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20 December 2016, Volume 32 Issue 12

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Topic: big data

Big data business innovation model for telecom operator

Jun ZHAO,Lei HUANG,Ting HUANG

2016, 32(12):  2-6.  doi:10.11959/j.issn.1000-0801.2016300

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From the perspective of some enterprises' big data value technology, despise application, value construction and despise operation problems, the importance of business innovation for big data transformation of enterprises was discussed, the characteristics of big data business innovation were analyzed and combined with the characteristics of telecom operators business and data, the big data business innovation mode suitable for telecom operators was studied, the functional framework of business innovation support system was designed, the implementation strategies and suggestions were proposed.

Application of random forest in big data completion

Zheng WANG,Hua REN,Yanping FANG

2016, 32(12):  7-12.  doi:10.11959/j.issn.1000-0801.2016317

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Telecom operators have a lot of data, but in view of a variety of reasons, the quality of the data is not ideal, there are a lot of data is not complete or even missing. For existing data mining, it is necessary to carry out the data to meet the quality of the data and to achieve sufficient sampling proportion. Relying on the country's existing log retention system, template library design data integrity, authentication could not meet the quality requirements of the data, using the random forest algorithm, the same data with or related data was found, data was completed and data quality was improved, and the template library was extended by optimization of feedback. The construction of completion data subsystem in the system log retained end-to-end data quality guaranteed and improved quality, completed and improved the real-time data and historical data, and ultimately met the requirements of data processing and mining operators, improved data quality and value.

Key technologies and application scenario of DC/OS

Jiheng ZHANG,Dazhong LI,Chengyu ZHANG,Jinwu WEI

2016, 32(12):  13-19.  doi:10.11959/j.issn.1000-0801.2016313

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Firstly, critical technologies in data center operating system（DC/OS）, including Mesos, Yarn, Kubernetes and Docker were presented. Based on the current situations and problems that both domestic and foreign telecom operators faced, a simple resolution was proposed and technical realization as well as the selection of techniques were discussed. At last, several cases of DC/OS application for telecom operator were introduced.

Theory, application fields and challenge of the blockchain technology

Dong LI,Jinwu WEI

2016, 32(12):  20-26.  doi:10.11959/j.issn.1000-0801.2016309

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Blockchain technology is a distributed data recording scheme to record all transactions or electronic behavior, namely public ledger technology. Blockchain technology has gradually caught attention of the public, causing widespread concern and discussion in the world with the features of distributed, decentralized and non fraud. The working theory of the blockchain and its application in the field of finance and non-finance were described. And the challenges and opportunities in the development of the blockchain technology were analyzed.

Data sharing of mobile internet vehicles

Shungeng HU,Zhijun WANG,Lin ZHANG,Lin CHANG

2016, 32(12):  26-31.  doi:10.11959/j.issn.1000-0801.2016307

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Vehicles with internet communication capabilities are called mobile internet vehicles, data collected by sensors loaded with specific vehicles, V2X interactive data, and vehicle attribute data collectively referred to as mobile internet vehicle data. The data content of mobile internet vehicles was analyzed, the application of mobile internet vehicles data was studied, the composition of the industry chain of mobile internet vehicles data was analyzed, and a data sharing framework for mobile internet vehicles based on data collection, management and sharing was proposed.

Design and implement of IPTV content repository based on graph database

Xin CAI,Yilong RUAN,Yirong SHI

2016, 32(12):  32-36.  doi:10.11959/j.issn.1000-0801.2016319

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Plenty of program content information in the telecom operators IPTV platform can be used to build knowledge base. The traditional way of using relational database to format conversion and storage of knowledge has limitation in the model structure complexity and query visualization and efficiency. Graph database can be used to construct IPTV content knowledge based on the basis of a new graph model. Through the research and comparison, the idea and method of storing and querying the IPTV content repository based on graph database were proposed, and the actual data of a telecom company was used for the scene verification.

Research and application of IPTV precision marketing based on big data

Hongyong YU,Jianfeng WEN,Xin CAI,Chenxu QIU

2016, 32(12):  37-42.  doi:10.11959/j.issn.1000-0801.2016316

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The big data technology in IPTV precision marketing was analyzed. According to local conditions, the framework solution of“Hadoop big data platform + Web crawler + modeling tool”was developed. The key points of the solution and the whole data modeling process were analyzed. Good results were achieved in IPTV precision marketing, and higher application value was gained.

Terminal replacement model based on big data mining

Xueqiong WANG,Junjie XIONG,Xiaohui YAO

2016, 32(12):  43-52.  doi:10.11959/j.issn.1000-0801.2016314

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In order to incrementally capture, retain and grow the subscriber bases, mobile operators must more effectively maximize the utilization of big data. Promoting the sale of mobile terminals was one of the focus of the operator's business currently. By mining the big data of consumer behaviors, including consumers' attributes, mobile terminal information and DPI data, replacing inclination distinguished model was built based on decision tree and recommending model was built based on clustering algorithm to identify target customers.

Virtual service migration based on fuzzy logic approach

Zihou WANG,Yuemei XU,Luchen ZHANG

2016, 32(12):  53-60.  doi:10.11959/j.issn.1000-0801.2016246

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During the lifetime of virtual network, users' requirements for virtual services will be affected by their locations, behaviors and mobility. For a green, energy-saving, efficient-using virtual resource migration and scheduling, the service migration method based on fuzzy logic inference was proposed. The method could infer the changes of user demand, migrate the virtual service according to the changes. It would increase the resource utilization and the QoE.

research and development

Interference analysis and radio frequency requirement of TD-LTE and LTE FDD systems

Jian FANG,Biao HUANG,Peichuan KANG,Ying XU

2016, 32(12):  61-66.  doi:10.11959/j.issn.1000-0801.2016318

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The system interference of 1.9 GHz TD-LTE and 1.8 GHz/2.1 GHz LTE FDD was studied. Firstly, the interference mechanisms and scenarios were analyzed, which focused on the interference of BS-BS. Moreover, the radio frequency requirements of TD-LTE and LTE FDD coexistence were given as the result of deterministic analysis and simulation calculations. The RF requirements were finally verified through lab tests as well as extensive field tests. The conclusion provides meaningful reference of 4G system utilization and BS coordination in China.

Superimposed pilot-based channel estimation method combined with user scheduling for large-scale MIMO system

Jie LI,Xiaorong JING

2016, 32(12):  67-74.  doi:10.11959/j.issn.1000-0801.2016302

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Time division multiplexing method is commonly used in conventional channel estimation, which results in poor efficiency of bandwidth usage. Additionally, the available pilot resources are finite due to the limited channel coherence time, and the pilot sequences must be multiplexed between the neighbor cells, which leads to problems of pilot contamination. To solve these problems above, superimposed pilot-based channel estimation method combined with user scheduling was proposed. In the method, the users in different cells were cooperatively scheduled and assigned the same pilot by optimizing the factor of power allocation and using the signal to leakage and noise ratio （SLNR）as measure metric. Simulation results demonstrate the validity of the proposed method.

Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion

Bing WANG,Zhengquan LI,Feng YAN,Lianfeng SHEN

2016, 32(12):  75-79.  doi:10.11959/j.issn.1000-0801.2016324

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In order to reduce the complexity of the massive MIMO channel estimation, a channel estimation method based on Kapteyn series expansion was proposed. By using Taylor series to expand the inversion, the complexity was greatly reduced. In order to improve the Taylor-MMSE estimation of the convergence rate, Kapteyn series was used to expand covariance matrix. The simulation result shows that the mean square error of Kapteyn-MMSE estimation converges faster than Taylor-MSME. It is insufficient that the complexity of Kapteyn-MMSE slightly higher than the complexity of Taylor-MMSE, but still far less than the complexity of classical MMSE algorithm.

Image retrieval based on the feature of VLAD and sparse representation

Wen YAN,Wei JIN,Randi FU

2016, 32(12):  80-85.  doi:10.11959/j.issn.1000-0801.2016308

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In order to achieve the goal of fast and accurate image retrieval,an image retrieval method combining VLAD （vector of locally aggregated descriptor）feature and sparse representation was proposed. Firstly, according to the characteristics of rich structure details and obvious differences for local visual features in image, the local rotation invariant SURF feature of the image was extracted,and the local VLAD feature of the image with rotation invariance was constructed by the local aggregation descriptor method. Then, the VLAD feature was combined with the sparse representation（SR）to design the similarity retrieval metric based on SR,thus the retrieval of the image could be realized. The experimental results show that,proposed method outperforms the compared methods in terms of precision,average normalize modified retrieval rank（ANMRR）and other indicators,and it also has higher computational efficiency.

Compatibility study between IMT and inter-satellite service systems in 25.25～27.5 GHz frequency band

Zhaojun QIAN,Tan WANG,Long KANG,Bo LI

2016, 32(12):  86-92.  doi:10.11959/j.issn.1000-0801.2016320

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Based on the existing technical parameters, the interference coexistence of 25.25～27.5 GHz band international mobile communication（IMT）system and inter-satellite service data relay satellite（DRS）were studied. Based on the aggregate interference assessment, the interference between IMT base station（BS）and inter-satellite service DRS receiver where the DRS orbit at 59 degree, 85 degree and 113 degree longitude were comparatively studied. In addition, the tradeoff between the total number of IMT BS and its transmission power was analyzed with certain interference margin.These results are useful for designing and deployment of IMT systems in 25.25～27.5 GHz band 5G spectrum planning in the future.

De-noising method of pulse signal based on double-tree complex wavelet transform and morphological filtering

Dan LI,Huiqian WANG,Tong BAI,Jinzhao LIN,Yu PANG,Xiaoming JIANG,Yuhao JIANG

2016, 32(12):  93-98.  doi:10.11959/j.issn.1000-0801.2016321

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Common medical signals such as pulse signals, contain a variety of noises, have strong nonlinear and non-stationary. According to the previous wavelet transformation method, a pulse signals de-noising algorithm based on dual-tree complex wavelet transform（DTCWT）was proposed. With the advantage of simple construction, clear mathematical implications and low computational complexity, this method overcame the shift sensitive and the frequency aliasing in the discrete wavelet transform. The simulation results show that this algorithm can remove the power line interference and EMG interference, and the quantitative index of SNR and mean square error is superior to the traditional threshold de-noising algorithm. Therefore, the dual-tree complex wavelet transform de-noising algorithm will obtain clear medical wave signals.

Network connectivity performance for vehicular Ad Hoc networks based on channel transmission environment

Yang LI,Haitao ZHAO,Zihao TANG,Yuting ZHANG

2016, 32(12):  99-103.  doi:10.11959/j.issn.1000-0801.2016303

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The inter-vehicle transmission interference is one of the key factors to impact the communication performance of vehicular Ad Hoc networks. When vehicles send signals at the same time, it will inevitably have an impact on the surrounding vehicles, which has a negative effect on network connectivity prediction. According to vehicle density and traffic flow, a vehicular network connectivity prediction model was presented based on Nakagami distribution. The Nakagami distribution was used to describe the fading channel in the signal transmission process. Form expression of the inter-vehicle connectivity probability was also derived with power probability density function and signal to noise ratio of received signals.Simulation results show that connectivity probability can be well improved with larger ratio of vehicles which transmit signals before the ratio reaches the maximum.However,negative effect will take place on vehicular connectivity when the ratio exceeds the maximum value.

Frequency coordination method of land mobile service in 150 MHz and 400 MHz bands in border areas

Hong REN,Yao BAO

2016, 32(12):  104-108.  doi:10.11959/j.issn.1000-0801.2016312

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The frequency planning for 150 MHz and 400 MHz bands of land mobile services in China and its neighboring countries was analyzed, and the status of related frequency assignments registered in ITU was studied. By comparing the existing frequency coordination methods, and the feasibility of channel allocations was analyzed, the coordination solutions for these bands were proposed.

Operating technology wide-angle

A real time approach to user interest classification using DPI

Kang CHEN,Huazheng FU,Chong CHEN,Yuyi ZHANG,Yu WEI

2016, 32(12):  109-115.  doi:10.11959/j.issn.1000-0801.2016304

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In recent years, with the rapid development of internet, telecom operators can gather more and more DPI data. How to mine and classify huge amounts of DPI data in real time is the key point. A DPI data classification method was presented, which combined the URL classification model based on mixed n-gram features and the Doc2Vec based text classification algorithm. The DPI data classification speed and classification accuracy were greatly improved, and good support for precise marketing was provided.

Homologous homoclinic solutions based on DPI traffic asymmetry

Jie PAN,Feng GAO,Dong LIU,Zhao DONG,Huifang HOU

2016, 32(12):  116-121.  doi:10.11959/j.issn.1000-0801.201630

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In the field of current internet application analysis, in order to obtain more accurate basic data, traffic collection needs to ensure the integrity of each session traffic. The cause of traffic asymmetry and the impact analysis, combined with the actual needs of business analysis, homologous homoclinic flow merge the basic ideas and solutions were proposed.

Interconnection scheme of VxLAN based cloud datacenter networks

Jiexin ZHANG,Zhiming WU

2016, 32(12):  122-128.  doi:10.11959/j.issn.1000-0801.2016301

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Several interconnection and interworking schemes of cloud datacenter networks based on VxLAN technique were studied in prospective of VxLAN technique and underlay network status. And the respective advantages and disadvantages of these schemes were analyzed. Finally, the applicable scenarios of each scheme were summarized. It is in the hope that the study would provide some useful technique references for the development of carriers'datacenters.

Construction model of excellent team for communication research institutes

Youli HUANG

2016, 32(12):  129-134.  doi:10.11959/j.issn.1000-0801.2016311

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Team is the forefront of scientific research institutes and the most active organizational unit, the effectiveness of team construction is directly related to the sustainable and healthy development of the entire enterprise. According to the characteristics of scientific research institutes, a model of team construction which was highly targeted,innovative and effective,was put forwand.Through the communication industry research institutes and telecom operators of the common and difference analysis, combined with the characteristics of the communications industry research institutes, excellent team construction model was put forward. Various effective measures of implementing outstanding team construction of scientific research institutes were further summed up. Finally, the effectiveness of the model was analyzed, and the results show that the model is effective in improving the train of thought,promoting the strategy execution ability and enhancing the creativity and cohesion of the research team.

Consideration and suggestion of talents team construction for information and communication industry

Li YAN,Fenfen LIN

2016, 32(12):  135-138.  doi:10.11959/j.issn.1000-0801.2016325

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Due to the rapid development of information and communication industry, there is a shortage in professional and technical personnel supplication, especially the talents. Based on the characteristics and demand of talents in information and communication industry,?discussion on how subject such as government, colleges and universities, was made. Consideration and suggestion from policy, basic education and environment creating were put forward and reference for talents team construction for information and communications industry was made.

Method of connection establishment between CPE and the cloud platform

UFengchao FU,Yuanbao XIE

2016, 32(12):  139-143.  doi:10.11959/j.issn.1000-0801.2016285

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SDN and NFV technology have aroused more and more attention. The main idea of vCPE is to split the CPE into two parts and to make the L3 functions up to the network. Through this method, CPE can be simplified and the difficulty for subscribers to operate and maintain CPE can be reduced. For operators, vCPE can reduce the probability of on-site service, and can provide value-added services for subscribers. The problem of connection between the CPE and the cloud platform was studied. By using VxLAN and NvGRE, the L2 connection between CPE and cloud platform could be established, and at the same time, the change to existing huge CPEs was small.

Data processing method for telecom data based on projection pursuit

Jinming ZHAO

2016, 32(12):  144-148.  doi:10.11959/j.issn.1000-0801.2016322.

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In the big data era, the data which operator can collect and process is quickly growing. At the same time, due to the high dimension of the data, it is very difficult to extract and process information from them. This makes the waste of the computing capability of operators, even may lead to the decrease of performance due to the growth of the data dimension. The main reason of this phenomenon is that not all dimensions are interested with the information. Therefore, it is necessary to select the appropriate dimensions according to the data characteristics. Based on this, a data processing method based on projection pursuit was proposed. The result demonstrates the effectiveness of the scheme.

Perception technology of virtual threat for large enterprise's information security construction

Ying XU,Zhao WU,Zhiqi LI

2016, 32(12):  149-156.  doi:10.11959/j.issn.1000-0801.2016310

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Facing with the rapid develop ment of the progress of the information construction, how to effectively achieve the risk prevention and control, in order to build the advanced, practical, safe and reliable information security system, is a severe test to every large enterprise. By analyzing the main characteristics of various security risks and the information security protection, which are faced by large enterprises in the information construction, the practical ideas for the construction of information security system was put forward. Furthermore, the threat that faced by the large enterprise's virtual environment of information security construction was analyzed, a virtual threat perception system was destgned, which consists of threat intelligence platform, the local detection system and data analysis platform.