全双工非正交多址接入技术辅助的智慧矿山系统研究——张迪博士

时间:2019-06-24浏览:214


报告题目:Full Duplex Non-orthogonal Multiple Access for Intelligent Mining Vehicle Systems全双工非正交多址接入技术辅助的智慧矿山系统研究

报 告 人:   张迪 博士   郑州大学

时    间:   20190625日  下午3

地    点:   计算机学院 计B518

主办单位:   计算机学院

欢迎全校师生踊跃参加!


报告摘要:

By utilizing massive connected devices and automatic mining vehicles, the intelligent mining systems can ensure the safety of life and property of mining industry. Aiming at the demands of massive connected devices, even faster transmission rate, various quality of service (QoS), we classify the applications into two typical scenarios, i.e., the crowded scenario (Rayleigh channel) and the rare device scenario (Rician channel). To tackledown the ergodic capacity expression’s intractable calculations in bothscenarios, we further obtained their simplified approximateexpressions. Numerical results demonstrate the validity and effectiveness ofour analytical results. Compared to MC method, the consumedtime is greatly reduced by our derived expressions. Simulation results also demonstrated that the system capacityperformance can be enhanced by increasing the transmit NOMA power and Rician factor (Rician scenario), and the effectiveness of FD-NOMA is determinedby the FD self-interference and the channel noise. In addition,FD-NOMA can greatly reduce the system latency compared toother schemes.


智慧矿山系统通过布点大量的传感器以及自动化无人作业车系统可以极大地节省人力,保障矿产和从业人员的生命安全。针对智慧矿山设备应用的大连接高速率低时延多样性QoS需求,本研究提出划分应用场景为典型视距以及视距非视距混杂两种典型场景,并通过数学推导给出了系统遍历容量的近似闭式表达式,仿真实验表明与现有研究相比,本论文的闭式表达式具有较高的精度和较低的计算复杂度,此外,仿真实验证明了全双工非正交多址接入可以降低系统的时延;系统遍历容量随传输功率以及莱斯因子增加而增加;双工自我干扰以及信道噪声是影响系统遍历容量的决定性因素。



个人简介

Di Zhang currently is an Assistant Professor with Zhengzhou University, Zhengzhou, China; a visiting Senior Researcher with Seoul National University, Seoul, Korea; and also a Secondary Technocrats with Henan Provincial Big data Administration. He received his Ph.D. degree from Waseda University , Tokyo, Japan. Dr. Zhang has engaged inseveral international projects in wireless communications and networking co-funded by the EU FP-7, Horizon 2020, Japanese Monbushou and NICT. He is an editor of the KSII Transactions on Internet and Information Systems. He has served as the guest editor of the IEEE NETWORK, the IEEE ACCESS, the IET Intelligent Transport Systems; Chair of IEEE/CIC ICCC 2019 (workshop), IEEE ISNE 2019 (publication); TPC member of many IEEE flagship conferences, such as IEEE ICC, WCNC, VTC, CCNC, HEALTHCOM. His research interests include V2X, 5G, internet of things and e-health.


张迪,男,现任职于郑州大学信息工程学院,兼职于河南省大数据管理局,韩国首尔国立大学电子与计算机学院访问高级研究员;博士毕业于日本早稻田大学,韩国首尔国立大学电子与计算机学院访问研究员,台湾中兴大学访问研究生。担任KSII Transactions on Internet and Information Systems期刊编辑,IEEE Network,IEEE Access,IET Intelligent Transport Systems期刊客座编辑,IEEE ICC、 WCNC、 PIMRC、WCSP、CCNC、Healthcom、ICCC、ISNE等多个IEEE国际会议的主席和程序委员会和委员;曾参与欧盟FP-7框架项目“GreenICN”、欧盟H2020项目“5G!Pagoda”以及韩国国家科技委工程研究中心项目等多个国际合作课题;目前主要研究方向为:5G无线通信、智能网联汽车、非正交多址接入、远程医疗等。


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