Multi-Radio Cooperation Technology and Heterogeneous Network Convergence

The heterogeneous network convergence is the trend of future network development. However, many bottlenecks exist in the converged system such as high time delay, high energy consumption, and low data rate. Multi-Radio Cooperation (MRC) technology is specially designed to overcome these bottlenecks and to satisfy the requirements of heterogeneous network convergence. MRC can improve network capacity, reduce the energy consumption of radio devices, and decrease handover latency between heterogeneous networks by the cooperation of multiple radios, and by efficient management and feasible allocation of multi-radio resources. MRC makes real seamless heterogeneous network convergence possible.

The analysis of coverage probability,ASE and EE in heterogeneous ultra-dense networks with power control

The ultra-dense network is a promising technology to increase the network capacity in the forthcoming fifthgeneration(5G)mobile communication networks by deploying lots of low power Small Base Stations(SBSs)which overlap with Macro Base Stations(MBSs).The interference and energy consumption increase rapidly with the number of SBSs although each SBS transmits with small power.In this paper,we model a downlink heterogeneous ultra-dense network where a lot of SBSs are randomly deployed with MBSs based on the Poisson point process.We derive the coverage probability and its variance,and analyze the area spectral efficiency and energy efficiency of the network considering three Fractional Power Control(FPC)strategies.The numerical results and Monte Carlo simulation results show that power control can mitigate the interference and balance the performances of inner-user and edge-user equipments.Especially,a great improvement of energy efficiency is archived with a little loss of area spectral efficiency when FPC is adopted.Finally,we analyze the effect of base stations’(BSs’)sleeping on the performance of the network when it is partially loaded.

Key Technologies of Wireless Heterogeneous Network Security

Convergence and collaboration of heterogeneous networks in the next generation public mobile networks will be a subject of universal significance. Convergence of heterogeneous networks, as an effective approach to improve the coverage and capacity of public mobile network, to enable communication services, to provide Internet access and to enable mobile computing from everywhere, has drawn widespread attention for its good prospects in application. Construction of security system for wireless heterogeneous networks and development of new security models, key security techniques and approaches are critical and mandatory in heterogeneous networks development. Key technology of wireless heterogeneous networks security covers security routing protocol, access authentication, intrusion detection system, cooperative communication between nodes, etc.

Ultra-Dense Networking Architectures and Technologies for 5G

With the continuous enrichment of mobile communication application scenarios in the future, the traditional macro-cellular-based mobile communication network architecture will be difficult to meet the explosive growth in demand for communications services.

UAV Assisted Heterogeneous Wireless Networks:Potentials and Challenges

By fully exploiting the spatial resources, unmanned aerial vehicles （UAVs） are expected to serve as an efficient complementary to terrestrial wireless communication system to provide enhanced coverage and reliable connectivity to ground users. With the growing deployment of units such as small cell base stations （BSs）, however, the incurred severe interference may hinder the potential benefits of the integration of UAVs. In this paper, we first discuss the intrinsic features and potential benefits of UAVs and introduce the architecture of multi-layer heterogeneous wireless network （MHetNet）, in which traditional wireless network is assisted by UAVs. Then, an explicit discussion on the factors that limit the performance of MHetNet is presented, including the UAV topology, UAV density, and spectrum sharing of UAV and terrestrial networks. We use simulation results to investigate the performance of MHetNet in terms of spatial throughput （ST）. It is shown that, together with the densities of UAV and terI＇estrial networks, the altitude of UAV is a limiting factor that should be optimized to improve the ST of MHetNet.

Comparison of Vertical Handover Decision-Based Techniques in Heterogeneous Networks

Industry leaders are currently setting out standards for 5G networks projected for 2020 or even sooner. Future generation networks will be heterogeneous in nature as no single network type will be capable of optimally meeting all the rapid changes in customer demands. With the advent of multi-homed devices and heterogeneous network (HetNet) solution, great concerns arise in the processes involved for successful handover. Active calls that get dropped or cases of poor quality of service experienced by mobile users can be attributed to the phenomenon of delayed handover (HO) or an outright case of an unsuccessful handover procedure. This work compares multiple criteria handover basis to its traditional single relative signal strength (RSS) base counterpart. It analyses the performance of a fuzzy-based VHO algorithm scheme in a Wi-Fi, WiMAX, UMTS and LTE integrated network using OMNeT++ event simulator. The loose coupling network architecture is adopted and simulation results analysed for the two major categories of handover;the multiple and single criteria. Results obtained show a better overall throughput, better call dropped rate and shorter handover time for the multiple criteria based decision method as compared to the single criteria based technique. This work also highlights current research trends, challenges of seamless handover and initiatives for Next Generation HetNet.

Research on Cyberspace Mimic Defense Based on Dynamic Heterogeneous Redundancy Mechanism

With the rapid growth of network technology, the methods and types of cyber-attacks are increasing rapidly. Traditional static passive defense technologies focus on external security and known threats to the target system and cannot resist advanced persistent threats. To solve the situation that cyberspace security is easy to attack and difficult to defend, Chinese experts on cyberspace security proposed an innovative theory called mimic defense, it is an active defense technology that employs “Dynamic, Heterogeneous, Redundant” architecture to defense attacks. This article first briefly describes the classic network defense technology and Moving Target Defense (MTD). Next, it mainly explains in detail the principles of the mimic defense based on the DHR architecture and analyzes the attack surface of DHR architecture. This article also includes applications of mimic defense technology, such as mimic routers, and mimic web defense systems. Finally, it briefly summarizes the existing research on mimic defense, expounds the problems that need to be solved in mimic defense, and looks forward to the future development of mimic defense.

Load Distribution of Base Stations in User-Centric Heterogeneous UDN

In ultra-dense networks(UDN),multiple association can be regarded as a user-centric pattern in which a user can be served by multiple base stations(BSs).The data rate and quality of service can be improved.However,BSs in user-centric paradigm are required to serve more users due to this multiple association scheme.The improvement of system performance may be limited by the improving load of BSs.In this letter,we develope an analytical framework for the load distribution of BSs in heterogeneous user-centric UDN.Based on open loop power control(OLPC),a user-centric scheme is considered in which the clustered serving BSs can provide given signal to interference plus noise ratio(SINR)for any typical user.As for any BS in different tiers,by leveraging stochastic geometry,we derive the Probability Mass Function(PMF)of the number of the served users,the Cumulative Distribution Function(CDF)of total power consumption,and the CDF bounds of downlink sum data rate.The accuracy of the theoretical analysis is validated by numerical simulations,and the effect the system parameters on the load of BSs is also presented.

ChipletNP:基于芯粒的敏捷可定制网络处理器架构

5G,8K视频等新业务类型不断涌现,使得网络处理器(network processor,NP)的应用场景日趋复杂多样.为满足多样化网络应用在性能、灵活性以及服务质量保证等方面的差异化需求,传统NP试图在片上系统(system on chip,SoC)上集成大量处理器核、高速缓存、加速器等异质处理资源,提供面向多样化应用场景的敏捷可定制能力.然而,随着摩尔定律和登纳德缩放定律失效问题的逐渐凸显,单片NP芯片研制在研发周期、成本、创新迭代等方面面临巨大挑战,越来越难以为继.针对上述问题,提出新型敏捷可定制NP架构ChipletNP,基于芯粒化(Chiplet)技术解耦异质资源,在充分利用成熟芯片产品及工艺的基础上,通过多个芯粒组合,满足不同应用场景下NP的快速定制和演化发展需求.基于ChipletNP设计实现了一款集成商用CPU、FPGA(field programmable gate array)和自研敏捷交换芯粒的银河衡芯敏捷NP芯片(YHHX-NP).基于该芯片的应用部署与实验结果表明,ChipletNP可支持NP的快速敏捷定制,能够有效承载SRv6(segment routing over IPv6)等新型网络协议与网络功能部署.其中,核心的敏捷交换芯粒相较于同级商用芯片能效比提升2倍以上,延迟控制在2.82μs以内,可以有效支持面向NP的Chiplet统一通信与集成.

基于专利异构数据融合的技术演化路径识别方法

[研究目的]针对目前技术演化分析中多关注专利文本,忽略专利引文信息的问题,提出一种基于专利异构数据融合的技术演化路径识别方法。[研究方法]首先,使用Sentence-BERT模型提取专利文本语义特征;其次,使用图卷积神经网络模型将文本语义特征与引文结构特征融合,实现异构数据融合构建专利向量;最后,划分时间窗,使用k-means算法对各时间窗进行技术主题聚类,基于相邻时间窗技术主题相似度构建技术演化路径。[研究结论]以人工智能领域为例进行实证研究,共发现4条技术演化路径。与相关权威报告进行比对,结果表明识别结果与人工智能技术领域的发展现状一致,验证了模型的有效性和科学性。

考虑技术异质性的中国商业银行效率评估及动态演变

考虑银行经营的阶段性特点,将银行经营过程划分为资金筹集和资金运用两阶段,针对我国商业银行存在的技术异质性及不良贷款和结转资产的时滞效应,构建了包含四个系统的两阶段动态网络DEA模型,并测度了2012—2019年我国38家商业银行的整体效率及子阶段效率,探究异质银行在连续时期内运营效率的变化情况及其无效来源。结果显示:因技术异质性导致的银行效率的差异显著;分类别来看,城市商业银行的整体效率最高,国有银行次之,而股份制银行整体效率最低;分阶段来看,除农商行外,其他三种类型的银行资金筹集效率始终高于资金运用效率;依据两阶段内生权重可以得到提高资金运用阶段的效率是提高银行业整体效率的关键。研究结论为提升我国商业银行效率的政策制定提供一定的理论依据。

5G超密集异构网络双连接技术架构设计

双连接(Dual Connectivity,DC)技术是一种创新型技术,可以满足5G超密集异构网络(Heterogeneous Network,HetNet)日益增长的高数据速率传输需求。在5G超密集HetNet中,DC切换是对传统移动网络切换的进一步优化和发展。因此,以DC技术的一般概念为基础,设计了5G非独立接入(Non-Standalone Access,NSA)架构和独立接入(Standalone Access,SA)架构。同时,为确保5G超密集HetNet业务的连续性,避免小蜂窝之间频繁切换和乒乓效应的发生,设计了基于DC的切换程序。

面向空天地海一体化的精准定向智慧泛在服务研究综述

下一代网络具有大规模、动态性、实时性和个性化的特点,为广域空间范围内的各种网络潜在应用提供了泛在、智能、协同和高效的信息保障基础设施。从精准定向、智慧泛在应用服务的角度对空天地海一体化网络进行了全面的综述。首先,分析了空天地海一体化网络的总体愿景,包括通过空基、天基、地基和海基网络融合,按需实现各潜在应用场景的智慧泛在服务。随后,对面向智慧泛在的现有技术作了全面的调查,并讨论了当下优势与发展方向,包括异构网络一体融合技术、基于精准定向、智慧泛在的端到端质量保障技术等。最后,对空天地海一体化网络面临的一些挑战与未来的研究方向进行了讨论和展望。

拟态防御中基于ANP-BP的执行体异构性量化方法

基于动态异构冗余框架的拟态防御技术是一种主动防御技术,其利用非相似性、冗余性等特征阻断或扰乱网络攻击,以提高系统的可靠性和安全性,其中最大化执行体之间的异构性是提高拟态防御安全效益的关键。文中提出了一种基于网络层次分析法(ANP)和误差反向传播(BP)的执行体异构性量化方法,该方法通过收集和分析不同的异构性影响因素,建立一个多维度的特征矩阵,利用ANP方法综合考虑了各个维度之间的相互依赖关系,对不同维度的特征进行权重分配,同时利用BP神经网络解决ANP方法带来的主观性过强的问题。通过基于ANP-BP的异构性评估模型,能够快速准确有效地筛选出影响异构性最大的因素,为拟态防御执行体异构性评估提供科学依据和技术建议。

5G无线网络关键技术与难点研究

5G无线网络在数据传输中发挥着重要作用,对网络系统操作有着较大影响。首先,介绍了当前5G无线网络技术遭遇的难点挑战;其次,通过专业的研究与分析,对5G无线网络的关键技术进行科学设计,明确密集异构技术、滤波器组多载波(Filter Bank Multicarrier,FBMC)技术与大规模多输入多输出(Multiple-Input Multiple-Output,MIMO)技术的使用方法;最后,根据5G无线网络的操作难点,提出有效的应对方法,以提升5G无线网络的关键技术应用的科学性和安全性,增进网络传输的顺畅性。

5G移动通信技术及运用研究

现阶段,5G移动通信技术已经成为重要的通信技术,为用户提供更为快速且高效的通信服务。此项技术已经被应用于多个行业与领域之中,提升了数据的传输数据,也避免了出现通信延迟的情况,由此可见5G移动通信技术应用的优势。因此,相关技术人员对5G移动通信技术进行深入的研究与分析,明确其组成架构,并对其主要特征进行讨论、对其具体应用进行研究,以此保证发挥这项技术的最大价值和作用。

军民融合协同创新网络中知识异质性对企业技术生态位的影响研究——基于专利情报分析

[目的/意义]当前,我国军民融合技术创新正处于深度融合发展阶段,优化军民融合企业技术生态位,增强可持续创新能力至关重要。[方法/过程]以2015—2022年我国军民融合概念股上市企业获批专利为研究样本,利用STATA 16.0软件,采用固定效应回归模型,探究知识异质性对技术生态位宽度和重叠度的影响机理以及合作网络中心性的调节作用。[结果/讨论]知识异质性对军民融合企业技术生态位宽度的影响呈倒U型,而对技术生态位重叠度的影响呈U型,但不显著。当网络中心性较高时,适度的知识异质性对技术生态位宽度的作用程度更大。

Stackelberg-based dynamic incentive pricing algorithm in heterogeneous ubiquitous network

A challenge in the convergence of heterogeneous networks is how to combine the ubiquitous resources and provide the diversified individual services. This paper designs a market model for aggregating reconfiguration in heterogeneous networks based on the tradeoff between resource allocation and consumers＇ requirement. To unify the benefits of operators and consumers, a novel Stackelberg-based dynamic incentive pricing algorithm is proposed. The results of the theoretical analysis and simulation demonstrate that the proposed strategy provides incentive for cooperation by means of appropriate resource allocation, and improves the utilization of network resources, thereby effectively realizing the optimization of the whole network performance.

一种面向可信WLAN和5G异构网络的垂直切换算法

针对电力物联网中移动终端在异构网络中的垂直切换问题,传统基于信号强度的切换方法无法确保网络吞吐量、丢包率、延迟方面的最佳性能指标。为解决这一问题,提出一种基于数据驱动的电力物联网异构网络垂直切换算法。首先以长短时记忆网络(longshort-termmemory,LSTM)算法为基础,构建异构网络效能函数权重预测模型,模型训练及测试数据来自异构网络公开数据集及真实移动通信测量结果;随后效能函数权重预测模型输出异构网络效能函数权重参数,计算同一时刻各异构网络的效能值;采用排序方法选择效能值最大的网络作为切换目标网络执行网络切换。仿真结果显示,与相关算法相比,所提算法预测得到的属性权重能更好体现各网络特征对网络整体效用函数的影响,有效解决移动用户异构网络垂直切换有感问题。

一种基于异质信息网络的多维度语义融合推荐算法研究

为解决目前互联网信息过载问题,推荐系统已经广泛应用于电子商务、新闻资讯和影视音乐网站等。推荐算法目标就是挖掘用户的潜在兴趣,为他们提供个性化的信息推送,最终解决信息过载的问题,从而为用户解决该分类问题,选择合适推荐算法就显得尤为重要,同时也是解决数据挖掘领域的重要方法。但当前推荐模型缺乏对多源头异质数据的有效利用,同时在聚合语义信息的过程中存在信息损失问题。为解决上述问题,提出了一种基于异质信息网络的多维度语义融合推荐算法模型。首先,通过元路径和异质图描述推荐任务内复杂的语义结构,然后,对于元路径所引导的邻域进行划分,并通过基于多层邻域交互捕获多尺度语义信息,最后,通过在低阶、高阶维度下引导多尺度语义信息融合。实验结果表明,该方法具有较高的准确度。