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A survey on semantic communications:Technologies,solutions,applications and challenges

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Digital Communications and Networks 2024年第3期10卷 528-545页

作者： Yating Liu Xiaojie Wang zhaolong ning MengChu Zhou Lei Guo Behrouz Jedari School of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing 400065China Baotou Vocational&Technical College Baotou 014035China School of Information and Electronic Engineering Zhejiang Gongshang UniversityHangzhou 310018China Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102USA Nokia Finland

Semantic Communication(SC)has emerged as a novel communication paradigm that provides a receiver with meaningful information extracted from the source to maximize information transmission throughput in wireless networks,beyond the theoretical capacity *** the extensive research on SC,there is a lack of comprehensive survey on technologies,solutions,applications,and challenges for *** this article,the development of SC is first reviewed and its characteristics,architecture,and advantages are ***,key technologies such as semantic extraction,semantic encoding,and semantic segmentation are discussed and their corresponding solutions in terms of efficiency,robustness,adaptability,and reliability are *** of SC to UAV communication,remote image sensing and fusion,intelligent transportation,and healthcare are also presented and their strategies are ***,some challenges and future research directions are presented to provide guidance for further research of SC.

关键词： Semantic communication Semantic coding Semantic extraction Semantic communication framework Semantic communication applications

NOMA-Based Energy-Efficient Task Scheduling in Vehicular Edge Computing Networks: A Self-Imitation Learning-Based Approach

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China Communications 2020年第11期17卷 1-11页

作者： Peiran Dong zhaolong ning Rong Ma Xiaojie Wang Xiping Hu Bin Hu School of Information Science and Engineering Lanzhou UniversityLanzhou 730000China National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096China School of Software Dalian University of TechnologyDalian 116620China School of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing 400065China

Mobile Edge Computing(MEC)is promising to alleviate the computation and storage burdens for terminals in wireless *** huge energy consumption of MEC servers challenges the establishment of smart cities and their service time powered by rechargeable *** addition,Orthogonal Multiple Access(OMA)technique cannot utilize limited spectrum resources fully and ***,Non-Orthogonal Multiple Access(NOMA)-based energy-efficient task scheduling among MEC servers for delay-constraint mobile applications is important,especially in highly-dynamic vehicular edge computing *** various movement patterns of vehicles lead to unbalanced offloading requirements and different load pressure for MEC ***-Imitation Learning(SIL)-based Deep Reinforcement Learning(DRL)has emerged as a promising machine learning technique to break through obstacles in various research fields,especially in time-varying *** this paper,we first introduce related MEC technologies in vehicular ***,we propose an energy-efficient approach for task scheduling in vehicular edge computing networks based on DRL,with the purpose of both guaranteeing the task latency requirement for multiple users and minimizing total energy consumption of MEC *** results demonstrate that the proposed algorithm outperforms other methods.

关键词： NOMA energy-efficient scheduling vehicular edge computing imitation learning

Intelligent resource allocation in mobile blockchain for privacy and security transactions: a deep reinforcement learning based approach

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Science China(Information Sciences) 2021年第6期64卷 172-187页

作者： zhaolong ning Shouming SUN Xiaojie WANG Lei GUO Guoyin WANG Xinbo GAO Ricky Y.K.KWOK School of Communication and Information Engineering Chongqing University of Posts and Telecommunications School of Software Dalian University of Technology State Key Laboratory of Industrial Control Technology Zhejiang University Chongqing Key Laboratory of Computational Intelligence Chongqing University of Posts and Telecommunications Chongqing Key Laboratory of Image Cognition Chongqing University of Posts and Telecommunications Department of Electrical and Electronic Engineering University of Hong Kong

In order to protect the privacy and data security of mobile devices during the transactions in the industrial Internet of Things(IIoT), we propose a mobile edge computing(MEC)-based mobile blockchain framework by considering the limited bandwidth and computing power of small base stations(SBSs). First,we formulate a joint bandwidth and computing resource allocation problem to maximize the long-term utility of all mobile devices, and take into account the mobility of devices as well as the blockchain throughput. We decompose the formulated problem into two subproblems to decrease the dimension of action space. Then,we propose a deep reinforcement learning additional particle swarm optimization(DRPO) algorithm to solve the two subproblems, in which a particle swarm optimization algorithm is leveraged to avoid the unnecessary search of a deep deterministic policy gradient approach. Simulation results demonstrate the effectiveness of our method from various aspects.

关键词： mobile blockchain deep reinforcement learning mobile edge computing power allocation bandwidth allocation

FOG COMPUTING ENABLED INTERNET OF EVERYTHING

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China Communications 2019年第3期16卷 I0001-I0003页

作者： zhaolong ning Lei Guo Joel Rodrigues Mohammad S.Obaidat the School of Software Dalian University of Technology Northeastern University the National Institute of Telecommunications the Instituto de Telecomunicacoes the Internet of Things Research Group CNPq the King Abdullah Ⅱ School of Information Technology University of Jordan SCS

With the rapid development of ubiquitous networks and smart cities,the connection and communication of Internet of Everything(IoE)have drawn great attention from both academia and *** main challenge for constructing IoE is to enable real-time communication and high-efficiency computing among mobile *** fog computing is promising to lower communication delay and offload network ***,how to realize fog-enabled communication and computing in IoE with high-dynamic and heterogeneous network characters has not been fully ***,deployment and reliable communications among fog nodes are also challenging.

关键词： FOG COMPUTING INTERNET OF EVERYTHING

Dynamic Cell Range Expansion-based Interference Coordination Scheme in Next Generation Wireless Networks

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China Communications 2014年第5期11卷 98-104页

作者： ning zhaolong SONG Qingyang GUO Lei DAI Mengfan YUE Minghong School of Information Science and Engineering Northeastern University Shenyang 110819 P. R. China

Deploying Picocell Base Station(PBS) throughout a Macrocell is a promising solution for capacity improvement in the next generation wireless ***,the strong received power from Macrocell Base Station(MBS) makes the areas of Picocell narrow and limits the gain of cell *** this paper,we firstly propose a Dynamic Cell Range Expansion(DCRE) *** expanding the coverage of the cell,we aim to balance the network load between MBS and ***,we present a cooperative Resource block and Power Allocation Scheme(coRPAS)based on *** objective of coRPAS is to decrease interference caused by MBS and Macrocell User Equipments,by which we can expand regions of Picocell User *** results demonstrate the superiority of our method through comparing with other existing methods.

关键词： Interference coordination heterogonous network cell range expansion.

基于多智能体元强化学习的车联网协同服务缓存和计算卸载

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通信学报 2021年第6期42卷 118-130页

作者：宁兆龙张凯源王小洁郭磊重庆邮电大学通信与信息工程学院重庆400065 大连理工大学软件学院辽宁大连116620

为了降低求解优化问题的难度,提出一种双层的多路侧单元(RSU)协同缓存框架将问题进行解耦。外层采用多智能体元强化学习方法,在每个本地智能体进行决策学习的同时,采用长短期记忆网络作为元智能体来平衡本地决策并加速学习过程,从而得... 详细信息

为了降低求解优化问题的难度,提出一种双层的多路侧单元(RSU)协同缓存框架将问题进行解耦。外层采用多智能体元强化学习方法,在每个本地智能体进行决策学习的同时,采用长短期记忆网络作为元智能体来平衡本地决策并加速学习过程,从而得到最优的RSU缓存策略;内层采用拉格朗日乘子法求解最佳协同卸载策略,实现RSU间的任务分配。基于杭州真实交通数据的实验表明,所提方法具有理想的能效性能,并且能够在大规模任务流下保持网络稳健性。

关键词：车联网边缘服务缓存协同卸载元强化学习

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一种基于软件定义的弹性网络资源分配方案

重庆理工大学学报（自然科学） 2017年第7期31卷 145-150,168页

作者：王威华王小洁冷泳林宁兆龙兰州大学经济学院兰州730107 大连理工大学软件学院辽宁大连116620

介绍了一种在SDN架构下的新型网络资源分配机制。传统的网络结构在资源分配的过程中存在诸多缺点,导致网络性能不够稳定,拥塞控制比较被动,严重影响用户体验。提出一种综合考虑影响资源分配一切因素、系数优先的弹性网络资源分配算法,... 详细信息

介绍了一种在SDN架构下的新型网络资源分配机制。传统的网络结构在资源分配的过程中存在诸多缺点,导致网络性能不够稳定,拥塞控制比较被动,严重影响用户体验。提出一种综合考虑影响资源分配一切因素、系数优先的弹性网络资源分配算法,通过划定优先级来决定资源分配的方式。本算法基于SDN架构,可以显著改善传统网络资源分配的不足。介绍了SDN体系的背景和发展以及针对无线网络的SDN扩展,提出系数优先的弹性网络资源分配算法,从各个细节描述和分析本算法的思路和实现过程。通过仿真实验对本算法的性能进行评测,说明本算法的优越性。

关键词：软件定义网络技术资源分配算法优先级拥塞控制

大豆GmNAC73-like基因的克隆和表达及其对GmIFS2基因的影响

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植物资源与环境学报 2016年第3期25卷 12-18,27页

作者：万群刘晓庆张大勇何晓兰徐照龙宁丽华黄益洪邵宏波江苏省农业科学院农业生物技术研究所江苏省农业生物学重点实验室江苏南京210014

为研究NAC转录因子对大豆〔Glycine max(Linn.)Merr.〕异黄酮合成的影响,根据大豆基因组序列设计引物,从豆荚中克隆获得Gm NAC73-like基因,并对该基因序列进行生物信息学分析。结果显示:Gm NAC73-like基因包含1个长度981 bp的完整开放... 详细信息

为研究NAC转录因子对大豆〔Glycine max(Linn.)Merr.〕异黄酮合成的影响,根据大豆基因组序列设计引物,从豆荚中克隆获得Gm NAC73-like基因,并对该基因序列进行生物信息学分析。结果显示:Gm NAC73-like基因包含1个长度981 bp的完整开放阅读框,编码326个氨基酸。Gm NAC73-like蛋白的理论相对分子质量37 000,理论等电点p I 6.4,为亲水性蛋白,无信号肽,并被定位在细胞核上,包含核定位信号"PKRRK"。同源性比对结果显示:Gm NAC73-like蛋白与野大豆(Glycine soja *** Zucc.)、蒺藜苜蓿(Medicago truncatula Gaertn.)、可可(Theobroma cacao Linn.)、葡萄(Vitis vinifera Linn.)及拟南芥〔Arabidopsis thaliana(Linn.)Heynh.〕的NAC蛋白具有较高的相似性,相似度分别为93%、69%、73%、75%和58%。在NJ系统树上,Gm NAC73-like蛋白与野大豆的Gs NAC8蛋白和木豆〔Cajanus cajan(Linn.)Millsp.〕的Cc NAC8蛋白聚在一起,显示出较近的亲缘关系。半定量RT-PCR分析结果显示:在大豆的三叶期、开花期和结荚期,Gm NAC73-like基因在根中均不表达,在茎和叶中可不同程度表达且茎中表达量较高;而在开花期或结荚期,该基因在花或豆荚中也可表达,且豆荚中表达量较高。酵母单杂交实验结果显示:Gm NAC73-like可与异黄酮生物合成关键酶基因Gm IFS2启动子中的CGTG基序结合;在大豆转基因发状根系中过表达Gm NAC73-like基因后,除查尔酮异构酶基因的表达量无变化外,其他异黄酮生物合成相关基因的表达量均不同程度提高,其中,肉桂酸-4-羟化酶基因和查尔酮合酶基因的表达量明显提高。此外,在Gm NAC73-like基因过表达的大豆转基因发状根系中总异黄酮含量显著降低。综合分析结果表明:Gm NAC73-like可能通过与MYB转录因子的互作调控Gm IFS2基因的表达,并在大豆异黄酮的生物合成过程中起负调控作用。

关键词：大豆 GmNAC73-like基因蛋白特性表达特性 GmIFS2基因总异黄酮含量

Cloning and expression analysis of mitochondrial calcium uniporter MCU in Soybean

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Cloning and expression analysis of mitochondrial calcium uni...