu
We formulate a problem of minimizing the total transmit power consumption via jointly optimizing the discrete position of MA elements, beamforming vectors, sensing signal covariance matrix and user transmit power.
no code implementations • 11 Oct 2024 • Chi Qiu, Qingqing Wu, Wen Chen, Meng Hua, Wanming Hao, Mengnan Jian, Fen Hou
Then, we extend the piece-wise far-field model to the IRS, based on which, a double-layer delta-delay (DLDD) IRS beamforming scheme is proposed.
no code implementations • 8 Oct 2024 • Ziyuan Zheng, Qingqing Wu, Wen Chen, Guojie Hu
Within this new framework, we analyze the ergodic sum rate and develop efficient MA position optimization algorithms for both maximum-ratio-transmission (MRT) and zero-forcing (ZF) beamforming schemes.
no code implementations • 4 Oct 2024 • Zhendong Li, Wen Chen, Haoran Qin, Qingqing Wu, Xusheng Zhu, Ziheng Zhang, Jun Li
This paper presents a novel multi-stream downlink communication system that utilizes a transmissive reconfigurable intelligent surface (RIS) transceiver.
no code implementations • 1 Oct 2024 • Yue Geng, Tee Hiang Cheng, Kai Zhong, Kah Chan Teh, Qingqing Wu
To tackle the non-convex problem, a product Riemannian manifold optimization (PRMO) method is proposed for the joint design of the beamforming and MA positions.
no code implementations • 30 Sep 2024 • Ying Gao, Qingqing Wu, Wen Chen
This paper investigates a movable antenna (MA)-enabled wireless-powered communication network (WPCN), where multiple wireless devices (WDs) first harvest energy from the downlink (DL) signal broadcast by a hybrid access point (HAP) and then transmit information in the uplink (UL) using non-orthogonal multiple access.
no code implementations • 20 Sep 2024 • Yuanbin Chen, Xufeng Guo, Tianqi Mao, Qingqing Wu, Zhaocheng Wang, Chau Yuen
Different wavenumber atoms, determined within this support, constitute the codebook for MIMO precoding, in which each atom allows for the transmission of a data stream.
no code implementations • 28 Aug 2024 • Fanghao Xia, Zesong Fei, Xinyi Wang, Weijie Yuan, Qingqing Wu, Yuanwei Liu, Tony Q. S. Quek
By considering both fully digital arrays and hybrid analog-digital (HAD) arrays, we investigate the beamforming design in the SSAC system.
no code implementations • 24 Aug 2024 • Zhendong Li, Wen Chen, Qingqing Wu, Ziwei Liu, Chong He, Xudong Bai, Jun Li
Moreover, a near-far field channel model appropriate for this architecture is proposed.
no code implementations • 30 Jul 2024 • Jingran Xu, Huizhi Wang, Yong Zeng, Xiaoli Xu, Qingqing Wu, Fei Yang, Yan Chen, Abbas Jamalipour
We compare the performance of the minimum mean square error (MMSE) of channel estimation and the resulting beamforming gains of our proposed scheme with the traditional scheme that rely exclusively on channel training.
no code implementations • 25 Jul 2024 • Tian Hao, Changxin Shi, Qingqing Wu, Bin Xia, Yinghong Guo, Lianghui Ding, Feng Yang
Integrated sensing and communication (ISAC) emerges as an essential technique for overcoming spectrum congestion.
no code implementations • 17 Jul 2024 • Yifan Jiang, Qingqing Wu, Wen Chen, Hongxun Hui
Specifically, our approach designs the UAV trajectory by solving two subproblems: the candidate trajectory optimization problem and the energy-aware backup trajectory optimization problem.
no code implementations • 16 Jul 2024 • Haoran Qin, Wen Chen, Qingqing Wu, Ziheng Zhang, Zhendong Li, Nan Cheng
This paper investigates a movable antenna (MA)-assisted multiuser integrated sensing and communication (ISAC) system, where the base station (BS) and communication users are all equipped with MA for improving both the sensing and communication performance.
no code implementations • 7 Jul 2024 • Wen Fang, Wen Chen, Qingqing Wu, Xusheng Zhu, Qiong Wu, Nan Cheng
The resonant beam communication (RBC) system, which employs spatially separated laser cavities as the transmitter and receiver, is a high-speed OWC technology capable of self-alignment without tracking.
no code implementations • 4 Jul 2024 • Xiangyu Li, Bodong Shang, Qingqing Wu
Sensing is anticipated to have wider extensions in communication systems with the boom of non-terrestrial networks (NTNs) during the past years.
no code implementations • 1 Jul 2024 • Yapeng Zhao, Qingqing Wu, Wen Chen, Yong Zeng, Ruiqi Liu, Weidong Mei, Fen Hou, Shaodan Ma
This system consists of a multi-antenna multi-functional base station (BS), an edge server, a target, and multiple singleantenna communication users.
no code implementations • 17 Jun 2024 • Long He, Geng Sun, Zemin Sun, Qingqing Wu, Jiawen Kang, Dusit Niyato, Zhu Han, Victor C. M. Leung
Then, we formulate a joint task offloading, resource allocation, and UAV trajectory planning optimization problem (JTRTOP) to maximize the QoE of UDs while considering the energy consumption constraints of UAVs.
no code implementations • 11 Jun 2024 • Xinyuan He, Wen Chen, Qingqing Wu, Xusheng Zhu, Nan Cheng
This letter investigates a short-packet downlink transmission system using non-orthogonal multiple access (NOMA) enhanced via movable antenna (MA).
no code implementations • 9 Jun 2024 • Ruiqi Liu, Shuang Zheng, Qingqing Wu, Yifan Jiang, Nan Zhang, Yuanwei Liu, Marco Di Renzo, and George C. Alexandropoulos
Reconfigurable Intelligent Surfaces (RISs) are a novel form of ultra-low power devices that are capable to increase the communication data rates as well as the cell coverage in a cost- and energy-efficient way.
no code implementations • 24 Apr 2024 • Rui Wang, Deshi Li, Qingqing Wu, Kaitao Meng, Boning Feng, Lele Cong
In this paper, we propose a rechargeable UAV-assisted periodic data collection scheme, where a UAV is dispatched to periodically collect data from sensor nodes (SNs) in the mission area and charged by a wireless charging platform.
no code implementations • 11 Apr 2024 • Saichao Liu, Geng Sun, Jiahui Li, Shuang Liang, Qingqing Wu, Pengfei Wang, Dusit Niyato
To improve the work efficiency of the UVAA, we formulate a UAV-enabled collaborative beamforming multi-objective optimization problem (UCBMOP) to simultaneously maximize the transmission rate of the UVAA and minimize the energy consumption of all UAVs by optimizing the positions and excitation current weights of all UAVs.
no code implementations • 11 Apr 2024 • Jiahui Li, Geng Sun, Qingqing Wu, Dusit Niyato, Jiawen Kang, Abbas Jamalipour, Victor C. M. Leung
Specifically, it is found that DCB enables terminals that cannot reach the uplink achievable threshold to achieve efficient direct uplink transmission, which thus reveals that DCB is an effective solution for enabling direct ground-space communications.
no code implementations • 23 Mar 2024 • Zemin Sun, Geng Sun, Qingqing Wu, Long He, Shuang Liang, Hongyang Pan, Dusit Niyato, Chau Yuen, Victor C. M. Leung
Since the problem is a non-convex and NP-hard mixed integer nonlinear programming (MINLP), we propose a two-timescale joint computing resource allocation, computation offloading, and trajectory control (TJCCT) approach for solving the problem.
no code implementations • 19 Mar 2024 • Hao Jiang, Wangqi Shi, Zaichen Zhang, Cunhua Pan, Qingqing Wu, Feng Shu, Ruiqi Liu, Jiangzhou Wang
Then, we develop a beam domain channel model based on the proposed sub-array partition framework for large-scale RIS-enabled UAV-to-vehicle communication systems, which can be used to efficiently capture the sparse features in RIS-enabled UAV-to-vehicle channels in both near-field and far-field ranges.
no code implementations • 5 Feb 2024 • Qiaoyan Peng, Qingqing Wu, Wen Chen, Shaodan Ma, Ming-Min Zhao, Octavia A. Dobre
Towards this goal, we begin by deriving the CRB for the direction-of-arrival (DoA) estimation in closed-form and then theoretically analyze the IRS reflecting elements and sensors allocation design based on the CRB under the point target case with a single-antenna base station (BS).
no code implementations • 28 Jan 2024 • Ahmed Magbool, Vaibhav Kumar, Qingqing Wu, Marco Di Renzo, Mark F. Flanagan
To provide a comprehensive overview, we begin with fundamentals of ISAC and metasurfaces.
no code implementations • 8 Jan 2024 • Yifan Jiang, Qingqing Wu, Wen Chen, Kaitao Meng
Specifically, a weighted sum of predicted posterior Cram\'er-Rao bound (PCRB) for object relative position and velocity estimation is minimized by optimizing the UAV trajectory, where an efficient solution is obtained based on the successive convex approximation method.
no code implementations • 8 Dec 2023 • Zhaolong Ning, Hao Hu, Xiaojie Wang, Qingqing Wu, Chau Yuen, F. Richard Yu, Yan Zhang
To address the aforementioned challenges, we propose a new optimization algorithm for joint IRS-user association, trajectory optimization of UAVs, successive interference cancellation (SIC) decoding order scheduling and power allocation to maximize system energy efficiency.
no code implementations • 14 Nov 2023 • Zijian Chen, Ming-Min Zhao, Min Li, Fan Xu, Qingqing Wu, Min-Jian Zhao
Based on the estimation results from the first phase, we formulate a Cram\'{e}r-Rao bound (CRB) minimization problem for optimizing IRS reflection coefficients, and through proper reformulations, a low-complexity manifold-based optimization algorithm is proposed to solve this problem.
no code implementations • 13 Nov 2023 • Zixing Tang, Yuanbin Chen, Ying Wang, Tianqi Mao, Qingqing Wu, Marco Di Renzo, Lajos Hanzo
To tackle this challenge, we exploit the sparsity inherent in the cascaded channel.
no code implementations • 1 Nov 2023 • Kaitao Meng, Qingqing Wu, Christos Masouros, Wen Chen, Deshi Li
Integrated sensing and communication (ISAC) has attracted growing interests for sixth-generation (6G) and beyond wireless networks.
no code implementations • 3 Oct 2023 • Chuang Zhang, Geng Sun, Qingqing Wu, Jiahui Li, Shuang Liang, Dusit Niyato, Victor C. M. Leung
Unmanned aerial vehicles (UAVs) as aerial relays are practically appealing for assisting Internet of Things (IoT) network.
no code implementations • 18 Aug 2023 • Yapeng Zhao, Qingqing Wu, Guangji Chen, Wen Chen, Ruiqi Liu, Ming-Min Zhao, Yuan Wu, Shaodan Ma
Moreover, the results indicate that the DT assisted MEC system can precisely achieve the balance between local computing and task offloading since real-time system status can be obtained with the help of DT.
no code implementations • 17 Aug 2023 • Geng Sun, Long He, Zemin Sun, Qingqing Wu, Shuang Liang, Jiahui Li, Dusit Niyato, Victor C. M. Leung
Unmanned aerial vehicles (UAVs) play an increasingly important role in assisting fast-response post-disaster rescue due to their fast deployment, flexible mobility, and low cost.
no code implementations • 3 Aug 2023 • Jiahui Li, Geng Sun, Lingjie Duan, Qingqing Wu
The existing UAV-assisted data harvesting and dissemination schemes largely require UAVs to frequently fly between the IoTs and access points, resulting in extra energy and time costs.
no code implementations • 13 Jul 2023 • Ziheng Zhang, Wen Chen, Qingqing Wu, Zhendong Li, Xusheng Zhu, Jinhong Yuan
Drawing inspiration from the advantages of intelligent reflecting surfaces (IRS) in wireless networks, this paper presents a novel design for intelligent omni surface (IOS) enabled integrated sensing and communications (ISAC).
no code implementations • 4 May 2023 • Ziwei Liu, Wen Chen, Zhendong Li, Jinhong Yuan, Qingqing Wu, Kunlun Wang
In this paper, we investigated the downlink transmission problem of a cognitive radio network (CRN) equipped with a novel transmissive reconfigurable intelligent surface (TRIS) transmitter.
no code implementations • 10 Dec 2022 • Zhendong Li, Wen Chen, Ziheng Zhang, Qingqing Wu, Huanqing Cao, Jun Li
Since the coupling of optimization variables, the whole optimization problem is non-convex and cannot be solved directly.
no code implementations • 5 Sep 2022 • Yanan Ma, Ming Li, Yang Liu, Qingqing Wu, Qian Liu
Reconfigurable intelligent surface (RIS) has been deemed as one of potential components of future wireless communication systems because it can adaptively manipulate the wireless propagation environment with low-cost passive devices.
no code implementations • 1 Sep 2022 • Wenhao Cai, Ming Li, Yang Liu, Qingqing Wu, Qian Liu
Intelligent reflecting surface (IRS) has been widely considered as one of the key enabling techniques for future wireless communication networks owing to its ability of dynamically controlling the phase shift of reflected electromagnetic (EM) waves to construct a favorable propagation environment.
no code implementations • 13 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.
no code implementations • 26 Mar 2022 • Jie Zhang, Jun Li, Yijin Zhang, Qingqing Wu, Xiongwei Wu, Feng Shu, Shi Jin, Wen Chen
Intelligent reflecting surface (IRS) is envisioned to be widely applied in future wireless networks.
Multi-agent Reinforcement Learning
reinforcement-learning
+2
no code implementations • 14 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.
no code implementations • 16 Dec 2021 • Rang Liu, Ming Li, Yang Liu, Qingqing Wu, Qian Liu
Reconfigurable intelligent surface (RIS) is a promising technology for 6G networks owing to its superior ability to enhance the capacity and coverage of wireless communications by smartly creating a favorable propagation environment.
no code implementations • 11 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.
no code implementations • 23 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.
no code implementations • 5 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).
no code implementations • 17 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
no code implementations • 23 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.
no code implementations • 22 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).
no code implementations • 19 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.
no code implementations • 17 Aug 2020 • Nandana Rajatheva, Italo Atzeni, Simon Bicais, Emil Bjornson, Andre Bourdoux, Stefano Buzzi, Carmen D'Andrea, Jean-Baptiste Dore, Serhat Erkucuk, Manuel Fuentes, Ke Guan, Yuzhou Hu, Xiaojing Huang, Jari Hulkkonen, Josep Miquel Jornet, Marcos Katz, Behrooz Makki, Rickard Nilsson, Erdal Panayirci, Khaled Rabie, Nuwanthika Rajapaksha, MohammadJavad Salehi, Hadi Sarieddeen, Shahriar Shahabuddin, Tommy Svensson, Oskari Tervo, Antti Tolli, Qingqing Wu, Wen Xu
Several categories of enablers at the infrastructure, spectrum, and protocol/algorithmic levels are required to realize the intended broadband connectivity goals in 6G.
no code implementations • 29 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.
no code implementations • 26 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.
no code implementations • 6 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.
no code implementations • 3 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).
no code implementations • 21 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.
no code implementations • 27 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.
no code implementations • 14 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.