【百家大講堂】第220期:5G物聯(lián)網(wǎng)網(wǎng)絡(luò)——從大規(guī)模接入到高可靠低延時(shí)通信
來源: 發(fā)布日期:2019-06-26
【百家大講堂】第220期:5G物聯(lián)網(wǎng)網(wǎng)絡(luò)——從大規(guī)模接入到高可靠低延時(shí)通信
講座題目:5G物聯(lián)網(wǎng)網(wǎng)絡(luò)——從大規(guī)模接入到高可靠低延時(shí)通信
報(bào) 告 人:李永會(huì)
時(shí) 間:2019年7月3日下午15:00-16:30
地 點(diǎn):中關(guān)村校區(qū)信息科學(xué)實(shí)驗(yàn)樓610會(huì)議室
主辦單位:研究生院,、 信息學(xué)院
報(bào)名方式:登錄北京理工大學(xué)微信企業(yè)號---第二課堂---課程報(bào)名中選擇“【百家大講堂】第220期:5G物聯(lián)網(wǎng)網(wǎng)絡(luò)——從大規(guī)模接入到高可靠低延時(shí)通信 ”
【主講人簡介】
李永會(huì)教授于2002年11月獲博士學(xué)位并于2003年加入悉尼大學(xué)卓越通信研究中心,。他現(xiàn)在擔(dān)任悉尼大學(xué)電子信息學(xué)院教授以及無線工程實(shí)驗(yàn)室主任,。由于他本人的杰出貢獻(xiàn),,他在2008年獲得澳大利亞伊麗莎白女皇研究員專項(xiàng)基金。該基金每年澳大利亞只有50人被資助,,成功率低于10%,。并于2012年再次獲得澳大利亞未來院士專項(xiàng)基金資助。該基金在2012年通訊領(lǐng)域只有他一人獲得,。由于在協(xié)作通信方面的突出貢獻(xiàn),,李教授于2017年當(dāng)選電子電氣工程師協(xié)會(huì)會(huì)士。
Yonghui Li received his PhD degree in November 2002. Since 2003, he has been with the Centre of Excellence in Telecommunications, the University of Sydney, Australia. Li is now a Professor and Director of Wireless Engineering Laboratory in School of Electrical and Information Engineering, University of Sydney. He is the recipient of the Australian Queen Elizabeth II Fellowship in 2008 and the Australian Future Fellowship in 2012. He is an IEEE Fellow for contributions to cooperative communications technologies.
【內(nèi)容簡介】
將智能設(shè)備,、平臺(tái)和環(huán)境結(jié)合起來已成為了目前學(xué)術(shù)和工業(yè)界的重要技術(shù)研究方向,它可以實(shí)現(xiàn)重大的社會(huì)變革和經(jīng)濟(jì)增長,。將整個(gè)物理世界通過互聯(lián)網(wǎng)連接起來,,也即物聯(lián)網(wǎng),通過物體和環(huán)境間的自由交互和處理,成為了電力,,交通,,工業(yè)控制,公用事業(yè)管理,,醫(yī)療保健,,水資源管理和采礦等領(lǐng)域的固有組成部分。無線網(wǎng)絡(luò)是物聯(lián)網(wǎng)的關(guān)鍵使能技術(shù)之一,,其靈活性,,可擴(kuò)展性和成本低廉的特點(diǎn)使得它可普遍用于最后一公里連接。物聯(lián)網(wǎng)網(wǎng)絡(luò)的屬性和流量模型與傳統(tǒng)通信系統(tǒng)的屬性和流量模型本質(zhì)上不同,,傳統(tǒng)通信系統(tǒng)旨在傳輸語音,,數(shù)據(jù)和多媒體。而物聯(lián)網(wǎng)面臨著現(xiàn)有網(wǎng)絡(luò)協(xié)議無法解決的許多獨(dú)特挑戰(zhàn),,包括巨大數(shù)量的設(shè)備,,在有限帶寬的大規(guī)模網(wǎng)絡(luò)中傳輸大量突發(fā)數(shù)據(jù),以及適應(yīng)各種流量模式和服務(wù)質(zhì)量(QoS)要求的能力,。一些物聯(lián)網(wǎng)應(yīng)用具有嚴(yán)格的延遲和可靠性要求,,這是現(xiàn)有無線網(wǎng)絡(luò)所無法滿足的。應(yīng)對這些挑戰(zhàn)需要開發(fā)新的無線接入技術(shù),,底層網(wǎng)絡(luò)協(xié)議,,信號處理技術(shù)和安全協(xié)議。在本次演講中,,我將介紹物聯(lián)網(wǎng)網(wǎng)絡(luò)開發(fā),,架構(gòu),關(guān)鍵挑戰(zhàn),,要求,,潛在解決方案以及該領(lǐng)域最近的研究進(jìn)展,特別是在5G大規(guī)模接入和高可靠低延時(shí)通信中,。
Connected smart objects, platforms and environments have been identified as the next big technology development, enabling significant society changes and economic growth. The entire physical world will be connected to the Internet, referred to as Internet of Things (IoT). The intelligent IoT network for automatic interaction and processing between objects and environments will become an inherent part of areas such as electricity, transportation, industrial control, utilities management, healthcare, water resources management and mining. Wireless networks are one of the key enabling technologies of the IoT. They are likely to be universally used for last mile connectivity due to their flexibility, scalability and cost effectiveness. The attributes and traffic models of IoT networks are essentially different from those of conventional communication systems, which are designed to transmit voice, data and multimedia. IoT access networks face many unique challenges that cannot be addressed by existing network protocols; these include support for a truly massive number of devices, the transmission of huge volumes of data burst in large-scale networks over limited bandwidth, and the ability to accommodate diverse traffic patterns and quality of service (QoS) requirements. Some IoT applications have much stringent latency and reliability requirements which cannot be accommodated by existing wireless networks. Addressing these challenges requires the development of new wireless access technologies, underlying network protocols, signal processing techniques and security protocols. In this talk, I will present the IoT network development, architecture, key challenges, requirements, potential solutions and recent research progress in this area, particularly in 5G massive connectivity and uRLLC.