最新刊期
卷 37 ， 期 5 ， 2021
- 摘要：5G is the current focus of the development of the information and communication industry, and is gradually being deployed and commercialized.The 5G network will cover toC to toB, aiming at the interconnection of everything, so the complexity and challenges are unprecedented.In order to meet the needs of multiple scenarios, 5G network technology is complex and flexible in design, and the traditional management and operation methods are difficult and costly.At the same time, industry application requirements are very different and demanding.All of these require integrated solutions such as cloud-network integration and network industry collaboration.In response to the above-mentioned problems and needs, an intelligent and simplified 5G wireless network technology framework was proposed.Through innovative thinking and technology development of wireless networks, 5G and artificial intelligence, cloud computing, big data, edge computing and other new technologies were integrated and innovated to continuously improve 5G capabilities and promote the deep convergence of 5G and DOICT.A detailed introduction to the entire framework, platforms and applications in the above technology system were given.Finally, a technical outlook was proposed for shaping a new 5G ecology that supported green, smart, efficient operation, and the internet of everything.关键词：5G;intelligent and simplified 5G wireless network;green power saving1050|1461|0更新时间：2024-06-05
- 摘要：It is of great significance to give full play to the advantages of the new nationwide system, break through the key core technologies, and solve ＆quot;neck sticking＆quot; problems, so as to promote China becoming a cyberpower.The development achievements of cyberpower in network construction, technology industry, integrated applications and inclusive people’s livelihood were summarized.The importance and necessity for building cyberpower in the new era, and three relationships that need to be handled well were deeply analyzed.Some countermeasures and suggestions were put forward to further develop the advantages of the new nationwide system and promote the construction of a network power during the 14th Five-Year Plan period.关键词：cyberpower;new nationwide system;science and technology innovation;mobile communication663|959|0更新时间：2024-06-05
Comprehensive Review
- 摘要：With the continuous development of 5G, the era of the internet of everything is coming.Problems such as massive device connections, massive application requests, ultra-high network load and complex dynamic network environment pose great challenges to the optimization of 5G systems in the context of the internet of everything.Facing these challenges, artificial intelligence (AI) shows its unique advantages.Firstly, the advantages of deep learning driven AI algorithms in 5G system compared with conventional algorithms were briefly introduced.Then, the application of AI algorithms in multi-access edge computing (MEC) and mmWave massive multiple-input multiple-output (MIMO) system were described in detail, with advantages and disadvantages of each method being compared and analyzed.Finally, according to the existing research, the shortcomings of AI algorithms in 5G application scenarios were summarized and the future research directions were forecasted.关键词：5G;artificial intelligence;reinforcement learning;edge computing;mmWave massive MIMO2525|2142|0更新时间：2024-06-05
- 摘要：With the development of 5G commercialization, the number of 5G wireless base station sites has increased sharply, 5G core networks need to be deployed in regions/provinces/cities data centers, as well as the data centers were developing on a larger scale, the problem of energy consumption was becoming increasingly prominent.Based on the main proportion of energy consumption in the whole network, the energy efficiency evaluation methods of 5G access network, core network and data center was investigated.The AI-enabled energy-saving technology of base stations and pilot application scheme, 5G core network energy-saving methods by using AI, as well as the AI-enabled energy-saving technology of data centers and pilot application scheme were introduced, and the challenges and future research directions of energy-saving technology were finally discussed.The summary and prospect on the energy-saving technology of the overall communication system, will help to improve the understanding of energy efficiency and green network development.关键词：5G;AI;energy efficiency;access network;core network;data center1442|2303|0更新时间：2024-06-05
- 摘要：Existing network monitoring and fault repair mostly rely on rule systems or manual processing.However, the increase in network scale and the diversification of services make this approach difficult to deal with.With the rapid development of technology such as machine learning and deep learning, intelligent operation and maintenance theory has also made great progress, using artificial intelligence technology to enhance the intelligent ability of network operation and maintenance.KPI (key performance indicator) anomaly detection is an underlying core technology of intelligent operation and maintenance.A survey on the KPI anomaly detection technology was given.Firstly, the KPI data and KPI anomalies were described.Then the research progress of single-dimensional KPI and multi-dimensional KPI anomaly detection were introduced.Then, the deployment and application problems of KPI anomaly detection were analyzed.Finally, future research directions were discussed.关键词：intelligent operation and maintenance;KPI;anomaly detection1551|2212|0更新时间：2024-06-05
- 摘要：IoT terminals have the characteristics of large user base, many manufacturers and numerous scenarios.It is difficult to unify the standard of poor quality and to locate the segment in the routine maintenance process.Aiming at the above phenomenon, a business guarantee method based on behavior portrait was proposed.Firstly, based on the distribution characteristics of key indicators, a fingerprint model of enterprise quality deficit was constructed, and the idea of mean shift clustering in statistical learning was used to realize the accurate construction of quality deficit index system.Then, to solve the problem that it was difficult to distinguish between the measurement terminal and the poor quality terminal, and it was difficult to identify the weak coverage terminal, a single user poor quality behavior portrait was constructed to effectively ensure the accuracy of the model.Finally, the pilot and analysis were carried out in the current network environment to provide reference for the IoT business guarantee.关键词：Internet of things;poor quality identification;root cause analysis652|1136|0更新时间：2024-06-05
- 摘要：The voice service is one of the mainstream services under the telecommunications network.The mainstream voice service quality evaluation method in the industry is to compare the voice and audio of the transceiver and calculate the POLQA MOS, which is the standard benchmark for voice quality analysis.For telecom operators, perceive voice service quality efficiently without any infringement of user privacy, and carry out precise service quality assurance, is one of the key tasks.A system using mathematical statistics and neural network to learn the mapping between voice service feature data from network side and voice quality from user side to generate evaluation model with high accuracy and precision was proposed.On this basis, the system made use of data information from multiple fields including wireless network user level and cell level, to analyze reasons and work out solutions for poor service quality, so as to assure service quality efficiently and accurately.The result shows that the scheme has achieved good practical application results.关键词：VoLTE service;quality assurance;network intelligence1216|1344|0更新时间：2024-06-05
- 摘要：The popularity of deep learning and cloud computing has promoted the widespread application of computer vision in various industries.However, centralized cloud inference services have problems such as high bandwidth resource consumption, image data privacy leakage, and high latency.It is hard that satisfy demand which requires diversified computer vision application.The dual gigabit upgrade of the communication network will promote depth collaboration of computer vision cloud-edge algorithms.Aiming to study the computer vision inference mechanism based on cloud-edge collaboration.Firstly, the advantages and disadvantages of the mainstream cloud and edge computer vision inference models in recent years were analyzed and explained, and on this basis, research on the cloud-edge collaborative computer vision inference model framework and deployment mechanism was carried out, model distributed reasoning model segmentation strategy, cloud-side collaborative network deployment optimization strategy was discussed in detail.In the end, the challenge and prospect of deep learning cloud-edge collaboration inference in future was discussed through data collaboration, network partition collaboration, and business function collaboration .关键词：computer vision;deep learning,;cloud-edge collaboration886|1105|0更新时间：2024-06-05
- 摘要：Modulation recognition is one of the fundamental tasks for communications systems, which can be widely applied in various fields, such as cognitive radio, intelligent communications, radio surveillance, electronic warfare, etc.In recent years, deep learning (DL) based modulation recognition has attracted great attention due to its superiority in feature extraction and recognition performance.The techniques of DL based modulation recognition were systematically summarized.Firstly, some knowledge relevant to DL based modulation recognition was introduced.Then, the system architecture, data pre-processing methods, deep neural network structures, prevalent datasets and performance metrics of DL based modulation recognition were illustrated.Finally, the future directions of DL based modulation recognition were also discussed.关键词：deep learning;modulation recognition;data pre-processing;deep neural network1520|2312|0更新时间：2024-06-05
- 摘要：In view of the fact that the disguised speech detection algorithm based on local binary pattern (LBP) is not effective in detecting the spoofing attack from voice conversion, an anti-spoofing method based on completed local binary pattern (CLBP) was proposed.In this method, the spectrogram of speech signals is generated by the variable Q transformation (VQT) and used to train the true/spoofed speech classifier, so as to perform the detection of disguised speech.The experimental results demonstrate that the proposed anti-spoofing method based on the CLBP in the detection of voice conversion deception is better than the LBP-based algorithm, and when the parameter γ in VQT is set to 50, the detection system based on CLBP and SVM-RBF has the best performance for anti-spoofing the disguise speech.关键词：speaker verification;anti-spoofing;CLBP;VQT472|628|0更新时间：2024-06-05
Topic: Integration of Communication and AI
- 摘要：A key generation method based on wireless channel physical layer features is of great significance for improving security of wireless transmission.An orthogonal frequency division multiplexing (OFDM) communication system based on time division duplex (TDD) with multipath fading channels was considered.Utilizing the advantages of OFDM multicarrier and the channel reciprocity and combining the phase and amplitude information of channel frequency response (CFR), two algorithms for physical layer key generation were proposed.Theoretical analysis and experimental simulation show that the proposed algorithm has more consistent and smaller overhead in information negotiation, in addition, the proposed algorithm can increase the key length and enhance randomness, and has a better defense capability against eavesdropping and active attacks of the illegal user.关键词：wireless communication;OFDM system;physical-layer secret key generation;security577|883|0更新时间：2024-06-05
- 摘要：In uplink grant-free massive multiple-input multiple-output (mMIMO) systems, the performance of available methods for joint user activity and signal detection deteriorates when the correlation of receiving antennas or the number of active devices increases.Moreover, the available methods require the knowledge of noise power, which is often practically unknown.To address the above issues, combining approximate message passing with unitary transformation and expectation maximization algorithm to jointly implement user activity and signal detection was proposed.Different from the conventional approximate message passing algorithm, the proposed one assumes that the noise power was unknown.Firstly, by exploiting the approximate message passing algorithm with unitary transform, the distribution of transmitted symbols together with the distribution of noise power was obtained.Secondly, expectation maximization algorithm was applied to estimate the user activity.Finally, the signal detection was implemented by deriving the posterior distribution of the decoupled signal belongs.Simulation results show that the proposed method is better than the traditional method in joint user activity and signal detection.关键词：massive multiple-input multiple-output;user activity detection;signal detection;approximate message passing with unitary transformation270|410|0更新时间：2024-06-05
- 摘要：In order to solve diverse quality and privacy leakage of perceived data in fog-cloud integrated internet of things (IoT), a streaming encryption-based privacy-preserving truth discovery mechanism for IoT was proposed.Firstly, by utilizing shuffling and streaming encryption algorithms, the ground truths and the weights were anonymously updated on the cloud server and fog server, respectively, so that the collusion attacks between malicious attackers and cloud or fog servers could be resisted to defend against privacy leakage of IoT devices.Secondly, by adopting the Softmax function, the device weights were calculated on fog server, which reduces the error rate for calculating the ground truths.Finally, the theoretical analysis proved that the mechanism could protect privacy of the devices.And, the experimental results demonstrate that the proposed mechanism is an effective privacy-preserving trust discovery mechanism for large-scale IoT devices, which can outperform existing ones in computing efficiency.关键词：IoT;lightweight;privacy-preserving;truth discovery227|396|0更新时间：2024-06-05
- 摘要：The traditional feature selection method only considers the linear correlation between variables and ignores the nonlinear correlation, so it is difficult to select effective feature subsets to build the effective model to predict the number of faults in software modules.Considering the linear and nonlinear relationship, a feature selection method based on maximum information coefficient (MIC) was proposed.The proposed method separated the redundancy analysis and correlation analysis into two phases.In the previous phase, the cluster algorithm, which was based on the correlation between features, was used to divide the redundant features into the same cluster.In the later phase, the features in each cluster were sorted in descending order according to the correlation between features and the number of software defects, and then the top features were selected to form the feature subset.The experimental results show that the proposed method can improve the prediction performance of software defect number prediction model by effectively removing redundant and irrelevant features.关键词：software defect number prediction;feature selection;maximum information coefficient524|608|0更新时间：2024-06-05
- 摘要：Abtract: The development of raw milk is an important direction for the development of China’s dairy industry, and a traceability system for the raw milk industry was proposed for the development of the entire industry crucially.The characteristics of the raw milk industry were analyzed and four major problems were proposed as the timeliness, the problems found after the fact, the difficulty in tracing the victims, the quality control system, such as difficulties in gaining trust, which were the main characteristics that distinguish the raw milk industry from other agricultural industries, and leaded to traceability in traditional agriculture.The mechanism or even the popular blockchain-based traceability mechanism for agricultural products could not meet the traceability requirements of the raw milk industry.Based on this finding, RMChain, a traceability system for raw milk supply chain system scheme, was designed to meet the requirements of the existing blockchain-based traceability mechanisms in the raw milk industry.In addition to the various advantages of the chain traceability mechanism, it was also optimized specifically for the characteristics of raw milk, which made it easy for users to trace the product and facilitate the traceability of the milk.The tracking and location of problem milk and consumer compensation effectively improved the traceability status of the fresh milk industry.For the problem of large files seriously affecting the performance of the blockchain, a multi-party storage model based on the importance of data was also designed.The feasibility of RMChain was verified.关键词：RMChain;blockchain;raw milk;multi-party storage;access mechanism539|1116|0更新时间：2024-06-05
Research and Development
- 摘要：With the continuous refinement of data types, user roles and application requirements, as well as the complex data storage and flow scenarios of big data, the requirement of big data security is higher and higher.Starting from the security characteristics and operation practice of big data, the security characteristics and technology development trend of big data were analyzed, the construction and operation practice of China Telecom’s big data security defense system with “data and people” as the core was systematically summarized.Some thoughts and prospects for the introduction of new technologies were also raised such as blockchain, federated learning, artificial intelligence and zero trust in data security circulation, data security risk monitoring and data access control.关键词：big data;data security;blockchain;federated learning;artificial intelligence;cloud computing420|1381|0更新时间：2024-06-05
- 摘要：Technical solutions for fibre-optic home networking, including ITU-T standard G.hn, PON access networks, and IEEE fibre-optic Ethernet, were introduced, and they were analyzed and compared from the aspects of technical characteristics, standardization, industrial chain, future development, etc.Proposals on home gateway location and drop fibre cable termination were also given, and the experiment results show that the proposed solution can improve the Wi-Fi coverage of the home gateway and the wireless access rate.关键词：home networking;fibre;G.hn;fibre-optic Ethernet;PON;drop fiber cable termination385|778|0更新时间：2024-06-05
Engineering and Application
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