|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A humanized neutralizing antibody against MERS-CoV targeting the receptor-binding domain of the spike protein显示文摘最新新兴的中东呼吸症候群 coronavirus (MERS-CoV ) 能在人引起严重、致命的急性呼吸疾病。尽管有全球努力,潜力为一联系在未来流行不能被排除。有效相对的措施的发展是迫切的。MERS-CoV-specific 抗病毒的药或疫苗是还没可得到的。使用 MERS-CoV (MERS-RBD ) 的尖铁受体绑定领域使老鼠免疫,我们识别了二抵销 monoclonal 抗体(mAbs ) 4C2 和 2E6。两 mAbs potently 与高功效在 vitro 绑在 MERS-RBD 和块病毒入口。我们进一步由使在 Fab 碎片和 RBD 之间的建筑群结晶调查了他们中立化的机制,并且解决了 4C2 Fab/MERS-RBD 建筑群的结构。结构证明 4C2 认出部分重叠的 epitope 在 MERS-RBD 的受体绑定脚印,从而由位的阻碍者和接口残余竞争防碍病毒 / 受体相互作用。2E6 也堵住受体绑定,并且为绑定与 4C2 竞争到 MERS-RBD。基于结构,我们进一步由保存仅仅 paratope 残余并且从人的免疫球蛋白与对应物代替留下的氨基酸使 4C2 人性化。人性化的 4C2 (4C2h ) 抗体支撑了类似的抵销的活动和生物化学的特征到父母老鼠抗体。最后,我们证明 4C2h 能显著地在感染 MERS-CoV 的 Ad5-hCD26-transduced 鼠标的肺消除病毒 titers,因此在临床的设置为预防和治疗代表一个有希望的代理人。 | Yan Li YuhuaWan Peipei Liu Jincun Zhao Guangwen Lu Jianxun Qi Qihui Wang Xuancheng LU Ying Wu Weniun Liu Buchang Zhang Kwok-Yung Yuen Stanley Perlman George F Gao Jinghua Yan | 2015 | Cell Research2015，25，11： | 14 |
| 2 | Space-Air-Ground Integrated Network (SAGIN) for 6G: Requirements, Architecture and Challenges显示文摘As the fifth-generation(5G)mobile communication network may not meet the requirements of emerging technologies and applications,including ubiquitous coverage,industrial internet of things(IIoT),ubiquitous artificial intelligence(AI),digital twins(DT),etc.,this paper aims to explore a novel space-air-ground integrated network(SAGIN)architecture to support these new requirements for the sixth-generation(6G)mobile communication network in a flexible,low-latency and efficient manner.Specifically,we first review the evolution of the mobile communication network,followed by the application and technology requirements of 6G.Then the current 5G non-terrestrial network(NTN)architecture in supporting the new requirements is deeply analyzed.After that,we proposes a new flexible,low-latency and flat SAGIN architecture,and presents corresponding use cases.Finally,the future research directions are discussed. | Huanxi Cui Jun Zhang Yuhui Geng Zhenyu Xiao Tao Sun Ning Zhang Jiajia Liu Qihui Wu Xianbin Cao | 2022 | China Communications2022，19，2： | 11 |
| 3 | Consensus-based decentralized clustering for cooperative spectrum sensing in cognitive radio networks显示文摘A large number of previous works have demonstrated that cooperative spectrum sensing(CSS) among multiple users can greatly improve detection performance.However,when the number of secondary users(SUs;i.e.,spectrum sensors) is large,the sensing overheads(e.g.,time and energy consumption) will likely be intolerable if all SUs participate in CSS.In this paper,we proposed a fully decentralized CSS scheme based on recent advances in consensus theory and unsupervised learning technology.Relying only on iteratively information exchanges among one-hop neighbors,the SUs with potentially best detection performance form a cluster in an ad hoc manner.These SUs take charge of CSS according to an average consensus protocol and other SUs outside the cluster simply overhear the sensing outcomes.For comparison,we also provide a decentralized implementation of the existing centralized optimal soft combination(OSC) scheme.Numerical results show that the proposed scheme has detection performance comparable to that of the OSC scheme and outperforms the equal gain combination scheme and location-awareness scheme.Meanwhile,compared with the OSC scheme,the proposed scheme significantly reduces the sensing overheads and does not require a priori knowledge of the local received signal-to-noise ratio at each SU. | WU QiHui DING GuoRu WANG JinLong LI XiaoQiang HUANG YuZhen | 2012 | Chinese Science Bulletin2012，57，28： | 10 |
| 4 | Proactive optimization of transmission power and 3D trajectory in UAV-assisted relay systems with mobile ground users显示文摘In this paper,an Unmanned Aerial Vehicle(UAV)-assisted relay communication system is studied,where a UAV is served as a flying relay to maintain a communication link between a mobile source node and a remote destination node.Specifically,an average outage probability minimization problem is formulated firstly,with the constraints on the transmission power of the source node,the maximum energy consumption budget,the transmission power,the speed and acceleration of the flying UAV relay.Next,the closed-form of outage probability is derived,under the hybrid line-of-sight and non-line-of-sight probability channel model.To deal with the formulated nonconvex optimization,a long-term proactive optimization mechanism is developed.In particular,firstly,an approximation for line-of-sight probability and a reformulation of the primal problem are given,respectively.Then,the reformulated problem is transformed into two subproblems:one is the transmission power optimization with given UAV’s trajectory and the other is the trajectory optimization with given transmission power allocation.Next,two subproblems are tackled via tailoring primal–dual subgradient method and successive convex approximation,respectively.Furthermore,a proactive optimization algorithm is proposed to jointly optimize the transmission power allocation and the three-dimensional trajectory.Finally,simulation results demonstrate the performance of the proposed algorithm under various parameter configurations. | Jiangchun GU Guoru DING Yitao XU Haichao WANG Qihui WU | 2021 | Chinese Journal of Aeronautics2021，34，3： | 7 |
| 5 | Spatial-temporal spectrum hole discovery:a hybrid spectrum sensing and geolocation database framework显示文摘A hybrid spectrum sensing and geolocation database framework is proposed to tackle the discovery of spatial-temporal spectrum hole in cognitive radio networks.We first analyze the advantages and disadvantages of spectrum sensing-based and geolocation database-based approaches respectively,which motivate us to further propose a hybrid protocol framework by effectively integrating the benefits of both spectrum sensing and geolocation database.Specifically,in the proposed hybrid approach,the goal is to maximize the utilization of spatialtemporal spectrum hole while satisfying the protection constraints for the primary users.Analytical and numerical results demonstrate the superior performance of the proposed hybrid approach over the existing spectrum sensing only and geolocation database only approaches,in terms of interference-free throughput.This article serves as a fundamental framework for advancing the design of hybrid approaches for spatial-temporal spectrum hole discovery. | Jinlong Wang Guoru Ding Qihui Wu Liang Shen Fei Song | 2014 | Chinese Science Bulletin2014，59，16： | 6 |
| 6 | Social welfare maximization for SRSNs using bio-inspired communitycooperation mechanism显示文摘This paper considers social welfare maximization for spatial resource sharing networks(SRSNs),in which multiple autonomous users are spatially located and mutual influence only occurs between nearby users.To cope with a lack of central control and the restriction that only local information is available,a spatial resource sharing game is proposed.However,individual selfishness in traditional game models generally leads to inefficiency and dilemmas.Inspired by local cooperative behavior in biological sys- tems,a community cooperation mechanism(CCM)is proposed to improve the efficiency of the game.Specifically,when a user makes a decision,it maximizes the aggregate payoffs for its local community rather than selfishly consider itself.It is analytically shown that with the bio-inspired CCM,the social optimum of SRSNs is achieved with an exchange of local information.The proposed bio-inspired CCM is very general and can be applied to various communication networks. | XU YuHua WU QiHui WANG JinLong YAO YuDong | 2012 | Chinese Science Bulletin2012，57，1： | 5 |
| 7 | Frequency-Hopping Frequency Reconnaissance and Prediction for Non-cooperative Communication Network显示文摘The continuous change of communica-tion frequency brings difficulties to the reconnaissance and prediction of non-cooperative communication net-works.Since the frequency-hopping(FH)sequence is usually generated by a certain model with certain regularity,the FH frequency is thus predictable.In this paper,we investigate the FH frequency reconnais-sance and prediction of a non-cooperative communi-cation network by effective FH signal detection,time-frequency(TF)analysis,wavelet detection and fre-quency estimation.With the intercepted massive FH signal data,long short-term memory(LSTM)neural network model is constructed for FH frequency pre-diction.Simulation results show that our parameter es-timation methods could estimate frequency accurately in the presence of certain noise.Moreover,the LSTM-based scheme can effectively predict FH frequency and frequency interval. | Gao Li Wei Wang Guoru Ding Qihui Wu Zitong Liu | 2021 | China Communications2021，18，12： | 4 |
| 8 | A Game-Theoretic Perspective on Resource Management for Large-Scale UAV Communication Networks显示文摘As a result of rapid development in electronics and communication technology,large-scale unmanned aerial vehicles(UAVs)are harnessed for various promising applications in a coordinated manner.Although it poses numerous advantages,resource management among various domains in large-scale UAV communication networks is the key challenge to be solved urgently.Specifically,due to the inherent requirements and future development trend,distributed resource management is suitable.In this article,we investigate the resource management problem for large-scale UAV communication networks from game-theoretic perspective which are exactly coincident with the distributed and autonomous manner.By exploring the inherent features,the distinctive challenges are discussed.Then,we explore several gametheoretic models that not only combat the challenges but also have broad application prospects.We provide the basics of each game-theoretic model and discuss the potential applications for resource management in large-scale UAV communication networks.Specifically,mean-field game,graphical game,Stackelberg game,coalition game and potential game are included.After that,we propose two innovative case studies to highlight the feasibility of such novel game-theoretic models.Finally,we give some future research directions to shed light on future opportunities and applications. | Jiaxin Chen Ping Chen Qihui Wu Yuhua Xu Nan Qi Tao Fang | 2021 | China Communications2021，18，1： | 3 |
| 9 | Guarding Legal Communication with Smart Jammer:Stackelberg Game Based Power Control Analysis显示文摘This paper investigates a power control problem in a jamming system,where a separate smart jammer is deployed to ensure the communication security of the legal user.However,due to power leakage,the smart jammer may incur unintentional interference to legal users.The key is how to suppress illegal communication while limit the negative impact on legal user.A jamming counter measure Stackelberg game is formulated to model the jamming power control dynamic of the system.The smart jammer acts as a leader to sense and interfere illegal communications of the illegal user,while the illegal user acts as a follower.In the game,the impact of uncertain channel information is taken into account.According to whether illegal user considers the uncertain channel information,we investigate two scenarios,namely,illegal user can obtain statistical distribution and accurate information of interference channel gain and its own cost,respectively.This work not only proposes a jamming counter measure iterative algorithm to update parameters,but also gives two solutions to obtain the Stackelberg equilibrium(SE).The power convergence behaviours under two scenarios are analyzed and compared.Additionally,brute force is used to verify the accuracy of the SE value further. | Zhe Su Nan Qi Yongjie Yan Zhiyong Du Jiaxin Chen Zhibin Feng Qihui Wu | 2021 | China Communications2021，18，4： | 3 |
| 10 | Joint Task Scheduling, Resource Allocation, and UAV Trajectory under Clustering for FANETs显示文摘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. | Wenjing You Chao Dong Qihui Wu Yuben Qu Yulei Wu Rong He | 2022 | China Communications2022，19，1： | 3 |
| 11 | Routing Protocol for Heterogeneous FANETs with Mobility Prediction显示文摘In recent years,with the growth in Unmanned Aerial Vehicles(UAVs),UAV-based systems have become popular in both military and civil applications.In these scenarios,the lack of reliable communication infrastructure has motivated UAVs to establish a network as flying nodes,also known as Flying Ad Hoc Networks(FANETs).However,in FANETs,the high mobility degree of flying and terrestrial users may be responsible for constant changes in the network topology,making end-to-end connections in FANETs challenging.Mobility estimation and prediction of UAVs can address the challenge mentioned above since it can provide better routing planning and improve overall FANET performance in terms of continuous service availability.We thus develop a Software Defined Network(SDN)-based heterogeneous architecture for reliable communication in FANETs.In this architecture,we apply an Extended Kalman Filter(EKF)for accurate mobility estimation and prediction of UAVs.In particular,we formulate the routing problem in SDN-based Heterogeneous FANETs as a graph decision problem.As the problem is NP-hard,we further propose a Directional Particle Swarming Optimization(DPSO)approach to solve it.The extensive simulation results demonstrate that the proposed DPSO routing can exhibit superior performance in improving the goodput,packet delivery ratio,and delay. | Qihui Wu Min Zhang Chao Dong Yong Feng Yanli Yuan Simeng Feng Tony Q.S.Quek | 2022 | China Communications2022，19，1： | 3 |
| 12 | Joint 3D Trajectory and Resource Optimization for A UAV Relay-Assisted Cognitive Radio Network显示文摘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。 | Zhen Wang Fuhui Zhou Yuhao Wang Qihui Wu | 2021 | China Communications2021，18，6： | 2 |
| 13 | Effective capacity region of two-user opportunistic spectrum access显示文摘The effective capacity region of the two-user opportunistic spectrum access (OSA) system in Rayleigh fading environment is derived in this paper.Although OSA is a contemporary research topic,little attention has been given to the capacity analysis under quality-of-service (QoS) constraints.Hence,we use the effective capacity,which is a powerful tool to analyze the QoS requirements in wireless communication systems,to study the sustainable packet arrival rate of the secondary users while meeting statistical QoS constraints.We derive the effective capacity region of the two-user OSA system and propose a method to obtain the capacity region boundary.In addition,by combining the finite state channel model and the activity of the primary user,an extended finite state channel model for the two-user OSA system is also proposed. | XU YuHua WANG JinLong WU QiHui | 2011 | Science China(Information Sciences)2011，54，9： | 2 |
| 14 | 会计师事务所合并与审计效率显示文摘得益于政策的鼓励,中国审计市场的集中度得以在短时间内大幅提升。以收入计算,中国本土最大的会计师事务所的市场份额从2006年的13.95%提升到2012年的36.12%,中国审计市场开始了由高度分散的审计市场向更加集中的审计市场的转变。已有关于会计师事务所合并的研究非常有限,其原因在于已有审计方面的研究均用审计费用来衡量审计投入。实际上,审计费用衡量的是审计服务的价格,而不是审计服务的投入成本。 | Qihui Gong Oliver Zhen Li Yupeng Lin Liansheng Wu | 2018 | 中国注册会计师2018，，7： | 2 |
| 15 | User Association and Power Allocation for UAV-Assisted Networks: A Distributed Reinforcement Learning Approach显示文摘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. | Xin Guan Yang Huang Chao Dong Qihui Wu | 2020 | China Communications2020，17，12： | 2 |
| 16 | Space-Air-Ground Integrated Network with Native Intelligence(NI-SAGIN):Concept,Architecture,Access and Networking显示文摘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 technologies for 6G networks. | Zhenyu Xiao Qihui Wu Jiajia Liu Ning Zhang Tao Sun | 2022 | China Communications2022，19，1： | 1 |
| 17 | Resource Allocation and Trajectories Design for UAV-Assisted Jamming Cognitive UAV Networks显示文摘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. | Zhenhui Tao Fuhui Zhou Yuhao Wang Xiaodong Liu Qihui Wu | 2022 | China Communications2022，19，5： | 1 |
| 18 | Adaptive 3D Routing Protocol for Flying Ad Hoc Networks Based on Prediction-Driven Q-Learning显示文摘The routing protocols are paramount to guarantee the Quality of Service(QoS)for Flying Ad Hoc Networks(FANETs).However,they still face several challenges owing to high mobility and dynamic topology.This paper mainly focuses on the adaptive routing protocol and proposes a Three Dimensional Q-Learning(3DQ)based routing protocol to guarantee the packet delivery ratio and improve the QoS.In 3DQ routing,we propose a Q-Learning based routing decision scheme,which contains a link-state prediction module and routing decision module.The link-state prediction module allows each Unmanned Aerial Vehicle(UAV)to predict the link-state of Neighboring UAVs(NUs),considering their Three Dimensional mobility and packet arrival.Then,UAV can produce routing decisions with the help of the routing decision module considering the link-state.We evaluate the various performance of 3DQ routing,and simulation results demonstrate that 3DQ can improve packet delivery ratio,goodput and delay of baseline protocol at most 71.36%,89.32%and 83.54%in FANETs over a variety of communication scenarios. | Min Zhang Chao Dong Simeng Feng Xin Guan Huichao Chen Qihui Wu | 2022 | China Communications2022，19，5： | 1 |
| 19 | Multi-Domain Cognition for Cognitive Wireless Networks显示文摘 | DING Guoru WU Qihui WANG Jinlong ef al | 2011 | Frequenz2011，65，1112： | 1 |
| 20 | The antigenicity of SARS-CoV-2 Delta variants aggregated 10 high-frequency mutations in RBD has not changed sufficiently to replace the current vaccine strain显示文摘Emerging SARS-CoV-2 variants are the most serious problem for COVID-19 prophylaxis and treatment.To determine whether the SARS-CoV-2 vaccine strain should be updated following variant emergence like seasonal flu vaccine,the changed degree on antigenicity of SARS-CoV-2 variants and H3N2 flu vaccine strains was compared.The neutralization activities of Alpha,Beta and Gamma variants’spike protein-immunized sera were analysed against the eight current epidemic variants and 20 possible variants combining the top 10 prevalent RBD mutations based on the Delta variant,which were constructed using pseudotyped viruses.Meanwhile,the neutralization activities of convalescent sera and current inactivated and recombinant protein vaccine-elicited sera were also examined against all possible Delta variants.Eight HA protein-expressing DNAs elicited-animal sera were also tested against eight pseudotyped viruses of H3N2 flu vaccine strains from 2011–2019.Our results indicate that the antigenicity changes of possible Delta variants were mostly within four folds,whereas the antigenicity changes among different H3N2 vaccine strains were approximately 10–100-fold.Structural analysis of the antigenic characterization of the SARS-CoV-2 and H3N2 mutations supports the neutralization results.This study indicates that the antigenicity changes of the current SARS-CoV-2 may not be sufficient to require replacement of the current vaccine strain. | Jiajing Wu Jianhui Nie Li Zhang Hao Song Yimeng An Ziteng Liang Jing Yang Ruxia Ding Shuo Liu Qianqian Li Tao Li Zhimin Cui Mengyi Zhang Peng He Youchun Wang Xiaowang Qu Zhongyu Hu Qihui Wang Weijin Huang | 2022 | Signal Transduction and Targeted Therapy2022，7，2： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员