开放平台下移动互联网终端设计方案的实现探究

随着移动互联网的快速发展,全球移动互联网用户超过了十亿,中国移动互联网用户正面临着井喷式增长,互联网行业进入了快速发展期。随着移动互联网应用范围不断扩大,已经成为了通信、娱乐、媒体、互联网等众多产业融合的焦点,宽带无线通信、互联网技术、移动通信技术在移动互联网业务中获得了极大的应用。移动互联网在发展趋势中,呈现出了技术多样化趋势。研究开放平台下移动互联网终端设计方案,对我国加强移动互联网终端研发能力、实际应用能力及标准化服务,推动移动通信进步,提高移动互联网业务具有极为重要的作用。     

移动互联网技术的应用

移动互联网是当前非常热门的互联网技术之一,随着移动互联网的发展和成熟,越来越多的移动应用在移动互联网的基础上得到了充分的实现和发挥,以手机为代表的移动互联网平台是移动互联网得以成为现实的主要途径,本文您主要对移动互联网技术的应用进行探讨。     

浅谈手机与移动互联网技术的影响

移动互联网是当前非常热门的互联网技术之一,随着移动互联网的发展和成熟,越来越多的移动应用在移动互联网的基础上得到了充分的实现和发挥,以手机为代表的移动互联网平台是移动互联网得以成为现实的主要途径,本文您主要对移动互联网技术的应用进行探讨。     

移动互联网的前世今生

移动接入已将世界带到互联网的下一站——移动互联网。得益于更快、更好的连接,移动互联网将成为真正个性化和移动化网络。它势必会完全改变人们使用互联网的方式,甚至改变互联网的本质。移动通信和互联网趋于融合,这一趋势正在影响着全球人们的生活。文章剖析了互联网的产生历程,描述了日本移动互联网商用化情况,介绍了苹果公司对移动互联网繁荣的巨大贡献,列举了中国移动互联网发展过程中的里程碑事件。     

移动互联网安全综述

移动互联网是传统移动通信网络与互联网融台的产物,能够为用户提供更具移动特性、更深入到日常工作生活的应用支撑。针对移动互联网的发展,在介绍移动互联网功能架构的基础上,从传统移动通信网以及传统互联网的角度简要介绍了移动互联网安全问题产生的根源,详细分析了移动互联网智能终端、接入网络以及应用服务面临的主要安全问题,提出了静态安全体系框架与动态主动安全防御相结合的移动互联网安全体系研究思路。     

移动互联网安全研究

文章以移动互联网网络结构为基础,分析了移动互联网各个层次的安全威胁,从而给出了移动互联网安全框架和解决方案,最后设计了移动互联网安全防护系统。     

移动互联网技术及应用热点分析

随着移动互联网的迅猛发展,网络部署范围地扩大,移动网络终端的性能不断提高,使得互联网用户日益增多,尤其是智能手机的普及,让人们走进了3G/E3G时代,实现了有线互联网与移动互联网的有效融合,移动互联网地出现,为人们的生活、工作、娱乐等带来了巨大的改变。文章从当前移动互联网的现状入手,进一步分析移动互联网技术及应用热点,以增强人们对移动互联网的认识。     

移动互联网安全问题的探讨

过去的7年是移动互联网爆炸式发展的7年,2007年苹果公司推出了跨时代的智能手机,之后各大手机公司纷纷紧追互联网浪潮,使得移动通信网与互联网迅速融合,并相互渗透、相互促进,造就了今天的移动互联网。移动互联网给人们生活带来巨大便利的同时,也带来了更多的安全问题,文章在介绍移动互联网现状及架构的基础上,分析移动互联网的安全现状及安全机制,并给出安全的移动互联网架构及安全特征。     

移动互联网现状和发展趋势浅析

文章先介绍了移动互联网的定义,指出其具有移动通信和互联网的特点,然后了解国内移动互联网发展规模状况,通过展望移动互联网发展前景,进一步分析移动互联网的未来发展趋势。     

移动互联网产业发展趋势及上海前景展望

基于当前移动互联网的发展情况,研究了移动互联网技术演进路径以及产业发展趋势;继而分析了上海移动互联网产业的发展现状,对移动支付以及移动电商等上海具备区位优势的领域做了重点介绍,最后依据全球移动互联网的发展趋势及上海的实际情况对上海市未来移动互联网产业的发展进行了展望。     

Incentive edge caching in software‐defined internet of vehicles: A Stackelberg game approach

In this paper, we investigate an incentive edge caching mechanism for an internet of vehicles (IoV) system based on the paradigm of software‐defined networking (SDN). We start by proposing a distributed SDN‐based IoV architecture. Then, based on this architecture, we focus on the economic side of caching by considering competitive cache‐enablers market composed of one content provider (CP) and multiple mobile network operators (MNOs). Each MNO manages a set of cache‐enabled small base stations (SBS). The CP incites the MNOs to store its popular contents in cache‐enabled SBSs with highest access probability to enhance the satisfaction of its users. By leasing their cache‐enabled SBSs, the MNOs aim to make more monetary profit. We formulate the interaction between the CP and the MNOs, using a Stackelberg game, where the CP acts first as the leader by announcing the popular content quantity that it which to cache and fixing the caching popularity threshold, a minimum access probability under it a content cannot be cached. Then, MNOs act subsequently as followers responding by the content quantity they accept to cache and the corresponding caching price. A noncooperative subgame is formulated to model the competition between the followers on the CP's limited content quantity. We analyze the leader and the follower's optimization problems, and we prove the Stackelberg equilibrium (SE). Simulation results show that our game‐based incentive caching model achieves optimal utilities and outperforms other incentive caching mechanisms with monopoly cache‐enablers whilst enhancing 30% of the user's satisfaction and reducing the caching cost.     

Strategic Differentiation of Internationalization in the Mobile Telecommunications Industry: Case Studies

We present a unified explanation of the internationalization strategies of major mobile network operators (MNOs). We have developed a framework that analyzes the strategies of major international MNOs in terms of the relationship between their degree of involvement in international business operations and the degree of equity participation. The results show a positive association between these two dimensions as expected, but they also reveal some exceptional cases in which certain MNOs are actively involved in the business operations of other foreign MNOs, even with minor (or zero) equity investments. In this paper, we argue that the strategic actions of the major MNOs which are the largest shareholders of foreign MNOs are in an equilibrium status because these major MNOs derive maximum benefit from full or considerable management control and active involvement. Finally, we predict that latecomers (MNOs who are just about to enter foreign telecommunications markets) may adopt an incremental investment approach because most developed markets and deregulated emerging markets with growth potential are already preempted by major MNOs. Therefore, the window of opportunity for internationalization in those markets is currently small.     

Android vs. IOS: a comparative analysis over mobile operator infrastructures based on crowdsourced mobile dataset

User equipment (UE)’s operating system (OS) and category types are important factors that are affecting the end-user performance in a given mobile network operator (MNO)’s infrastructure. For this reason, fair and statistically accurate observed network performance differences of UE’s OSs based on category types, MNOs or locations can be of interest for mobile telecommunication ecosystem players. This paper’s focus is on performance comparisons of UE OSs (including Android, IOS (iPhone Operating System) and Windows phones) over different UE categories, MNOs and locations based on previously collected end-to-end nationwide crowd-sourced data measurements in Turkey. The analysis results performed in this paper uses statistical comparisons of unpaired observations due to imbalance between number of observations between all OSs and yield insight on how the mobile OS types’ network performances differ using some important Key Performance Indicators (KPIs) such as downlink (DL) speed, latency, jitter and packet loss (PL). The outcome of the analysis indicate that Android devices perform better in terms of DL speed among all MNOs, whereas IOS devices are better in terms of latency values. On the other hand depending on the UE category, the performances of MNOs may vary when IOS and Android OSs are compared based on different KPIs. Additionally, IOS has shown better performance than Android in large geographical areas of Turkey. Finally, the business aspects of performing the proposed statistical OS comparisons from the perspectives of OS developers, MNOs, device manufacturers, and end-users are highlighted.

     

A model for the mobile market based on customers profile to analyze the churning process

In the current telecommunications market that is reaching high saturation levels, mobile network operators (MNOs) try to position themselves among customers through aggressive marketing campaigns and offers. In this environment where customers have multiple MNOs to choose from, different factors influence customers’ decisions. In addition to this, mobile number portability contributes to a phenomenon called churning where customers migrate from one MNO to another. Churning impacts not only the network design but also the pricing methods adopted by MNOs, and hence their revenue. It is because of this that MNOs try to reduce churn through retention campaigns. The key factor for the success of these campaigns is to detect potential churners before they leave the service. The state of the art has focused on proposing methods to identify churners based on data mining techniques, however these techniques doesn’t always offer clear explanations for churn reasons. Instead, we use a technique called agent-based modeling to model customers in the mobile telecommunication market and assess the effects of customers characteristics and behaviors on such market. We propose a model that includes some relevant demographic and psychographic characteristics and the utilizations of usage profiles to describe customers. We show with simple experiments how different factors lead to churn in different ways. We believe the proposed approach is useful because MNOs can use it for explanatory, exploratory and predictive purposes.     

Wireless resource virtualization: opportunities,challenges, and solutions

Wireless resource virtualization (WRV) is currently emerging as a key technology to overcome the major challenges facing the mobile network operators (MNOs) such as reducing the capital, minimizing the operating expenses, improving the quality of service, and satisfying the growing demand for mobile services. Achieving such conflicting objectives simultaneously requires a highly efficient utilization of the available resources including the network infrastructure and the reserved spectrum. In this paper, the most dominant WRV frameworks are discussed where different levels of network infrastructure and spectrum resources are shared between multiple MNOs. Moreover, we summarize the major benefits and most pressing business challenges of deploying WRV. We further highlight the technical challenges and requirements for abstraction and sharing of spectrum resources in next generation networks. In addition, we provide guidelines for implementing comprehensive solutions that are able to abstract and share the spectrum resources in next generation network. The paper also presents an efficient algorithm for base station virtualization in long‐term evolution (LTE) networks to share the wireless resources between MNOs who apply different scheduling polices. The proposed algorithm maintains a high‐level of isolation and offers throughput performance gain. Copyright © 2016 John Wiley & Sons, Ltd.     

Resource allocation in cellular networks based on marketing preferences

As the usage of cellular phones increases wireless subscribers demand many advanced networking capabilities, especially multimedia applications with very high Quality of Service (QoS) requirements. The limited availability of radio spectrum enforces Mobile Network Operators (MNOs) to have efficient resource management strategies. The goal is to offer services that satisfy the QoS requirements of individual users while achieving an efficient utilization of network resources. This paper considers a resource allocation strategy for cellular networks to be applied during call initiation, handoff and allocation of mobile base stations. Long-term customer retention becomes a major challenge for MNOs due to severe competition in the telecommunications industry. Therefore the MNOs need to understand the customer demographics as well as the customer spending behavior in telecommunications market. Our proposed model combines the information about the customer demographics and usage behavior once the call is initiated. Our hypothesis is that using customer information together with call information yields an efficient customer-oriented resource management strategy. We have performed simulations with different real-life scenarios. Our results show that our proposed model performs better in terms of revenue increase when compared to the First-Come First-Serve based approach.     

An elastic resource allocation algorithm enabling wireless network virtualization

Following the wired network virtualization, virtualization of wireless networks becomes the next step aiming to provide network or infrastructure providers with the ability to manage and control their networks in a more dynamic fashion. The benefit of the wireless mobile network virtualization is a more agile business model where virtual mobile network operators (MNOs) can request and thus pay physical MNOs in a more pay‐as‐you‐use manner. This paper presents some resource allocation algorithms for joint network virtualization and resource allocation of wireless networks. The overall algorithm involves the following two major processes: firstly, to virtualize a physical wireless network into multiple slices, each representing a virtual network, and secondly, to carry out physical resource allocation within each virtual network (or slice). In particular, the paper adopts orthogonal frequency division multiplexing (OFDM) as its physical layer to achieve more efficient resource utilization. Therefore, the resource allocation is conducted in terms of sub‐carriers. Although the motivation and algorithm design are based on IEEE 802.16 or WiMAX networks, the principle and algorithmic essence are also applicable to other OFDM access‐based wireless networks. The aim was to achieve the following design goals: virtual network isolation and resource efficiency. The latter is measured in terms of network throughput and packet delivery ratio. The simulation results show that the aforementioned goals have been achieved. Copyright © 2012 John Wiley & Sons, Ltd.     

构建更加开放的移动互联网

随着HSPA+等网络的部署,移动互联网业务将进一步丰富,移动通信与互联网将会融合出更大的产业。文章探讨移动互联网的现状、发展趋势,并对运营商部署移动互联网业务提出了相关建议。     

移动互联网广告推荐算法研究

移动互联网的飞速发展为广告投放提供了一种新的应用模式,移动广告已成为移动互联网的主要赢利模式之一.基于用户的细分按需投放广告,是移动广告发展的必然趋势.本文提出了移动互联网广告推荐体系的结构,根据WAP页面的所属类别和关键词,在广告库中选择相匹配的广告进行投送.     

M2M虚拟运营的商业模式研究

M2M市场在未来几年拥有较大的增长空间,随着移动转售业务牌照的发放,M2M将成为虚拟运营商可以切入的具备潜力的市场领域之一。探讨M2M虚拟运营的商业模式,分析国际开展M2M虚拟运营的案例,并给出国内开展M2M虚拟运营的建议。