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报告主题:Energy-efficient optimization for RIS-aided wireless-powered communication networks(徐勇军)



报告摘要:Wireless-powered communication and reconfigurable intelligent surface (RIS) can complement each other for increasing energy utilization and spectrum efficiency by reconfiguring the surrounding radio environment, however, which has not been sufficiently studied by the existing works. In this paper, we propose a joint radio resource and passive beamforming optimization scheme for a downlink RIS-assisted wireless-powered communication network with a harvest-then-transmit protocol to improve system energy efficiency (EE). In the considered model, the single-antenna wireless devices (WDs) harvest wireless energy from a multi-antenna dedicated power station (PS) through the RIS in the downlink and transmit their independent information to a single-antenna receiver in the uplink by a time-division-multiple-access mode. Our goal is to maximize the total EE of all WDs. To make full use of the beamforming gain provided by both the PS and the RIS, we jointly optimize the active beamforming of the PS and the passive beamforming of the RIS. To deal with the challenging non-convex optimization problem with multiple coupled variables, we first consider fixing the passive beamforming, and converting the remaining radio resource allocation problem into an equivalent convex problem which is solved by using Lagrange dual theory. Then, we fix theoptimized resource allocation parameters and optimize the passive beamforming of the RIS by using a semidefinite programming method. Simulation results demonstrate that the proposed algorithm achieves higher EE compared to the conventional schemes.

报告人简介:徐勇军,重庆邮电大学副教授/硕士生导师,入选重庆市教育委员会“重庆市巴渝学者青年学者”计划,重庆市人社局“重庆市留学归国人员创新创业项目”支持人选。2015年于吉林大学获得博士学位,2015年吉林大学优秀博士论文获得者,2016年吉林省优秀博士学位论文获得者,美国犹他州立大学访问学者,德国大陆汽车研发(重庆)有限公司网关产品软件技术带头人。IEEE高级会员,中国通信学会高级会员,中国电子学会高级会员,国内一级学术期刊《电子与信息学报》青年编委,中国通信学会人工智能技术与应用专委会秘书,重庆市石油与天然气学会理事。一直从事无线通信网络的理论与应用研究工作,以第一作者或通信作者在发表学术论文80余篇(SCI检索40余篇),6SCI一区top10SCI二区,H-index 14, 累计影响因子180以上,申请国家发明专利22项,授权6项,申请美国PCT专利1项,主持包括国家自然科学基金、重庆市自然科学基金等在内的科研项目20余项。所做的研究成果“A Survey On Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends and Challenges”发表在计算机通信领域top1刊物IEEE Communications Surveys and Tutorials上(影响因子25.249),受到网易新闻、今日头条、科教头条、中国教育等相关媒体广泛报道。同时获得川渝科协优秀学术论文二等奖,吉林省通信学会学术论文一等奖,重庆市期刊学会优秀论文一等奖。担任Physical communications, EURASIP JWCNSCI期刊编辑,担任IEEE TSP/TWC/TVT等顶级通信期刊审稿人,担任Globecom/ICC/WCNC/WCSP等国际知名会议TPC成员。





报告人简介:吕璐,西安电子科技大学华山菁英副教授,硕士研究生导师,主要从事非正交多址接入、隐蔽通信、智能超表面和物理层安全等研究工作。曾获得2021IEEEICCC最佳论文奖,2020年陕西省优秀博士学位论文,2019年“博新计划”,2018年西安电子科技大学优秀毕业生,2018-2020IEEE Transactions on Communications优秀审稿人。20162019年,先后在英国Lancaster University、加拿大University of AlbertaDalhousie University进行了访问与博士后研究工作。目前已在IEEE旗舰国际期刊和国际会议发表论文40余篇,3篇论文入选ESI高被引论文,被引用1250余次。主持国家自然科学基金,陕西省自然科学基础研究计划,中国博士后面上项目,东南大学移动通信国家重点实验室开放课题。目前担任IEEE IOT-AHSN TC NewsletterFrontiers in Computer Science编委。

报告主题:Hardware Impaired Ambient Backscatter NOMA Systems: Reliability and Security(李兴旺)



报告摘要:Non-orthogonal multiple access (NOMA) and ambient backscatter communication have been envisioned as two promising technologies for the Internet-of-things due to their high spectral efficiency and energy efficiency. Motivated by this fact, we consider an ambient backscatter NOMA system in the presence of a malicious eavesdropper. Under the realistic assumptions of residual hardware impairments (RHIs) and in-phase and quadrature-phase imbalance (IQI)., channel estimation errors (CEEs) and imperfect successive interference cancellation (ipSIC), we investigate the physical layer security (PLS) of the ambient backscatter NOMA systems with emphasis on reliability and security. In order to further improve the security of the considered system, an artificial noise scheme is proposed where the radio frequency (RF) source acts as a jammer that transmits interference signals to the legitimate receivers and eavesdropper. On this basis, the analytical expressions for the outage probability (OP) and the intercept probability (IP) are derived. To gain more insights, the asymptotic analysis and corresponding diversity orders for the OP in the high signal to noise ratio (SNR) regime are carried out, and the asymptotic behaviors of the IP in the high main-to-eavesdropper ratio (MER) region are explored as well. Finally, the correctness of the theoretical analysis is verified by the Monte Carlo simulation.

报告人简介:李兴旺,河南理工大学物理与电子信息学院副教授/硕士生导师,2015年于北京邮电大学获得博士学位。国家第五代移动通信标准化推进组织IMT-2020 (5G)大规模天线专题组成员、河南理工大学杰出青年、河南省优秀硕士论文指导老师、英国贝尔法斯特女王大学访问学者,英国曼彻斯特城市大学外聘联合博导、越南Ton Duc Thang University兼职教授、河南垂天科技有限公司研发总监,IEEE高级会员。面向新一代(B5G6G)宽带移动通信系统的新理论及技术,以第一作者或通信作者在发表学术论文50余篇(SCI检索30余篇),6SCI一区top20余篇SCI二区,H-index 20, 累计影响因子200以上,谷歌学术引用次数13982篇论文入选ESI热点论文,6篇为ESI高被引论文;申请国家发明专利30余项,授权10项;出版学术专著4部(3部中文,1部英文);参与和主持国家级、省部级项目20余项;获省部级一等奖1项,二等奖1项、三等奖1项。担任IEEE Transactions on Network Science and EngineeringComputer CommunicationsEURASIP Journal on Wireless Communications and NetworkingIET NetworksSCI期刊编委,担任IEEE-IET Intern. Symposium on CSNDSPIEEE PIMRCIEEE CAMAD 等国际会议Workshop联合主席,并作为keynote speakerIEEE 2nd International conference on Advances in Computing, Communication, Embedded and Secure Systems会议上做关于backscatter报告, 担任IEEE TSP/TWC/TVT/TCOM/JSTSP/WCL/CL等顶级通信期刊审稿人,担任Globecom/ICC/WCNC/VTC/ICCC等国内外知名会议TPC成员。


报告主题:Intelligent Radio Environment Assisted Wireless Power IoT NetworksZheng Chu



报告摘要:Recently, intelligent radio environment has been considered one of revolutionized techniques in future wireless networks, which has been extracting more and more attention in academia and industry. This presentation first introduces the concept of a passive reflection mode, namely, intelligent reflecting surface (IRS), being composed of massive passive reflecting elements/arrays. Each of them introduces a certain reflection coefficient, including amplitude and phase shift, coordinated by a smart controller, to control the radio wave of this passive reflection. Next, an IRS assisted wireless powered IoT network is discussed, where two different types of reflecting radio wave and the transmission time scheduling for WET and WIT are jointly designed to evaluate the network throughput. In addition, several multiple access schemes, i.e., TDMA, FDMA, and NOMA, are exploited with aid of the IRS. Finally, we exhibit the simulation results to confirm the benefits induced the IRS, and highlight the optimal designs of the IRS phase shifts and the transmission scheduling.

报告人简介:Dr Zheng Chu is with the Institute for Communication Systems (Home of 5G & 6G Innovation Centre), University of Surrey, Guildford, UK. since Nov. 2017. He was with the Faculty of Science and Technology, Middlesex University, London, UK. from Sept. 2016 to Oct. 2017. He received Msc and Ph.D. degrees in the School of Engineering (former the School of Electrical and Electronic Engineering), Newcastle University, U.K., in 2012 and 2016, respectively. Currently, he has authored/co-authored 80+ journal and conference papers with 2600+ citations (h-index of 26 in Google Scholar profile), including five ESI Highly Cited papers. His main research interests include Smart Radio Environments/Smart Reflecting Surface, 5G/6G communications, Internet of Things (IoT), Artificial Intelligence (AI) driven future networks, Wireless powered communication networks, Edge computing/caching, and Unmanned Aerial Vehicle (UAV).

报告主题:Dynamic Network Slicing and Resource Allocation in MEC Networks for Operator Revenue MaximizationXiaoli Chu



报告摘要:The optimization of network slicing and resource allocation for mobile edge computing (MEC) networks has attracted increasing research interest, but most existing works investigated the resource slicing, energy scheduling and power allocation from the perspective of mobile devices, without considering the MEC network operator's revenue. In this talk, we present a novel framework for network slicing in MEC networks, including the admission of slice requests and a revenue model, and study the operator's revenue escalation over time while considering traffic variations. Based on the framework, we develop an algorithm to maximize the operator's average revenue by jointly optimizing slice request admission in the long-term and resource allocation in the short-term, without requiring any prior-knowledge of traffic distributions. To reduce the computational complexity, we decouple the optimization variables for efficient algorithm design, and obtain the strategies for user association, CPU-cycle frequency, power allocation, subcarriers assignment, and dynamic slice request admission decisions. Simulation results show that the proposed algorithm can strike a flexible balance between the average revenue and the average delay, and can significantly increase the operator's revenue against existing schemes.

报告人简介:Xiaoli Chu is a Professor in the Department of Electronic and Electrical Engineering at the University of Sheffield, UK. She received the B.Eng. degree in Electronic and Information Engineering from Xi’an Jiao Tong University in 2001 and the Ph.D. degree in Electrical and Electronic Engineering from the Hong Kong University of Science and Technology in 2005. From 2005 to 2012, she was with the Centre for Telecommunications Research at King’s College London. Xiaoli has co-authored over 180 peer-reviewed journal and conference papers, including 7 ESI highly cited papers. She is a co-recipient of the IEEE Communications Society 2017 Young Author Best Paper Award. She co-authored/co-edited the books “Fog-Enabled Intelligent IoT Systems” (Springer 2020), “Ultra Dense Networks for 5G and Beyond” (Wiley 2019), “Heterogeneous Cellular Networks - Theory, Simulation and Deployment” (Cambridge University Press 2013), and “4G Femtocells: Resource Allocation and Interference Management” (Springer 2013). She is Senior Editor for the IEEE Wireless Communications Letters, Editor for the IEEE Communications Letters, and received the IEEE Communications Letters Exemplary Editor Award in 2018.