Leveraging UAV-assisted communications to improve secrecy for URLLC in 6G systems

Unmanned Aerial Vehicles(UAVs)will be essential to support mission-critical applications of Ultra Reliable Low Latency Communication(URLLC)in futuristic Sixth-Generation(6G)networks.However,several security vulnerabilities and attacks have plagued previous generations of communication systems;thus,physical layer security,especially against eavesdroppers,is vital,especially for upcoming 6G networks.In this regard,UAVs have appeared as a winning candidate to mitigate security risks.In this paper,we leverage UAVs to propose two methods.The first method utilizes a UAV as Decode-and-Forward(DF)relay,whereas the second method utilizes a UAV as a jammer to mitigate eavesdropping attacks for URLLC between transmitter and receiver devices.Moreover,we present a low-complexity algorithm that outlines the two aforementioned methods of mitigating interception,i.e.increasing secrecy rate,and we compare them with the benchmark null method in which there is a direct communication link between transmitter and receiver without the UAV DF relay.Additionally,simulation results show the effectiveness of such methods by improving the secrecy rate and its dependency on UAV height,blocklength,decoding error probability and transmitter-receiver separation distance.Lastly,we recommend the best method to enhance the secrecy rate in the presence of an eavesdropper based on our simulations.

Intelligent 6G Wireless Network with Multi-Dimensional Information Perception

Intelligence and perception are two operative technologies in 6G scenarios.The intelligent wireless network and information perception require a deep fusion of artificial intelligence(AI)and wireless communications in 6G systems.Therefore,fusion is becoming a typical feature and key challenge of 6G wireless communication systems.In this paper,we focus on the critical issues and propose three application scenarios in 6G wireless systems.Specifically,we first discuss the fusion of AI and 6G networks for the enhancement of 5G-advanced technology and future wireless communication systems.Then,we introduce the wireless AI technology architecture with 6G multidimensional information perception,which includes the physical layer technology of multi-dimensional feature information perception,full spectrum fusion technology,and intelligent wireless resource management.The discussion of key technologies for intelligent 6G wireless network networks is expected to provide a guideline for future research.

Signature-Based Intrusion Detection System in Wireless 6G IoT Networks

An“Intrusion Detection System”(IDS)is a security measure designed to perceive and be aware of unauthorized access or malicious activity on a computer system or network.Signature-based IDSs employ an attack signature database to identify intrusions.This indicates that the system can only identify known attacks and cannot identify brand-new or unidentified assaults.In Wireless 6G IoT networks,signature-based IDSs can be useful to detect a wide range of known attacks such as viruses,worms,and Trojans.However,these networks have specific requirements and constraints,such as the need for real-time detection and low-power operation.To meet these requirements,the IDS algorithm should be designed to be efficient in terms of resource usage and should include a mechanism for updating the attack signatures to keep up with evolving threats.This paper provides a solution for a signature-based intrusion detection system in wireless 6G IoT Networks,in which three different algorithms were used and implemented by using python and JavaScript programming languages and an accuracy of 98.9%is achieved.

Milestones of Wireless Communication Networks and Technology Prospect of Next Generation(6G)

Since around 1980,a new generation of wireless technology has arisen approximately every 10 years.First-generation(1G)and secondgeneration(2G)began with voice and eventually introduced more and more data in third-generation(3G)and became highly popular in the fourthgeneration(4G).To increase the data rate along with low latency and mass connectivity the fifth-generation(5G)networks are being installed from 2020.However,the 5G technology will not be able to fulfill the data demand at the end of this decade.Therefore,it is expected that 6G communication networks will rise,providing better services through the implementation of new enabling technologies and allowing users to connect everywhere.6G technology would not be confined to cellular communications networks,but would also comply with non-terrestrial communication system requirements,such as satellite communication.The ultimate objectives of this work are to address the major challenges of the evolution of cellular communication networks and to discourse the recent growth of the industry based on the key scopes of application and challenges.The main areas of research topics are summarized into(i)major 6G wireless networkmilestones;(ii)key performance indicators;(iii)future new applications;and(iv)potential fields of research,challenges,and open issues.

SLE患者外周血单个核细胞分泌白细胞介素6和IgG的研究

我们研究了21例SLE患者和正常人外周血单个核细胞(PBMC)体外培养自发和丝裂原刺激后细胞增殖、IL—6产生、IgG分泌的情况。发现SLE 患者PBMC经PHA和PWM刺激后,细胞增殖的指数降低;用IL—6细胞依赖株(MH_(60)·BSF_2)检测培养上清液中的IL—6,发现活动期SLE患者PBMC自发和PHA刺激后产生的IL—6明显高于缓解期SLE患者(P<0.001)和正常人(P<0.001);活动期和缓解期SLE患者PBMC体外自发分泌IgG量增高,分别为正常人自发分泌量的5.68倍和4.48倍;我们首次用统计学方法分析了SLE患者细胞培养上清液中的IL—6水平与分泌的IgG量的关系,发现两者有显著的相关性(r=0.7046,P<0.001)。

固定化青霉素酰化酶在光敏感可再生两水相体系中催化青霉素G为6-APA

在一种光敏感可再生高聚物（PNBC 300000）与葡聚糖20000（Dextran 20000）形成的两水相体系中进行固定化青霉素酰化酶的相转移催化青霉素G产生6-APA的反应。在这个两水相体系中,当pH为7.8,底物浓度为62 mmol/L,反应温度为20℃,在50 mmol/L KCl存在下,6-APA的分配系数可达8.4。催化动力学显示,达到平衡的时间近6 h,PG（Na）转化率约82.6%。3批半连续反应转化率为60%~70%,较相近条件下的单水相反应得率提高近20%。在两水相中,底物及产物主要分配在上相,固定化酶分配在下相,底物青霉素G进入下相经酶催化产生的6-APA及苯乙酸又转入上相,从而解除了青霉素酰化酶催化反应的底物及产物抑制作用,达到提高产物得率的效果。形成两水相的高聚物通过488 nm的激光照射可实现循环利用,高聚物的光照回收率在95%~98%。

Blockchain-enabled resource management and sharing for 6G communications

The sixth-generation(6G)network must provide better performance than previous generations to meet the requirements of emerging services and applications,such as multi-gigabit transmission rate,higher reliability,and sub-1 ms latency and ubiquitous connection for the Internet of Everything(IoE).However,with the scarcity of spectrum resources,efficient resource management and sharing are crucial to achieving all these ambitious requirements.One possible technology to achieve all this is the blockchain.Because of its inherent properties,the blockchain has recently gained an important position,which is of great significance to the 6G network and other networks.In particular,the integration of the blockchain in 6G will enable the network to monitor and manage resource utilization and sharing efficiently.Hence,in this paper,we discuss the potentials of the blockchain for resource management and sharing in 6G using multiple application scenarios,namely,Internet of things,deviceto-device communications,network slicing,and inter-domain blockchain ecosystems.

Exploring the Road to 6G: ABC-Foundation for Intelligent Mobile Networks

The 5 th generation(5 G)mobile networks has been put into services across a number of markets,which aims at providing subscribers with high bit rates,low latency,high capacity,many new services and vertical applications.Therefore the research and development on 6 G have been put on the agenda.Regarding demands and characteristics of future 6 G,artificial intelligence(A),big data(B)and cloud computing(C)will play indispensable roles in achieving the highest efficiency and the largest benefits.Interestingly,the initials of these three aspects remind us the significance of vitamin ABC to human body.In this article we specifically expound on the three elements of ABC and relationships in between.We analyze the basic characteristics of wireless big data(WBD)and the corresponding technical action in A and C,which are the high dimensional feature and spatial separation,the predictive ability,and the characteristics of knowledge.Based on the abilities of WBD,a new learning approach for wireless AI called knowledge+data-driven deep learning(KD-DL)method,and a layered computing architecture of mobile network integrating cloud/edge/terminal computing,is proposed,and their achievable efficiency is discussed.These progress will be conducive to the development of future 6 G.

MIMO-Terahertz in 6G Nano-Communications:Channel Modeling and Analysis

With the development of wireless mobile communication technology,the demand for wireless communication rate and frequency increases year by year.Existing wireless mobile communication frequency tends to be saturated,which demands for new solutions.Terahertz(THz)communication has great potential for the future mobile communications(Beyond 5G),and is also an important technique for the high data rate transmission in spatial information network.THz communication has great application prospects in military-civilian integration and coordinated development.In China,important breakthroughs have been achieved for the key techniques of THz high data rate communications,which is practically keeping up with the most advanced technological level in the world.Therefore,further intensifying efforts on the development of THz communication have the strategic importance for China in leading the development of future wireless communication techniques and the standardization process of Beyond 5G.This paper analyzes the performance of the MIMO channel in the Terahertz(THz)band and a discrete mathematical method is used to propose a novel channel model.Then,a channel capacity model is proposed by the combination of path loss and molecular absorption in the THz band based on the CSI at the receiver.Simulation results show that the integration of MIMO in the THz band gives better data rate and channel capacity as compared with a single channel.

Toward 6G Communication Networks:Terahertz Frequency Challenges and Open Research Issues

Future networks communication scenarios by the 2030s will include notable applications are three-dimensional(3D)calls,haptics communications,unmanned mobility,tele-operated driving,bio-internet of things,and the Nanointernet of things.Unlike the current scenario in which megahertz bandwidth are sufficient to drive the audio and video components of user applications,the future networks of the 2030s will require bandwidths in several gigahertzes(GHz)(from tens of gigahertz to 1 terahertz[THz])to perform optimally.Based on the current radio frequency allocation chart,it is not possible to obtain such a wide contiguous radio spectrum below 90 GHz(0.09 THz).Interestingly,these contiguous blocks of radio spectrum are readily available in the higher electromagnetic spectrum,specifically in the Terahertz(THz)frequency band.The major contribution of this study is discussing the substantial issues and key features of THz waves,which include(i)key features and significance of THz frequency;(ii)recent regulatory;(iii)the most promising applications;and(iv)possible open research issues.These research topics were deeply investigated with the aim of providing a specific,synopsis,and encompassing conclusion.Thus,this article will be as a catalyst towards exploring new frontiers for future networks of the 2030s.

Intent-based networks for 6G:Insights and challenges

Intent-Based Networks(IBNs),which are originally proposed to introduce Artificial Intelligence(AI)into the sixth-generation(6G)wireless networks,can effectively solve the challenges of traditional networks in terms of efficiency,flexibility,and security.IBNs are mainly used to transform users’business intent into network configuration,operation,and maintenance strategies,which are prominent for designing the AI-enabled 6G networks.In particular,in order to meet the massive,intelligent service demands and overcome the time-varying radio propagation,IBNs can continuously learn and adapt to the time-varying network environment based on the massive collected network data in real-time.From the aspects of both the core network and radio access network,this article comprehensively surveys the architectures and key techniques of IBNs for 6G.In particular,the demonstration platforms of IBNs,such as the Apstra Operating System,Forward Networks Verification Platform,and One Convergence Service Interaction Platform,are presented.Moreover,the industrial development of IBNs is elaborated,including the emerging new products and startups to solve the problems of open data platforms,automated network operations,and preemptive network fault diagnosis.Finally,several open issues and challenges are identified as well to spur future researches.

6G-Enabled Internet of Things:Vision,Techniques,and Open Issues

There are changes in the development of wireless technology systems every decade.6G(sixth generation)wireless networks improve on previous generations by increasing dependability,accelerating networks,increasing available bandwidth,decreasing latency,and increasing data transmission speed to standardize communication signals.The purpose of this article is to comprehend the current directions in 6G studies and their relationship to the Internet of Things(IoT).Also,this paper discusses the impacts of 6G on IoT,critical requirements and trends for 6G-enabled IoT,new service classes of 6G and IoT technologies,and current 6G-enabled IoT studies selected by the systematic literature review(SLR)method published from 2018 to 2021.In addition,we present a technical taxonomy for the classification of 6G-enabled IoT,which includes self-organization systems,energy efficiency,channel assessment,and security.Also,according to the articles reviewed,we consider the evaluation factors in this domain,including data transmission,delay,energy consumption,and bandwidth.Finally,we focus on open issues and future research challenges in 6G-enabled IoT.To mention important future challenges and directions,we can point to migration,data storage,data resource,data security,data sharing,data offloading,availability,scalability,portability,user experience,reliability,authentication,and authorization.

Intelligent Decision Making Framework for 6G Network

Sixth Generation(6G)wireless communication network has been expected to provide global coverage,enhanced spectral efficiency,and AI(Artificial Intelligence)-native intelligence,etc.To meet these requirements,the computational concept of Decision-Making of cognition intelligence,its implementation framework adapting to foreseen innovations on networks and services,and its empirical evaluations are key techniques to guarantee the generationagnostic intelligence evolution of wireless communication networks.In this paper,we propose an Intelligent Decision Making(IDM)framework,acting as the role of network brain,based on Reinforcement Learning modelling philosophy to empower autonomous intelligence evolution capability to 6G network.Besides,usage scenarios and simulation demonstrate the generality and efficiency of IDM.We hope that some of the ideas of IDM will assist the research of 6G network in a new or different light.

用液-固萃取体系从啤酒酵母粗提液中分离纯化葡糖-6-磷酸脱氢酶(英文)

在一定条件下，吐温８０的磷酸盐水溶液可分成聚合物固相和盐水相．酶、蛋白质等生物活性物质可在两相间进行分配．实验结果表明，吐温８０浓度和溶液ｐＨ的变化，以及提高盐浓度均会改变生物酶及蛋白质在两相中的分配．选择合适的条件，酶和蛋白质可获得分离，酶活力也得到纯化．研究了吐温８０浓度、盐浓度和溶液ｐＨ对啤酒酵母粗提液中葡糖－６－磷酸脱氢酶分配的影响．结果表明，选择吐温８０浓度１５％，总盐浓度３．０ｇ（Ｋ２ＨＰＯ４∶ＫＨ２ＰＯ４为５∶１），可得到好的分离结果．此时，一次纯化倍数１．７．酶活平均收得率为８９．０％．

A Joint Algorithm for Resource Allocation in D2D 5G Wireless Networks

With the rapid development of Internet technology,users have an increasing demand for data.The continuous popularization of traffic-intensive applications such as high-definition video,3D visualization,and cloud computing has promoted the rapid evolution of the communications industry.In order to cope with the huge traffic demand of today’s users,5G networks must be fast,flexible,reliable and sustainable.Based on these research backgrounds,the academic community has proposed D2D communication.The main feature of D2D communication is that it enables direct communication between devices,thereby effectively improve resource utilization and reduce the dependence on base stations,so it can effectively improve the throughput of multimedia data.One of the most considerable factor which affects the performance of D2D communication is the co-channel interference which results due to the multiplexing of multiple D2D user using the same channel resource of the cellular user.To solve this problem,this paper proposes a joint algorithm time scheduling and power control.The main idea is to effectively maximize the number of allocated resources in each scheduling period with satisfied quality of service requirements.The constraint problem is decomposed into time scheduling and power control subproblems.The power control subproblem has the characteristics of mixed-integer linear programming of NP-hard.Therefore,we proposed a gradual power control method.The time scheduling subproblem belongs to the NP-hard problem having convex-cordinality,therefore,we proposed a heuristic scheme to optimize resource allocation.Simulation results show that the proposed algorithm effectively improved the resource allocation and overcome the co-channel interference as compared with existing algorithms.

Wi-Fi 6系统在城市轨道交通无线综合承载传输体系中的潜在应用

为了满足超大规模城市轨道交通线网智能运维需求,提出构建以LTE-M(城市轨道交通车地综合通信系统)为主、Wi-Fi 6系统为辅的多频段、双制式综合承载无线传输体系。介绍了Wi-Fi 6系统的关键技术,分析了Wi-Fi 6系统在城市轨道交通无线综合承载传输体系中的应用场景。

A Review and Bibliometric Analysis of the Current Studies for the 6G Networks

The race to develop the next generation of wireless networks,known as Sixth Generation(6G)wireless,which will be operational in 2030,has already begun.To realize its full potential over the next decade,6G will undoubtedly necessitate additional improvements that integrate existing solutions with cutting-edge ones.However,the studies about 6G are mainly limited and scattered,whereas no bibliometric study covers the 6G field.Thus,this study aims to review,examine,and summarize existing studies and research activities in 6G.This study has examined the Scopus database through a bibliometric analysis of more than 1,000 papers published between 2017 and 2021.Then,we applied the bibliometric analysis methods by including(1)document type,(2)subject area,(3)author,and(4)country of publication.The study’s results reflect the research 6G community’s trends,highlight important research challenges,and elucidate potential directions for future research in this interesting area.

Reconfigurable Intelligent Surfaces for 6G:Nine Fundamental Issues and One Critical Problem

Thanks to the recent advances in metamaterials,Reconfigurable Intelligent Surface(RIS)has emergedas a promising technology for future 6G wireless communications.Benefiting from its high array gain,low cost,and low power consumption,RISs are expected to greatly enlarge signal coverage,improve system capacity,andincrease energy efficiency.In this article,we systematically overview the emerging RIS technology with the focuson its key basics,nine fundamental issues,and one critical problem.Specifically,we first explain the RIS basics,including its working principles,hardware structures,and potential benefits for communications.Based on thesebasics,nine fundamental issues of RISs,such as“What’s the differences between RISs and massive MIMO?”and“Is RIS really intelligent?”,are explicitly addressed to elaborate its technical features,distinguish it from existingtechnologies,and clarify some misunderstandings in the literature.Then,one critical problem of RISs is revealedthat,due to the“multiplicative fading”effect,existing passive RISs can hardly achieve visible performance gains inmany communication scenarios with strong direct links.To address this critical problem,a potential solution calledactive RISs is introduced,and its effectiveness is demonstrated by numerical simulations.

Simultaneously transmitting and reflecting(STAR)RISs for 6G:fundamentals,recent advances,and future directions

Simultaneously transmitting and reflecting reconfigurable intelligent surfaces(STAR-RISs)have been attracting significant attention in both academia and industry for their advantages of achieving 360°coverage and enhanced degrees-of-freedom.This article first identifies the fundamentals of STAR-RIS,by discussing the hardware models,channel models,and signal models.Then,three representative categorizing approaches for STAR-RISs are introduced from the phase-shift,directional,and energy consumption perspectives.Furthermore,the beamforming design of STAR-RISs is investigated for both independent and coupled phase-shift cases.As a recent advance,a general optimization framework,which has high compatibility and provable optimality regardless of the application scenarios,is proposed.As a further advance,several promising applications are discussed to demonstrate the potential benefits of applying STAR-RISs in sixth-generation wireless communication.Lastly,a few future directions and research opportunities are highlighted.

An intelligent wireless transmission toward 6G

With the deployment and commercial application of 5G,researchers start to think of 6G,which could meet more diversified and deeper intelligent communication requirements.In this paper,a four physical elements,i.e.,man,machine,object,and genie,featured 6G concept is introduced.Genie is explained as a new element toward 6G.This paper focuses on the genie realization as an intelligent wireless transmission toward 6G,including sematic information theory,end-to-end artificial intelligence(AI)joint transceiver design,intelligent wireless transmission block design,and user-centric intelligent access.A comprehensive state-of-the-art of each key technology is presented and main questions as well as some novel suggestions are given.Genie will work comprehensively in 6G wireless communication and other major industrial vertical,while its realization is concrete and step by step.It is realized that genie-based wireless communication link works with high intelligence and performs better than that controlled manually.