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China Communications 2022年第8期19卷 1-14页

作者： Peihao Dong Qihui Wu Xiaofei Zhang Guoru Ding The Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information TechnologyCollege of Electronic and Information EngineeringNanjing University of Aeronautics and AstronauticsNanjing 211106China College of Communications Engineering Army Engineering UniversityNanjing 210007China

Edge intelligence is anticipated to underlay the pathway to connected intelligence for 6G networks,but the organic confluence of edge computing and artificial intelligence still needs to be carefully treated.To this end,this article discusses the concepts of edge intelligence from the semantic cognitive perspective.Two instructive theoretical models for edge semantic cognitive intelligence(ESCI)are first established.Afterwards,the ESCI framework orchestrating deep learning with semantic communication is discussed.Two representative applications are present to shed light on the prospect of ESCI in 6G networks.Some open problems are finally listed to elicit the future research directions of ESCI.

关键词： edge intelligence semantic communication and cognition deep neural network semantic information theory

Resource Allocation and Trajectories Design for UAV-Assisted Jamming Cognitive UAV Networks

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China Communications 2022年第5期19卷 206-217页

作者： Zhenhui Tao Fuhui Zhou Yuhao Wang Xiaodong Liu Qihui Wu School of Information Engineering Nanchang UniversityNanchang 330031China College of Electronic and Information Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210000China Shanxi Key Laboratory of Information Communication Network and Security Xi’an University of Posts and TelecommunicationXi’an 710121China School of Electronic Information Wuhan UniversityWuhan 430072China

Unmanned aerial vehicle(UAV)communications are subject to the severe spectrum scarcity problem.Cognitive UAV networks are promising to tackle this issue while the confidential information is susceptible to be eavesdropped.A UAV jamming assisted scheme is proposed.A joint resource allocation and trajectories optimization problem is formulated in a UAV-assisted jamming cognitive UAV network subject to diverse power and trajectory constraints.An alternative optimization algorithm is proposed to solve the challenging non-convex joint optimization problem.Extensive simulation results demonstrate the superiority of our proposed scheme and many meaningful insights are obtained for the practical design of cognitive UAV networks.

关键词： cognitive radio unmanned aerial vehicles communications physical layer security cooperative jamming

Intelligent reflecting surface assisted untrusted NOMA transmissions: a secrecy perspective

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Science China(Information Sciences) 2023年第9期66卷 226-238页

作者： Dawei WANG Xuanrui LI Yixin HE Fuhui ZHOU Qihui Wu School of Electronics and Information Northwestern Polytechnical University Research & Development Institute of Northwestern Polytechnical University in Shenzhen College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Nanjing University of Aeronautics and Astronautics

In this paper, we investigate the intelligent reflecting surface(IRS) assisted secure transmissions for the untrusted non-orthogonal multiple access(NOMA) network threatened by an external eavesdropper,where the near user and two untrusted far users receive the privacy information from the transmitter assisted by the IRS’s passive reflection. To protect the privacy information against internal and external eavesdropping, we first provide a comprehensive analysis of the secrecy rates, which can offer suitable methods for separately handling the internal and external secrecy performance. Following the above results, we formulate a secrecy rate maximization problem by optimizing the transmission power allocation and phase shifts. To achieve this goal, we decouple the non-convex optimization problem into the external security problem and the internal security problem. Then, we propose a heuristic simulated annealing algorithm to iteratively solve the above problems, where the semi-definite relaxation(SDR) technique, the singular value decomposition(SVD) technique, and the Lagrange multiplier method are utilized to relax the problems and optimize the power allocation and phase shifts. Finally, numerical results show that the proposed scheme can improve the secrecy rate compared with the existing IRS-aided secure NOMA transmission schemes.

关键词： intelligent reflecting surface non-orthogonal multiple access security untrusted users

Joint Task Scheduling, Resource Allocation, and UAV Trajectory under Clustering for FANETs

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China Communications 2022年第1期19卷 104-118页

作者： Wenjing You Chao Dong Qihui Wu Yuben Qu Yulei wu Rong He The Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information TechnologyNanjing University of Aeronautics and AstronauticsNanjing 211106China AVIC Chengdu Aircraft Design and Research Institute China

This paper establishes a new layered flying ad hoc networks(FANETs) system of mobile edge computing(MEC) supported by multiple UAVs,where the first layer of user UAVs can perform tasks such as area coverage, and the second layer of MEC UAVs are deployed as flying MEC sever for user UAVs with computing-intensive tasks. In this system, we first divide the user UAVs into multiple clusters, and transmit the tasks of the cluster members(CMs) within a cluster to its cluster head(CH). Then, we need to determine whether each CH’ tasks are executed locally or offloaded to one of the MEC UAVs for remote execution(i.e., task scheduling), and how much resources should be allocated to each CH(i.e., resource allocation), as well as the trajectories of all MEC UAVs.We formulate an optimization problem with the aim of minimizing the overall energy consumption of all user UAVs, under the constraints of task completion deadline and computing resource, which is a mixed integer non-convex problem and hard to solve. We propose an iterative algorithm by applying block coordinate descent methods. To be specific, the task scheduling between CH UAVs and MEC UAVs, computing resource allocation, and MEC UAV trajectory are alternately optimized in each iteration. For the joint task scheduling and computing resource allocation subproblem and MEC UAV trajectory subproblem, we employ branch and bound method and continuous convex approximation technique to solve them,respectively. Extensive simulation results validate the superiority of our proposed approach to several benchmarks.

关键词： flying ad hoc networks(FANETs) successive convex approximation clustering mobile edge computing(MEC)

Space-Air-Ground Integrated Network with Native Intelligence(NI-SAGIN):Concept,Architecture,Access and Networking

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China Communications 2022年第1期19卷 I0002-I0007页

作者： Zhenyu Xiao Qihui Wu Jiajia Liu Ning Zhang Tao Sun the School of Electronic and Information Engineering Beihang University IET China Institute of Communications and of Electronics the Nanjing University of Aeronautics and Astronautics(NUAA) key lab of Ministry of Industry and Information Technology of China the School of Cybersecurity Northwestern Polytechnical University Shaanxi Provincial Engineering Laboratory of Cyber Security Xi’an Unmanned System Security and Intelligent Communications ISTC Center IEEE IOT-AHSN TC IEEE Communications Society1 IEEE Vehicular Technology Society1 the Department of Electrical and Computer Engineering at University of Windsor1 China Mobile Research Institute1 GPP SA21 China Mobile’s 3GPP SA and CT groups

Ubiquitous coverage is one of the most important goals for mobile communication networks.To achieve this,integration of space,air,and ground networks is highly demanded,which expects to become the one of the enabling ... 详细信息

关键词： Access networks Networking

Blockchain-Based Secure Crowdsourcing in Wireless IoT

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Journal of Communications and Information Networks 2022年第1期7卷 23-36页

作者： Daquan Feng Long Zhang Shengli Zhang Qihui Wu Xianggen Xia Guangdong Province Engineering Laboratory for Digital Creative Technology Shenzhen UniversityShenzhen 518060China National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of ChinaChengdu 611731China College of Electronic and Information Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106China Department of Electrical and Computer Engineering University of DelawareNewarkDE 19716USA

With the explosive growth of interconnected smart devices and sensors,the Internet has been entering the Internet of things(IoT)era and revolutionizing many aspects of our daily life. Meanwhile, crowdsourcing has been considered as a promising technology to realize collaborative intelligence. Therefore, more and more IoT-based crowdsourcing applications are emerged to take advantages of the widely distributed IoT devices to sense, collect, and analyze data with the aim to solve complex and nontrivial tasks. However,there exist many technical challenges to be addressed in the IoT-based crowdsourcing, such as security, privacy, and incentive provision. In this paper, we propose a blockchain-based architecture as an integrated solution to realize the secure and trustworthy crowdsourcing in wireless IoT. We first overview the challenges in the traditional crowdsourcing system. Then, we briefly introduce the background of the blockchain and smart contract, and propose a blockchain-based crowdsourcing architecture. In particular, we elaborate the utilization of smart contract on the specific phases of crowdsourcing. By deploying the smart contract instance, we confirm the proposed blockchain-based architecture is feasible.

关键词： crowdsourcing blockchain wireless IoT security privacy incentive

User Association and Power Allocation for UAV-Assisted Networks: A Distributed Reinforcement Learning Approach

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China Communications 2020年第12期17卷 110-122页

作者： Xin Guan Yang Huang Chao Dong Qihui Wu College of Electronic and Information Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China National Mobile Communications Research Laboratory Southeast UniversityNanjing 210016China

Unmanned aerial vehicles(UAVs)can be employed as aerial base stations(BSs)due to their high mobility and flexible deployment.This paper focuses on a UAV-assisted wireless network,where users can be scheduled to get access to either an aerial BS or a terrestrial BS for uplink transmission.In contrast to state-of-the-art designs focusing on the instantaneous cost of the network,this paper aims at minimizing the long-term average transmit power consumed by the users by dynamically optimizing user association and power allocation in each time slot.Such a joint user association scheduling and power allocation problem can be formulated as a Markov decision process(MDP).Unfortunately,solving such an MDP problem with the conventional relative value iteration(RVI)can suffer from the curses of dimensionality,in the presence of a large number of users.As a countermeasure,we propose a distributed RVI algorithm to reduce the dimension of the MDP problem,such that the original problem can be decoupled into multiple solvable small-scale MDP problems.Simulation results reveal that the proposed algorithm can yield lower longterm average transmit power consumption than both the conventional RVI algorithm and a baseline algorithm with myopic policies.

关键词： user association power allocation long-term average cost Markov decision process relative value iteration curse of dimensionality

Joint 3D Trajectory and Resource Optimization for A UAV Relay-Assisted Cognitive Radio Network

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China Communications 2021年第6期18卷 184-200页

作者： Zhen Wang Fuhui Zhou Yuhao Wang Qihui Wu School of Artificial Intelligence Beijing University of Posts and TelecommunicationsBeijing 100876China School of Information Engineering Nanchang UniversityNanchang 330031China Nanjing University of Aeronautics and Astronautics Nanjing211106China Shaanxi Key Laboratory of Information Communication Network and Security Xi’an University of Posts and TelecommunicationXi’an710061China

In this paper,we consider a new spectrum sharing scenario for a cognitive relay network,where a secondary unmanned aerial vehicle(UAV)relay receives information from the ground secondary base station(SBS)and transmits information to the ground secondary user(SU),coexisting with the primary users(PUs)at the same wireless frequency band.We investigate the optimization of the UAV relay’s three-dimensional(3D)trajectory to improve the communication throughput performance of the secondary network subject to the interference constraints of the PUs.The information throughput maximization problem is studied by jointly optimizing the UAV relay’s 3D trajectory and the transmit power of the SBS and the UAV,subject to the constraints on the velocity and elevation of the UAV relay,the maximum and average transmit power,and the information causality,as well as a set of interference temperature(IT)constraints.An efficient algorithm is proposed to solve the admittedly challenging non-convex problem by using the path discretization technique,the successive convex approximation technique and the alternating optimization method.Finally,simulation results are provided to show that our proposed design outperforms other benchmark schemes in terms of the throughput。

关键词： cognitive radio UAV communication 3D trajectory design mobile relaying power allocation

Outage-driven link selection for secure buffer-aided networks

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Science China(Information Sciences) 2022年第8期65卷 197-212页

作者： Dawei WANG Tianmi HE Fuhui ZHOU Julian CHENG Ruonan ZHANG Qihui Wu School of Electronics and Information Northwestern Polytechnical University College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics National Mobile Communications Research Laboratory Southeast University School of Engineering The University of British Columbia Research & Development Institute of Northwestern Polytechnical University in Shenzhen Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Nanjing University of Aeronautics and Astronautics

In this paper, we investigate secure communication in a two-hop wireless network, where multiple buffer-aided relays assist to securely forward data from the sender to the destination threatened by a passive eavesdropper. To satisfy the security and delay requirements, we propose a novel link selection policy without the instantaneous wiretap channel state information. Different from the most current link selection policies,the proposed link selection policy is designed by joint considering the link secrecy outage probability and the buffer states. To evaluate the secrecy performance, we first characterize the system state transition matrix and the stationary state probability, and then derive the closed-form expressions for the secrecy outage probability and the secrecy rate. Moreover, we formulate a framework based on the queuing theory to analyze the end-to-end information delay at the source, the relays, and the queues, and derive the closed-form expression for the information delay. Finally, we conduct simulations to validate our theoretical performance analysis, and verify the performance improvement of the proposed outage-driven secure transmission scheme in terms of secrecy outage probability and information delay.

关键词： buffer-aided relay information delay link selection secrecy outage probability

SpectrumChain: a disruptive dynamic spectrum-sharing framework for 6G

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Science China(Information Sciences) 2023年第3期66卷 26-39页

作者： Qihui Wu Wei WANG Zuguang LI Bo ZHOU Yang HUANG Xianbin WANG College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information Technology No.8511 Research Institute of CASIC Department of Electrical and Computer Engineering Western University

The sixth-generation(6G) wireless network will support ubiquitous connectivity and diversified scenarios to satisfy the requirements of various emerging applications. Full spectrum is a key enabler for6G to achieve the ambitious goal of a Tbps-scale data rate. In this paper, we first review the scenario and potential spectrum plan for 6G and then focus on SpectrumChain, a blockchain-based dynamic spectrumsharing(DSS) framework for 6G. The unique characteristics of blockchain for DSS are presented along with key technologies. Finally, the conclusion and future development trends are discussed.

关键词： dynamic spectrum sharing blockchain 6G