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20 March 2019, Volume 35 Issue 3

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Enterprises:

Pluggable optical transceiver:market and technology

VG KOZLOV

2019, 35(3):  1-5.  doi:10.11959/j.issn.1000-0801.2019050

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Pluggable optical transceivers provide a practical,standard optoelectronic interface solution for a variety of optical networks.Firstly,a variety of 10 Gbit/s optical transceivers were shown,and then the global optical transceiver market was classified according to device technology.The average selling price of ONU in FTTx,ONU optical modules in DWDM networks,Ethernet and FTTx and 100GbE SR4 and CWDM4 transceivers were revealed.Finally,the onboard optical module packaged with the ASIC switch was given.

Topic:moving edge computing

Construction and typical cases analysis of edge cloud platform for telecom operators

Huazhang LV,Dan CHEN,Youxiang WANG

2019, 35(3):  7-17.  doi:10.11959/j.issn.1000-0801.2019062

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Edge cloud technology is the product of ICT integration and also the key technology to support operators in 5G network transformation.Relying on the advantages of abundant communication cloud resources,operators can build edge cloud resource pools on the side of network edges for end users to ensure low delay and high bandwidth business requirements,so as to meet the future business development of high-definition video,VR/AR,industrial internet and internet of vehicles.The overall thinking of operators to build edge cloud platform were focused on,including hardware selection,lightweight virtualization layer,PaaS platform construction and business management scheduling strategy.In the end,several types of services enabled by edge cloud of operators were analyzed and explained,including security monitoring scenarios,CDN sinking,slice customization and service acceleration.In the future,operators will provide edge cloud to end solutions,establish a new industry ecology for 5G,and promote the development of the entire edge cloud industry chain.

A solution for flexible adaption of network services in mobile edge computing

Bohao FENG,Huachun ZHOU

2019, 35(3):  18-24.  doi:10.11959/j.issn.1000-0801.2019054

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In order to cope with the challenges brought by the “internet of everything”,mobile edge computing has been highly valued by academics and industry for its unique advantages.However,traditional IP networks are unable to provide network services dynamically in an efficient way for mobile edge computing,due to deficiencies from their original design.To this end,based on emerging network technologies,a solution for flexible adaptation of network services in mobile edge computing scenarios was proposed,aiming at realizing on-demand and effective deployment of network services to meet the diversified and personalized needs of different users.

Incentive mechanism enables efficient fog network

Beibei WANG,Fei SHEN,Xujie LI,Huihui XU,Chongchong ZHANG

2019, 35(3):  25-35.  doi:10.11959/j.issn.1000-0801.2019061

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In order to improve the resource utilization and service quality of the fog network,as well as ensure the reliability and security of heterogeneous fog nodes,a reasonable incentive mechanism was required.The introduction of incentive mechanism can effectively motivate the service enthusiasm of fog network equipment and reduce the malicious or selfish behavior of the equipment.Firstly,the research significance of the fog computing was proposed,and the characteristics as well as the application scenarios of fog networks were given.Secondly,the system architecture of the fog network was introduced.Then the incentive mechanism was integrated with the resource sensing technology and the task offloading technology in the fog network,and further examples were presented to show the important role of the incentive mechanism in the fog network.

Computation offloading and resource management scheme in mobile edge computing

Qiuping LI,Junhui ZHAO,Yi GONG

2019, 35(3):  36-46.  doi:10.11959/j.issn.1000-0801.2019060

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Mobile edge computing (MEC) is an innovative computing paradigm.Offloading computing tasks to MEC server can effectively solve the contradiction between resource-constrained of mobile user and computing-intensive applications.Moreover,it can meet the delay of computing task and reduce energy consumption of mobile user.The current research results and achievements of computation offloading scheme in MEC system were summarized and the existing problems and challenges were analyzed.Furthermore,the development directions of MEC in the future were explored.

A new offloading paradigm:vehicular edge task offloading based on parked vehicles relay

Peiyang DONG,Junhui ZHAO,Dan ZOU,Xiaoke SUN

2019, 35(3):  47-53.  doi:10.11959/j.issn.1000-0801.2019055

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Vehicular edge computing (VEC) is a key technology that can realize low latency and high reliability in vehicular network.VEC can solve the problem of insufficient computing of vehicle terminals,and reduce the communication service delay of vehicular network,avoiding a large amount of waste of free resources in parked vehicles on the road.A task offloading scheme based on parked vehicles relay was proposed,which could reduce the delay in vehicles’ communication process into the millisecond level by rationally deploying the edge server and introducing the cooperative relay technology.Numerical results indicate that compared to direct V2I offloading model,the communication delay can be reduced by 20% in the parked vehicle relay transmission.

research and development

Wireless edge intelligence empowers smart society

Zhi WANG,Xing ZHANG,Wenbo WANG

2019, 35(3):  54-61.  doi:10.11959/j.issn.1000-0801.2019044

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To satisfy the technical requirements of eMBB,mMTC and uRLLC in 5G application scenarios,wireless edge intelligence sinks core capabilities of computing,caching and network to the edge of radio access network,as well as introduces technologies such as deep learning/artificial intelligence into the edge cloud,thereby enabling digital life,digital society and digital industry.Firstly,the concept,challenges and opportunities of wireless edge intelligence were clarified.Moreover,the platform deployment of wireless edge intelligence was analyzed.Finally,the possible future deployment directions of wireless edge intelligence were discussed.

Application prospects of marine internet

Shengming JIANG,Xiang SHAN

2019, 35(3):  62-68.  doi:10.11959/j.issn.1000-0801.2019049

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The original intention of marine internet aims to extend the terrestrial internet to the marine environment (including underwater,surface and air) seamlessly as much as possible,providing internet services for users therein.However,there are still many other potential applications of the marine internet in such specific marine environments.These applications and main research issues were discussed briefly in order to call for more attentions to the R&D of marine internet.

A low complexity ZF precoding scheme based on weighted Gauss-Seidel in massive MIMO systems

Dong ZHOU,Haiyan CAO,Fangmin XU,Xin FANG,Xiumin WANG

2019, 35(3):  69-75.  doi:10.11959/j.issn.1000-0801.2019048

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In massive MIMO systems,due to inversion of Hermitian matrix,the complexity of the traditional ZF precoding method increases exponentially with increase of the number of users.To solve this problem,a low complexity digital ZF precoding scheme based on weighted Gauss-Seidel (WGS) was proposed.That was weighted addtion the iteration results of previous step and Gausee-Seidel iteration results to accelerate the iterative convergence.The weighting factor was determined by the least mean square sum,and the weighting factor was proved to make the algorithm converge.The simulation results show that the WGS algorithm can approximate the performance of ZF precoding scheme with very few iterations,and reduce the complexity of ZF precoding from O(K ³) to O(K²),where K is the number of users.

Regularized threshold iteration method for impulsive noise suppression in underwater acoustic communication

Nana LI,Youming LI,Mingchen YU,Qianqian LU

2019, 35(3):  76-83.  doi:10.11959/j.issn.1000-0801.2019010

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Impulsive noise interference can seriously affect the performance of underwater acoustic communication systems.An impulsive noise suppression method based on regularized threshold iteration was presented.Firstly,the null subcarrier matrix was used to separate impulsive noise from Gaussian white noise and useful signals.Then,based on the theory of compressed sensing,the impulsive noise estimation problem was transformed into a regularization problem by introducing a threshold iteration,and the impulsive noise was estimated by using a threshold function to obtain the estimated value of the impulsive noise.Finally,the estimated impulsive noise was subtracted from the received signal.The simulation results show that the proposed method can effectively reduce the bit error rate (BER) and mean square error (MSE),and improve the reliability of signal transmission in underwater acoustic communication environment.

Energy optimization strategy on the IoT equipment based on the scheduler

Wanfang ZHAO,Yong HAN

2019, 35(3):  84-90.  doi:10.11959/j.issn.1000-0801.2019043

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A scheduling strategy to optimize energy consumption was proposed to reduce the energy consumption of the edge system in view of the fast growth of energy consumption demand in the internet of things.Based on the analysis of the power management architecture and the energy consumption composition in the typical multi-core terminal system,in view of the shortcomings of the existing system power management module,the scheduler load balancing mechanism was improved to control system energy consumption and the implementation process and implementation points of the strategy were given.The strategy was tested in the multi-core simulation system.The result shows that in low load scenarios,that is,in scenarios that CPU does not need to do data-intensive computing,the energy-saving effect of this strategy is obvious,such as data acquisition,equipment monitoring and other typical internet of things applications.

Improved segmented CRC assisted puncturing Polar decoding

Yanhong NI,Xiangxiong LOU,Jianrong BAO

2019, 35(3):  91-98.  doi:10.11959/j.issn.1000-0801.2019007

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A segmented cyclic redundancy check (CRC) assisted decoding algorithm was proposed.This method makes use of the high parallelism of BP decoding and the high reliability of CRC verification,and uniformly or proportionally disperses CRC verification bits into the original information bits.Simulation results show that when the code length N is 1 024 and the SNR is 3.5 dB,the average iterations of segmented CRC（2,16×2）and CRC (2,24+8) are 2.7 and 2.8 times less than those of G matrix based decoding.When the code length M is 896,the two segmented methods with a bit error rate of 10^-5obtained about 0.7 dB gain compared with the non-CRC assisted BP puncturing decoding.

An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics

Bin ZHANG,Peng,YUANJie WU,Lingqing SUN,Qiming FU,Yongze ZHANG,Yu LU

2019, 35(3):  99-106.  doi:10.11959/j.issn.1000-0801.2019042

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Aiming at the characteristics such as low contrast,unclear imaging,over-dark or over-bright overall imaging and noise interference in ultraviolet image itself,a Curvelet domain ultraviolet image enhancement algorithm was proposed based on the masking characteristics of human vision.Firstly,the ultraviolet image information was decomposed to different scales and direction sub-bands by Curvelet transform.Secondly,the HVS model was established according to each sub-band,and with its masking characteristics,the nonlinear gain of the high frequency component was used to improve the image contrast.Meanwhile,the low frequency component of nonlinear grayscale stretching could improve the overall brightness of the image.Finally,the processed high and low frequency components were reconstructed by Curvelet backward to obtain enhanced ultraviolet images.The experimental results show that the enhanced image accords with the extraction of image information from human vision and highlights the contour information of edge and target.In addition,it has obvious effect in subjective vision and quantitative index.

Power informatization column

Design and implementation of synchronous line loss electricity consumption information collection system based on Beidou technology

Jiye WANG,Liang SHEN,Linxin WANG,Chengyue YANG

2019, 35(3):  107-115.  doi:10.11959/j.issn.1000-0801.2019056

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In consideration of this situation,a technical scheme based on Beidou satellite system was proposed,which could realize the collection of power consumption information and could safely bring Beidou terminal onto concentrators and main station systems.At the same time,it was compatible with the original power consumption collection system to achieve effective coverage of the blind zone.A technology of Beidou short message partition and composition was proposed,which made the transmission of long data packets in the power 376.1 protocol come true.Meanwhile,the platform implements the Beidou multi-card management and pre-buffering mechanism to solve the problems of the delay in issuing commands and data query response.And some mechanisms such as active reporting and timing motion tween call instructions in multi period was introduced in order to make up the packet loss problem in the area of Beidou communication.The technology has been tested,which shows that the success rate of data collection under the situation of equipment normal operation can be up to above 99% and demonstrates the high reliability and safety.

Coordinated and unified control technology of IP and optical transport network for power services

Dongshan WANG,Yue MA,Yan LI,Jian GAO,Zhibin YIN

2019, 35(3):  116-121.  doi:10.11959/j.issn.1000-0801.2019046

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Based on the advantages of centralized,open and manageable of SDN (software defined networking) technology,a centralized unified control architecture and service coordination control mechanism of IP and optical transport networks for power services was proposed to realize power IP and optical transport network.Under the unified control architecture of IP and optical transport network,the IP layer flow table and optical layer flow table convergence mapping algorithm were proposed based on OpenFlow protocol,and the unified control interaction mechanism between IP and optical transport network was designed to improve power IP and optical transport network.Therefore,the support ability of IP and optical networks to power services can be greatly improved.

Research on indoor positioning algorithm based on visible light communication

Daming ZHAO,Xin WANG

2019, 35(3):  122-126.  doi:10.11959/j.issn.1000-0801.2019031

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VLC is a green communication technology that realizes communication while using white LED solid-state light source for illumination.Through the research on visible light communication technology,combined with the positioning accuracy improvement algorithm,a low-cost,low-power,high-precision,illumination-enabled visible light positioning solution was proposed.System scheme and channel model,signal receiving and processing technology,high precision positioning algorithm,image assisted technology were analyzed.

An adjustment method for electricity sales forecasting result considering the effects of spring festival

Jian LIU,Jiakui ZHAO,Yuze CHEN,Xuemin FANG,Yuxi LIU,Shulong WANG,Yan CHEN,Hong OUYANG

2019, 35(3):  127-134.  doi:10.11959/j.issn.1000-0801.2019041

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The effects of Spring Festival on electricity sales of different trades were considered and an adjustment method for electricity sales forecasting result was proposed.Firstly,the month-quarter ratio of historical electricity sales in each trade of every month in the first quarter and the distance between Spring Festival and the first day of every month in the first quarter was used to create a functional relationship.Then,the distance between Spring Festival and the first day of every month in the first quarter of the target year was used as input and the predicted month-quarter ratio of electricity sales of each trade of every month in the first quarter of the target year was calculated according to the functional relationship.The adjusted electricity sales forecasting result can then be computed by using the predicted month-quarter ratio and the electricity sales forecasting of each trade of every month in the first quarter of the target year before adjustment.The adjustment result shows that the proposed method can effectively lower the error of electricity sales forecasting in the first quarter.

Early warning prediction of external force destruction in transmission lines based on automatic clustering model

Dayan MA

2019, 35(3):  135-139.  doi:10.11959/j.issn.1000-0801.2019053

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The external force destruction has become a major threat to the safe and stable operation of overhead transmission lines,bringing difficulties to the defense and early warning work.In order to solve the problem that the traditional clustering center is difficult to accurately determined and susceptible to abnormal points,an automatic clustering method for data analysis work of transmission lines was presented,and external damage data was analyzed from time and space latitude.Firstly,the cluster center was initialized in this method by using Canopy algorithm.Then,the optimized K-means algorithm was used to perform clustering.Finally,the effectiveness of this method was proved by experimental analysis.This method will be applied to the GIS module in the power information system,which can realize the spatio-temporal visualization of the analysis results and provide powerful decision support for finding cause of the external force damage of the transmission line.

Intelligent energy saving measurement method and realization of power grid based on IoT

Dapin ZHANG,Qinghai OU,Yeshen HE,Yiying ZHANG

2019, 35(3):  140-146.  doi:10.11959/j.issn.1000-0801.2019058

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Power grid energy saving engineering,especially transmission and transformation related projects,is an important link of energy saving.The energy saving measurement methods of the main links of transmission and transformation were summarized,including IPMVP method and general energy saving measurement method in China.At the same time,by using the technology of IoT and fusion of relevant algorithms,the efficiency of measuring equipment can be improved,and the energy saving can be measured in a timely and accurate way.The calculation and measurement methods of energy saving were illustrated by an example,which provided a theoretical basis for energy saving measurement in power grid enterprises.

Boiler excess air coefficient model based on the large data analysis

Xiaowen SU,Chaofei LIU,Zhiwei WANG,Hao ZHANG

2019, 35(3):  147-152.  doi:10.11959/j.issn.1000-0801.2019045

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Excess air coefficient value of boiler directly affects boiler efficiency.The multivariate linear regression method in the large data analysis method was used,after the preprocessing of the historical running data,the SPSS software was used to regress the sample data,and the evaluation model of the influence factors for the excess air coefficient was established.The correlation coefficient of the selected influence factors was obtained,and the accuracy of the model was carried out by the residual analysis method.Finally,the excess air coefficient of the actual operation was analyzed based on the design value.