浅谈移动通信技术的演进及发展

随着科学技术发展,移动通信也得到迅猛的发展和应用。本文论述移动通信技术的演进及发展,移动通信的诞生、第一代模拟移动通信、第二代数字移动通信、第2．5代数字移动通信、第三代宽带移动通信及第四代高速宽带移动通信所采用的技术、制式及特点。     

对移动通信系统中常见安全问题的思考

在简要概述移动通信系统的发展,选取3G移动通信为研究对象,分析了当前移动通信系统中常见的安全问题,重点从移动通信系统用户身份的保密性、移动通信系统的数据完整性、采用系统双向认证机制、移动通信系统数据保密性四个方面探讨应对移动通信系统中常见安全问题对策。     

基于移动通信的信息安全技术探讨

移动通信是现代社会中不能缺少的,移动通信在人们的生活中占据重要地位,移动通信运行中对信息安全有着较高的要求,移动通信中全面落实信息安全技术,目的是为人们提供安全的移动信息网络,避免出现信息泄露或恶意攻击的问题,保障移动通信的信息安全。文章以移动通信为研究背景,探讨基于移动通信的信息安全技术应用。     

移动通信网络优化

在当前的移动通信行业发展中,移动通信网络优化是不可忽略的重要环节。对于运营商而言,移动通信网络的优化不仅仅是衍生出来的分行业,更是发展的核心关键。文章在分析移动通信网络优化现状的基础上,探讨了移动通信网络优化的措施,希望能推动今后的移动通信网络优化发展。     

对5G移动通信发展的思考

未来5到10年,移动通信业务数据量将有数千倍的增加。目前,移动通信的主要需求来自移动互联网的发展,特别是智能终端的发展激发了移动通信数据业务量的猛增;未来将有更多类型的终端被引入到移动通信网络中,移动通信终端的数量将远远超过人口数量,数据业务将成为绝对的主流。新年来临之际,我刊特别邀请中国著名移动通信专家、东南大学移动通信国家重点实验室主任尤肖虎教授展望5G移动通信的发展趋势。     

第三代移动通信系统中业务信息以及网络资源的安全性

自1997年以来,第三代移动通信系统逐渐成为移动通信中的重点。本文通过对第三代移动通信系统中业务信息的分析,讨论在第三代移动通信系统步推广下,如何保护移动通信系统的安全性。     

5G:智能移动通信1.0

移动通信发展的下一阶段是智能化:即移动通信网络技术从蜂窝网络走向协同异构智能融合网络,移动通信无线传输技术从提高传输速率走向提高传输能力,并实现移动通信技术与智能计算、云存贮、大数据、虚拟现实等信息技术的高度结合。5G将启动标准化进程,开启移动通信智能化时代。5G是智能移动通信的1.0,移动通信智能化将持续几十年或更长。     

基于云计算的移动通信网络优化

移动通信网络的普及给人们的生活和工作带来了极大便利,特别是云计算越来越成熟,其为移动通信网络优化提供了重要的技术支持。移动通信网络在实际应用中存在很多问题,结合云计算技术特性,从多方面优化和改进移动通信网络,充分发挥移动通信网络应用优势,全面提升其综合效益。本文分析了云计算和当前移动通信网络存在的问题,阐述了基于云计算的移动通信网络优化策略。     

移动通信网络优化现状及发展策略

我国科学技术快速发展,移动通信网络技术也因此得到了很大的发展,移动通信网络技术已经深深的融入到人们的生活需求中。现在的社会是网络信息的时代,移动通信网络技术发展迅猛。现代人对于移动通信的需求不断增多,对移动通信服务的功能的要求也不断提升。过去的移动通信网络已经跟不上市场需求的变化,人们对移动通信网络有了更高的要求。现阶段,我国的移动通信网络优化技术有着明显的提升,移动通信网络也更加成熟。虽然移动通信网络受到很多人的欢迎,却也依旧存在不少问题。比如移动通信网络因为有着十分巨大的用户群体,这也会导致其通话信号可能出现不稳定的现象,如此自然会让人们的通信体验变差。为了解决这些问题,必须采取相应的措施对移动通信网络展开优化。本文对移动通信网络优化现状及发展展开分析,并提出相关解决策略。     

高校现代移动通信实训项目体系设计研究

随着移动通信技术的迅猛发展,高等学校通信工程专业的移动通信课程急需改革。文章研究了面向第三代移动通信系统的实训项目体系设计。基于学院现有的软件和硬件资源,所设计的现代移动通信方向实训项目包括:移动通信原理仿真实验,基于实验箱的移动通信技术验证实验,无线接入网实践以及无线网络规划与优化实践四大项目体系。通过这一系列的项目实践,为学生毕业后从事移动通信方向工作打下良好基础。     

第四代移动通信系统及其关键技术研究

本文介绍了第四代移动通信系统的产生背景、特点和网络架构,讨论了第四代移动通信物理层的关键技术(OFDM、MIMO等)、网络和协议,最后对未来移动通信系统的发展进行了展望.     

Sustainable Spectrum Allocation Strategy for 5G Mobile Network

These days, 5G wireless communication are being created for different modern IoT (Internet of Things) applications around the world, arising with the IoT. All things considered, it is feasible to send energy efficient innovation in a manner that advances the drawn out sustainability of networks. Next-generation heterogeneous wireless communication is composed of different base stations. In this network, sustainable spectrum allocation is required to maximize the bandwidth utilization along with a reduction in power consumption. This paper proposes an algorithm for allocating an optimized spectrum to clusters in a multi-cluster environment for sustainable 5G environment using particle swarm optimization (PSO). The proposed strategy is applicable for 3G, 4G, and 5G mobile networks. Mobile devices enter and leave the cluster randomly and stay within the cluster for an uncertain amount of time. During that period the user demands may vary. Consequently, various bandwidth allocations are required. For such cases, static allocation might result in inefficient utilization of bandwidth, wastage of power, and degrade user satisfaction. The proposed algorithm will optimize the spectrum allocated to a cluster from time to time to solve this problem and produce an optimized solution within a given deadline. PSO based proposed scalable spectrum allocation method is applicable for the different frequency range for each cluster, hence scalable from 3G telecommunication to 5G-mobile edge technology. The convergence of the strategy is analyzed. From simulation analysis, it is observed that the proposed strategy reduces power consumption by approximately 8%, 11%, and 6% in 3G, 4G, and 5G communications respectively than the existing scheme.

     

针对移动M2M业务的优化技术研究

传感器网络和移动通信网络相结合已经成为必然的趋势。但现有的3G、LTE移动通信系统的设计目标是人与人（H2H）通信,没有针对机器间（M2M）通信特点进行优化,难以适应M2M业务复杂的应用环境和海量的用户容量。文章针对移动M2M业务的优化技术进行了探讨。     

面向M2M的移动通信系统优化技术研究

传感器网络和移动通信网络相结合已经成为必然的趋势。但现有的3G,LTE移动通信系统的设计目标是人与人（H2H）通信,没有针对机器间（M2M）通信特点进行优化,难以适应M2M业务复杂的应用环境和海量的用户容量。本文对面向M2M业务的移动通信优化技术进行了探讨,同时对3GPP在M2M优化技术方面的研究工作做了简单介绍。     

移动通信系统从1G到4G的演进

第2代(2G)的数字移动通信由单纯的语音通信转移到提供语音、图像、文字等综合信息的传输,并能无线接入因特网.2G系统的传输速率难以满足人们对移动多媒体信息以及移动数据传输的需求.3G的核心网是从2G演进而来,但并不是传输TCP/IP数据包的最优结构.4G系统将是基于TCP/IP的核心网,混合OFDM和CDMA的无线接入方式,分离的接收、发射基站,基于无线ad hoc网络的结构而非蜂窝结构.     

A Survey of IoT Key Enabling and Future Technologies: 5G,Mobile IoT,Sematic Web and Applications

The Internet of Things (IoT) is the communications paradigm that can provide the potential of ultimate communication. The IoT paradigm describes communication not only human to human (H2H) but also machine to machine (M2M) without the need of human interference. In this paper, we examine, review and present the current IoT technologies starting from the physical layer to the application and data layer. Additionally, we focus on future IoT key enabling technologies like the new fifth generation (5G) networks and Semantic Web. Finally, we present main IoT application domains like smart cities, transportation, logistics, and healthcare.     

浅析第三代移动通信传输网的解决方案

本文介绍了第三代移动通信(3G)的网络结构、网络接口,对3G网络接口进行了分析,提出了建设3G传输网的3种技术方案,介绍了传输网的现状,并对建设3G传输网提出了几点建议,最后总结出目前建设3G传输网的最佳方案为采用MSTP技术组网.     

Towards machine-learning-driven effective mashup recommendations from big data in mobile networks and the Internet-of-Things

A large number of Web APIs have been released as services in mobile communications, but the service provided by a single Web API is usually limited. To enrich the services in mobile communications, developers have combined Web APIs and developed a new service, which is known as a mashup. The emergence of mashups greatly increases the number of services in mobile communications, especially in mobile networks and the Internet-of-Things (IoT), and has encouraged companies and individuals to develop even more mashups, which has led to the dramatic increase in the number of mashups. Such a trend brings with it big data, such as the massive text data from the mashups themselves and continually-generated usage data. Thus, the question of how to determine the most suitable mashups from big data has become a challenging problem. In this paper, we propose a mashup recommendation framework from big data in mobile networks and the IoT. The proposed framework is driven by machine learning techniques, including neural embedding, clustering, and matrix factorization. We employ neural embedding to learn the distributed representation of mashups and propose to use cluster analysis to learn the relationship among the mashups. We also develop a novel Joint Matrix Factorization (JMF) model to complete the mashup recommendation task, where we design a new objective function and an optimization algorithm. We then crawl through a real-world large mashup dataset and perform experiments. The experimental results demonstrate that our framework achieves high accuracy in mashup recommendation and performs better than all compared baselines.     

Mobile Edge Computing Platform with Container-Based Virtualization Technology for IoT Applications

The next generation of fifth generation (5G) network, implementing mobile edge computing (MEC), network function virtualization (NFV) and software defined networking technologies, establishes a flexible and resilient network in line with various internet of things (IoT) devices. While NFV adds flexibility scale in or out networks by allowing network functions to be dynamically deployed and inter-connected, MEC provide intelligence at the edge of a mobile network; reduces latency, and increases capacity. With the diverse development of networking applications, the proposed MEC with container-based virtualization technology (CVT) as IoT gateway with IoT devices for flow control mechanism in scheduling and analysis methods will effectively enhance the quality of service. In this work, the proposed IoT gateway will be analyzed to elucidate the combined effect of simultaneously deploying virtual network functions and MEC applications on the same network infrastructure. Low latency, high bandwidth and high agility, supporting the connection of large-scale devices, and the efficient combination of resources from network edge and cluster clouds, account for real-time network conditions, reducing the IoT applications and services to indicate that a number is the average of 30% of the latency, that could get more suitable service quality to develop such as both augmented reality and virtual reality application intelligence in coming 5G network.

     

未来移动通信系统展望和我国的发展战略

综述了未来移动通信系统的发展趋势及其在技术上所面临的桃战，在分析国内外移动通信发展现状的基础上，指出了我国移动通信领域的发展战略。未来移动通信系统更高量级数据速率的要求、数据速率的大动态变化范围、IP地址的个人化和有限的频谱资源等诸多方面的特点，要求系统有更加先进的网络、更加灵活高效的空中接口和移动终端等。世界各国已经开始了4G的研制工作。我国应该抓体时机，及时开始4G关键技术的研究，在不断发展科研力量和输出知识产权的基础上，要充分利用各种有利因素，扩大我国在移动通信领域的国际影响，以推动我国未来移动通信事业的发展。