A consensus has been reached that 5G network slicing technology is becoming increasingly important in EMBB,MMTC and URLLC.However,this technology still has a long way to go in education industry.By selecting four type...A consensus has been reached that 5G network slicing technology is becoming increasingly important in EMBB,MMTC and URLLC.However,this technology still has a long way to go in education industry.By selecting four types of demands in campus MMTC scenarios as specific application references,this research explores the architectural relationship between network slicing layer,intelligent terminal layer and application capability layer.Besides,emphasis has been put on the influences that virtual logic network design technology,isolation technology and standard technology has on application experiences.Under such goal,a two-dimensional route has been proposed to deploy network slicing technology based on the concept of full life cycle and the synergistic effect that AI algorithms has on slicing technology.This research is expected to nurture slicing technology,not only its technology chain,but more importantly,facilitate its value chain and large-scale vertical industry applications.展开更多
As a complement of terrestrial networks,non-terrestrial networks(NTN)have ad⁃vantages of wide-area coverage and service continuity.The NTN is potential to play an impor⁃tant role in the 5G new radio(NR)and beyond.To e...As a complement of terrestrial networks,non-terrestrial networks(NTN)have ad⁃vantages of wide-area coverage and service continuity.The NTN is potential to play an impor⁃tant role in the 5G new radio(NR)and beyond.To enable the massive machine type communi⁃cations(mMTC),the low earth orbit(LEO)satellite is preferred due to its lower transmission delay and path loss.However,the LEO satellite may generate notable Doppler shifts to de⁃grade the system performance.Recently,orthogonal time frequency space(OTFS)modulation has been proposed.It provides the opportunity to allocate delay Doppler(DD)domain resourc⁃es,which is promising for mitigating the effect of high mobility.Besides,as the LEO satellite constellation systems such as Starlink are thriving,the space spectrum resources have become increasingly scarce.Therefore,non-orthogonal multiple access(NOMA)is considered as a candidate technology to realize mMTC with limited spectrum resources.In this paper,the ap⁃plication of OTFS enabled NOMA for mMTC over the LEO satellite is investigated.The LEO satellite based mMTC system and the OTFS-NOMA schemes are described.Subsequently,the challenges of applying OTFS and NOMA into LEO satellite mMTC systems are discussed.Fi⁃nally,the potential technologies for the systems are investigated.展开更多
为优化对具有不同流量特征的海量机器类通信(mMTC,massive machine type communication)业务的支持,5G网络将并存两种随机接入机制:基于报文的随机接入(PBRA,packet-based random access)机制和基于连接的随机接入(CBRA,connection-base...为优化对具有不同流量特征的海量机器类通信(mMTC,massive machine type communication)业务的支持,5G网络将并存两种随机接入机制:基于报文的随机接入(PBRA,packet-based random access)机制和基于连接的随机接入(CBRA,connection-based random access)机制。然而,面向mMTC业务流量特征的随机接入机制选择问题,却尚未得到解决。为此,本文将分析PBRA机制和CBRA机制下的网络吞吐量和信令开销,解决在信令开销受限的条件下,吞吐量最大化的优化问题。以此为基础,得到了最优随机接入机制选择策略和相应的网络参数配置方案,并通过仿真进行验证。展开更多
The emergence of various commercial and industrial Internet of Things(IoT)devices has brought great convenience to people’s life and production.Both low-power,massively connected mMTC devices(MDs)and highly reliable,...The emergence of various commercial and industrial Internet of Things(IoT)devices has brought great convenience to people’s life and production.Both low-power,massively connected mMTC devices(MDs)and highly reliable,low-latency URLLC devices(UDs)play an important role in different application scenarios.However,when dense MDs and UDs periodically initiate random access(RA)to connect the base station and send data,due to the limited preamble resources,preamble collisions are likely to occur,resulting in device access failure and data transmission delay.At the same time,due to the highreliability demands of UDs,which require smooth access and fast data transmission,it is necessary to reduce the failure rate of their RA process.To this end,we propose an intelligent preamble allocation scheme,which uses hierarchical reinforcement learning to partition the UD exclusive preamble resource pool at the base station side and perform preamble selection within each RA slot at the device side.In particular,considering the limited processing capacity and energy of IoT devices,we adopt the lightweight Qlearning algorithm on the device side and design simple states and actions for them.Experimental results show that the proposed intelligent scheme can significantly reduce the transmission failure rate of UDs and improve the overall access success rate of devices.展开更多
在5G大连接物联网场景下,针对大连接物联网设备(massive machine type communication device,mMTCD)的接入拥塞现象,提出了基于价值差异探索的双重深度Q网络(double deep Q network with value-difference based exploration,VDBE-DDQN...在5G大连接物联网场景下,针对大连接物联网设备(massive machine type communication device,mMTCD)的接入拥塞现象,提出了基于价值差异探索的双重深度Q网络(double deep Q network with value-difference based exploration,VDBE-DDQN)算法。该算法着重解决了在多小区网络环境下mMTCD接入基站的问题,并将该深度强化算法的状态转移过程建模为马尔可夫决策过程。该算法使用双重深度Q网络来拟合目标状态—动作值函数,并采用基于价值差异的探索策略,可以同时利用当前条件和预期的未来需求来应对环境变化,每个mMTCD根据当前值函数与网络估计的下一时刻值函数的差异来更新探索概率,而不是使用统一的标准,从而为mMTCD选择最佳基站。仿真结果表明,所提算法可有效提高系统的接入成功率。展开更多
文章研究了一种基于容量最大化的大规模机器类通信(massive Machine Type of Communications,mMTC)场景的资源分配算法。以LTE单蜂窝小区为背景,考虑LTE蜂窝用户设备与mMTC设备共存的环境,建立了mMTC场景的两层网络模型,引入mMTC网关(ma...文章研究了一种基于容量最大化的大规模机器类通信(massive Machine Type of Communications,mMTC)场景的资源分配算法。以LTE单蜂窝小区为背景,考虑LTE蜂窝用户设备与mMTC设备共存的环境,建立了mMTC场景的两层网络模型,引入mMTC网关(massive Machine Type of Communications Gateway,mMTCG),分析了mMTC场景中mMTCG的发射功率控制策略。在此基础上,以最大化系统容量为目标,使用粒子群优化算法,研究了mMTC场景下带宽与功率资源分配问题。仿真结果表明,文章的算法可以提高系统的容量,功率控制更加符合mMTC场景特点。展开更多
载波序号调制(Orthogonal frequency division multiplexing with index modulation,OFDM-IM)是最近提出来的一种传统多载波传输OFDM的一种改进。OFDM-IM通过将序号调制技术引入的传统OFDM中,可有效提高无线通信系统的能量效率和频谱效...载波序号调制(Orthogonal frequency division multiplexing with index modulation,OFDM-IM)是最近提出来的一种传统多载波传输OFDM的一种改进。OFDM-IM通过将序号调制技术引入的传统OFDM中,可有效提高无线通信系统的能量效率和频谱效率,并获得更优的误比特性能。本文提出一种用于OFDM-IM的低复杂度自适应树形译码搜索接收机算法,通过充分挖掘信道状态信息来调节树形搜索中有效路径的数量,可获得比传统树形搜索更优的误比特性能。蒙特卡罗仿真证明了本文提出的自适应树形搜索算法在线性复杂度下可以获得接近最优的最大似然概率接收机的误比特性能。展开更多
5G以其高速率、低时延、大连接等优势特性为物联网发展注入新动力。首先分析5G推动物联网发展的关键驱动因素,包括数字化变革、技术融合发展等。其次重点探讨5G在增强移动宽带(Enhanced Mobile Broadband,eMBB)、超高可靠低时延通信(Ult...5G以其高速率、低时延、大连接等优势特性为物联网发展注入新动力。首先分析5G推动物联网发展的关键驱动因素,包括数字化变革、技术融合发展等。其次重点探讨5G在增强移动宽带(Enhanced Mobile Broadband,eMBB)、超高可靠低时延通信(Ultra-Reliable Low-Latency Communication,uRLLC)、海量机器类通信(Massive Machine Type of Communication,mMTC)物联网场景中的应用前景。最后梳理5G在物联网环境下的关键技术支撑体系,涵盖多层级专网设计、服务质量(Quality of Service,QoS)管控、业务组网与分流优化、专网行业定制化等方面。期望能为把握5G物联网发展趋势,推进产业数字化智能化转型提供参考,助力经济社会各领域实现全方位的创新发展。展开更多
基金a grant from the 2020 joint annual project of the Ministry of Education of China and China Mobile:“Research on Educational Experiments with AI”(No.MCM20200404)。
文摘A consensus has been reached that 5G network slicing technology is becoming increasingly important in EMBB,MMTC and URLLC.However,this technology still has a long way to go in education industry.By selecting four types of demands in campus MMTC scenarios as specific application references,this research explores the architectural relationship between network slicing layer,intelligent terminal layer and application capability layer.Besides,emphasis has been put on the influences that virtual logic network design technology,isolation technology and standard technology has on application experiences.Under such goal,a two-dimensional route has been proposed to deploy network slicing technology based on the concept of full life cycle and the synergistic effect that AI algorithms has on slicing technology.This research is expected to nurture slicing technology,not only its technology chain,but more importantly,facilitate its value chain and large-scale vertical industry applications.
基金supported by the Fundamental Research Funds for the Cen⁃tral Universities under Grant Nos.2021YJS202,2020JBZD005 and 2021RC205the National Key Research and Development Program under Grant Nos.2016YFE0200900 and 2016YFB1200102-04,NSFC under Grant Nos 61725101 and U1834210+6 种基金the Royal Society Newton Advanced Fellow⁃ship under Grant Nos.61961130391 and NA191006Beijing Natural Haidian Joint Fund under Grant No.L172020Major Projects of Beijing Municipal Science and Technology Commission under Grant No.Z181100003218010State Key Lab of Rail Traffic Control and Safety under Grant Nos.RCS2021ZQ002,RCS2018ZZ007 and RCS2020ZT010Teaching Reform Project under Grant No.134496522the Open Research Fund from Shen⁃zhen Research Institute of Big Data under Grant No.2019ORF01006the PCL Future Greater-Bay Area Network Facilities for Large-scale Exper⁃iments and Applications Project under Grant No.LZ0019.
文摘As a complement of terrestrial networks,non-terrestrial networks(NTN)have ad⁃vantages of wide-area coverage and service continuity.The NTN is potential to play an impor⁃tant role in the 5G new radio(NR)and beyond.To enable the massive machine type communi⁃cations(mMTC),the low earth orbit(LEO)satellite is preferred due to its lower transmission delay and path loss.However,the LEO satellite may generate notable Doppler shifts to de⁃grade the system performance.Recently,orthogonal time frequency space(OTFS)modulation has been proposed.It provides the opportunity to allocate delay Doppler(DD)domain resourc⁃es,which is promising for mitigating the effect of high mobility.Besides,as the LEO satellite constellation systems such as Starlink are thriving,the space spectrum resources have become increasingly scarce.Therefore,non-orthogonal multiple access(NOMA)is considered as a candidate technology to realize mMTC with limited spectrum resources.In this paper,the ap⁃plication of OTFS enabled NOMA for mMTC over the LEO satellite is investigated.The LEO satellite based mMTC system and the OTFS-NOMA schemes are described.Subsequently,the challenges of applying OTFS and NOMA into LEO satellite mMTC systems are discussed.Fi⁃nally,the potential technologies for the systems are investigated.
文摘为优化对具有不同流量特征的海量机器类通信(mMTC,massive machine type communication)业务的支持,5G网络将并存两种随机接入机制:基于报文的随机接入(PBRA,packet-based random access)机制和基于连接的随机接入(CBRA,connection-based random access)机制。然而,面向mMTC业务流量特征的随机接入机制选择问题,却尚未得到解决。为此,本文将分析PBRA机制和CBRA机制下的网络吞吐量和信令开销,解决在信令开销受限的条件下,吞吐量最大化的优化问题。以此为基础,得到了最优随机接入机制选择策略和相应的网络参数配置方案,并通过仿真进行验证。
基金supported by National Key R&D Program of China (2022YFB3104200)in part by National Natural Science Foundation of China (62202386)+3 种基金in part by Basic Research Programs of Taicang (TC2021JC31)in part by Fundamental Research Funds for the Central Universities (D5000210817)in part by Xi’an Unmanned System Security and Intelligent Communications ISTC Centerin part by Special Funds for Central Universities Construction of World-Class Universities (Disciplines) and Special Development Guidance (0639022GH0202237 and 0639022SH0201237)
文摘The emergence of various commercial and industrial Internet of Things(IoT)devices has brought great convenience to people’s life and production.Both low-power,massively connected mMTC devices(MDs)and highly reliable,low-latency URLLC devices(UDs)play an important role in different application scenarios.However,when dense MDs and UDs periodically initiate random access(RA)to connect the base station and send data,due to the limited preamble resources,preamble collisions are likely to occur,resulting in device access failure and data transmission delay.At the same time,due to the highreliability demands of UDs,which require smooth access and fast data transmission,it is necessary to reduce the failure rate of their RA process.To this end,we propose an intelligent preamble allocation scheme,which uses hierarchical reinforcement learning to partition the UD exclusive preamble resource pool at the base station side and perform preamble selection within each RA slot at the device side.In particular,considering the limited processing capacity and energy of IoT devices,we adopt the lightweight Qlearning algorithm on the device side and design simple states and actions for them.Experimental results show that the proposed intelligent scheme can significantly reduce the transmission failure rate of UDs and improve the overall access success rate of devices.
文摘在5G大连接物联网场景下,针对大连接物联网设备(massive machine type communication device,mMTCD)的接入拥塞现象,提出了基于价值差异探索的双重深度Q网络(double deep Q network with value-difference based exploration,VDBE-DDQN)算法。该算法着重解决了在多小区网络环境下mMTCD接入基站的问题,并将该深度强化算法的状态转移过程建模为马尔可夫决策过程。该算法使用双重深度Q网络来拟合目标状态—动作值函数,并采用基于价值差异的探索策略,可以同时利用当前条件和预期的未来需求来应对环境变化,每个mMTCD根据当前值函数与网络估计的下一时刻值函数的差异来更新探索概率,而不是使用统一的标准,从而为mMTCD选择最佳基站。仿真结果表明,所提算法可有效提高系统的接入成功率。
文摘文章研究了一种基于容量最大化的大规模机器类通信(massive Machine Type of Communications,mMTC)场景的资源分配算法。以LTE单蜂窝小区为背景,考虑LTE蜂窝用户设备与mMTC设备共存的环境,建立了mMTC场景的两层网络模型,引入mMTC网关(massive Machine Type of Communications Gateway,mMTCG),分析了mMTC场景中mMTCG的发射功率控制策略。在此基础上,以最大化系统容量为目标,使用粒子群优化算法,研究了mMTC场景下带宽与功率资源分配问题。仿真结果表明,文章的算法可以提高系统的容量,功率控制更加符合mMTC场景特点。
文摘载波序号调制(Orthogonal frequency division multiplexing with index modulation,OFDM-IM)是最近提出来的一种传统多载波传输OFDM的一种改进。OFDM-IM通过将序号调制技术引入的传统OFDM中,可有效提高无线通信系统的能量效率和频谱效率,并获得更优的误比特性能。本文提出一种用于OFDM-IM的低复杂度自适应树形译码搜索接收机算法,通过充分挖掘信道状态信息来调节树形搜索中有效路径的数量,可获得比传统树形搜索更优的误比特性能。蒙特卡罗仿真证明了本文提出的自适应树形搜索算法在线性复杂度下可以获得接近最优的最大似然概率接收机的误比特性能。
文摘5G以其高速率、低时延、大连接等优势特性为物联网发展注入新动力。首先分析5G推动物联网发展的关键驱动因素,包括数字化变革、技术融合发展等。其次重点探讨5G在增强移动宽带(Enhanced Mobile Broadband,eMBB)、超高可靠低时延通信(Ultra-Reliable Low-Latency Communication,uRLLC)、海量机器类通信(Massive Machine Type of Communication,mMTC)物联网场景中的应用前景。最后梳理5G在物联网环境下的关键技术支撑体系,涵盖多层级专网设计、服务质量(Quality of Service,QoS)管控、业务组网与分流优化、专网行业定制化等方面。期望能为把握5G物联网发展趋势,推进产业数字化智能化转型提供参考,助力经济社会各领域实现全方位的创新发展。
