最新刊期
卷 41 ， 期 2 ， 2025
- 摘要：In the development and application of the space-air-ground integrated network (SAGIN), the intricate network structure and varied resources significantly affect the service capabilities of SAGIN. It is a challenge in the popularization of SAGIN to allocate and optimize resources to improve the performance in heterogeneous networks. Firstly, the architecture and functions of SAGIN were introduced. Subsequently, several typical issues in resource optimization were summarized and analyzed, along with the common performance objectives, modeling and optimization methods. Finally, the challenges in network optimization were analyzed, and the future research direction in this field was discussed.关键词：SAGIN;network architecture;resource allocation;performance optimization1606|1509|0更新时间：2025-03-11
- 摘要：Ultraviolet Ad-Hoc network integrates the advantages of ultraviolet communication, including low background radiation, non-line-of-sight (NLOS) communication, high local security, and strong adaptability to various climatic conditions, along with the benefits of rapid deployment and high flexibility in Ad-Hoc network. These features make it a key technology for the practical development of ultraviolet communication. Although significant progress has been made in ultraviolet Ad-Hoc network research, several challenges remain. These include self-interference issues in the physical layer due to the full-duplex mode, node energy consumption and synchronization problems in the data link layer’s media access control (MAC) protocol, and poor network connectivity and scalability of routing protocols in the network layer. Based on this, the research status in the physical layer, data link layer, and network layer of ultraviolet Ad-Hoc network were reviewed, and the future development directions were also prospected.关键词：ultraviolet Ad-Hoc network;physical layer;MAC protocol;routing protocol736|886|0更新时间：2025-03-11
Review
- 摘要：By integrating cloud, edge, and device resources, the computing power networks provide integrated services such as data sensing, transmission, and computation for the digital economy. However, their rapid development is accompanied by pressing challenges of high energy consumption. The task offloading technology is an important solution that allocates computing tasks properly, improves user experience, reduces transmission latency and energy consumption, making it a crucial solution. In order to reduce the overall energy consumption of computing power networks and achieve green, sustainable development, an intelligent matching task unloading scheme based on matching mechanism was proposed. By matching tasks and node resources in the computing power network, the scheme minimized energy consumption caused by inefficient task offloading and enhances overall network performance. Furthermore, a deep learning approach combining reinforcement learning with neural networks was employed to further optimize the offloading strategy, significantly reducing network energy consumption. Simulation experiments demonstrate that the proposed method is effective and reliable.关键词：computing power network;intelligent matching;reinforcement learning;deep learning516|694|0更新时间：2025-03-11
- 摘要：Automatic modulation recognition technology plays an important role in the field of wireless communication. Existing automatic modulation recognition models perform well in recognition accuracy, but most methods have difficulty in achieving an ideal balance between the number of parameters and model performance. To solve this problem, a multi-channel lightweight modulation recognition (MCLMR) network was designed. The amplitude, phase, frequency, and maximum spectral density of the zero center normalized instantaneous amplitude were taken as inputs by the MCLMR network. A separable convolution module was used to cleverly combine four inputs to dig deeper into the spatial correlation of the four inputs. The gated recurrent unit-multi-head self-attention (GRU-MHSA) module multi-head self-attention (MHSA) based on time fading and gated recurrent unit (GRU). to further extract the temporal correlation. Signal features in spatial dimension and time dimension were extracted by the combination of separable convolution module and GRU-MHSA module. Simulation results on the benchmark dataset RML2016.10a show that the proposed method is superior to other 9 typical methods. At 2~18 dB signal-to-noise ratio, the average recognition accuracy reaches 92.39% and the highest recognition accuracy reaches 93.36%. This shows that MCLMR not only has a small number of parameters and low computational complexity, but also has excellent performance in recognition accuracy.关键词：modulation recognition;lightweight network;multi-module integration;multi-head attention mechanism424|691|0更新时间：2025-03-11
- 摘要：To address the time-consuming issue of audio video coding standard 3(AVS3) intra frame prediction, an intra frame prediction parallel algorithm based on the cost of the minimum coding unit (CU) was proposed. Firstly, the images were divided into the smallest CUs. Secondly, the original pixels were used as references to calculate the intra-mode cost of all smallest CUs in parallel. Finally, the intra-mode priorities of other CUs were quickly calculated by means of cost combination, and the optimal 15 modes were selected to enter the rough mode decision (RMD) stage. Additionally, three optimization strategies were proposed to reduce the errors caused by the proposed method.The original pixels were preprocessed before prediction to better approximate reconstructed pixels; the cost function of intra-frame prediction was modified to more accurately estimate the priority of each mode; and for larger CUs, the cost of the top-level CU was used as a reference to reduce cumulative errors during CU combination. Experimental results demonstrate that while the code rate is reduced by only 0.35%, the overall encoding time is reduced by 27%, effectively reducing the time required for intra frame prediction and ensuring the encoding quality.关键词：AVS3;intra prediction;parallel computing226|423|0更新时间：2025-03-11
- 摘要：To enable the rapid deployment of mobile base stations and optimize operations in urban environments, a network coverage planning and optimization method based on multi-agent reinforcement learning was proposed. This method was designed to address the issue of reducing network coverage due to user mobility and the interference caused by densely deployed base stations. During the deployment phase, a hybrid optimization algorithm combining particle swarm and fruit fly optimization was employed to determine the optimal base station locations while minimizing construction costs. In the operational phase, a joint optimization algorithm featuring multi-agent deep deterministic policy gradient and lightweight gradient boosting algorithms was designed to optimize base station locations based on terminal signal strength. Additionally, when performance indicators failed to meet requirements, new base stations were automatically added in suitable locations. Simulation results demonstrate that the proposed algorithm outperforms traditional heuristic algorithms in terms of coverage and service rates, while the designed joint operational optimization algorithm shows superior recovery capability in network coverage compared to the traditional k-means clustering algorithm, adapting to a wider range of scenarios.关键词：movable base stations;base station location;planning;optimization;multi-agent reinforcement learning453|550|0更新时间：2025-03-11
- 摘要：To address the limitations of cooperative spectrum sensing algorithms based on convolutional neural network (CNN), including simple network structures, insufficient feature extraction, and reduced sensing performance, a cooperative spectrum sensing algorithm based on residual attention dense network (RADN) was proposed. The basic residual block was enhanced and attention mechanisms across receptive field, channel, and spatial dimensions were introduced. By integrating residual and dense connections, a powerful deep feature extraction framework was formed, which was termed residual in dense (RID), its feature extraction and sensing performance had been significantly boosted. Experimental results show that under low signal-to-noise ratio (SNR) conditions, the RADN algorithm outperforms traditional deep learning methods, adapting well to various modulation schemes and achieving high detection probability and robustness.关键词：cooperative spectrum sensing;CNN;attention mechanism;dense connection;residual connection170|350|0更新时间：2025-03-11
- 摘要：Due to the particularity and uniqueness of computing force requests, how to find an effective path set with non-intersecting transmission links for a group of heterogeneous computing force requests, so that the group of requests can reach their respective destination computing force nodes, and thus allocate computing force resources for the group of requests, is a key issue facing current computing first networks. Firstly, the routing problem of heterogeneous computing force requests was analyzed and was transformed into an nondeterministic polynomial (NP)-complete problem through modeling. An optimized genetic algorithm to address this issue was proposed. This algorithm was designed from both local and global perspectives: to ensure fast convergence to the target solution locally, a single parameter satisfying the randomness strategy was used to initialize the population, making it widely dispersed in the solution space; adopting a multi-parameter solution (or path) balanced selection strategy for selection operations, making the selected population rich and diverse; adopting a two-layer crossover strategy for crossover operations, with the aim of expanding the breadth of global search; adopting a multi parameter random single point mutation strategy for mutation operations, with the aim of deepening local search capabilities. To ensure that the paths did not conflict globally, a path distribution strategy was adopted. By constructing a solution matrix and utilizing evaluation functions, random selection of feasible solutions, and the principle of low demand priority avoidance, a set of feasible solution sets was ultimately found. The experiment verifies that algorithm has been optimized by an average of 8.85%, 15.51%, and 17.03% in terms of transmission success rate, convergence delay ratio, and load balancing compared to the IGAGCT algorithm and RBDQN algorithm, and 10.41%, 16.5%, and 16.81%, respectively from three aspects: heterogeneous request success rate, algorithms convergence delay rate, and load error rate of computing first networks.关键词：computing first network;heterogeneous computing force request;genetic algorithm;computing force routing;NP-complete problem330|695|0更新时间：2025-03-11
- 摘要：In received signal strength (RSS)-based localization, systematic bias in sensor measurements and anchor position uncertainty will heavily affect the localization result. To deal with this problem, a robust localization method with uncertain measurements was proposed. Firstly, the measurement model for the localization problem was formulated, where the sensor measurements contained biases and the anchor positions were uncertain. Secondly, the estimation problem of target location was provided using the criterion of maximum likelihood. Finally, proper approximation and relaxation were applied to convert the nonconvex estimation problem of target location to convex semidefinite programming (SDP) problem such that the global optimum could be guaranteed. Simulation results show that the proposed method outperforms some existing methods in the literature for different scenarios and conditions in terms of localization accuracy, of which the improvement achieves up to 50%. It verifies the robustness of the proposed method, and shows that it can efficiently reduce the negative effect of uncertain measurements on localization accuracy.关键词：received signal strength;target localization;uncertain measurement;semidefinite programming289|388|0更新时间：2025-03-11
- 摘要：The all-digital massive multiple-input multiple-output (MIMO) system has a wide range of application prospects in mobile communication due to its advantages such as low cost, strong signal processing capability, and flexible configuration. On the basis of studying the one-bit sigma-delta modulation structure, the ergodic achievable spectral efficiency of the system was analyzed and compared with the one-bit structure through simulation. The results show that the one-bit sigma-delta modulation structure has higher spectral efficiency, is suitable for massive MIMO systems, and the analysis results are accurate.关键词：all-digital massive MIMO;one-bit sigma-delta modulation;spectral efficiency241|206|0更新时间：2025-03-11
- 摘要：In order to improve the accuracy of intrusion detection, considering the advantages of autoencoders in learning features and the mature application of residual networks in constructing deep models, an improved residual network intrusion detection model based on feature dimensionality reduction (IRFD) was proposed. The goal of the proposed IRFD was to solve the issue of low detection accuracy of traditional machine learning based intrusion detection models. In IRFD, the stacking denoising sparse autoencoder was employed to reduce the dimensionality of features and extract effective features. The convolutional attention mechanism was used to improve the residual network and form a classification network that could extract key features. Two typical intrusion detection datasets were employed to verify the detection performance of the IRFD. Experimental results demonstrate that the detection accuracy of the proposed IRFD on the both UNSW-NB15 and CICIDS 2017 datasets are over 99%, with F1-score of 99.5% and 99.7%, respectively. Compared with the state-of-the-art models for the intrusion detection, the accuracy, precision, and F1-score performance of the IRFD were significantly improved.关键词：network attack;intrusion detection model;stacking denoising sparse autoencoder;convolutional attention mechanism;residual network265|581|0更新时间：2025-03-11
Research and Development
- 摘要：In order to meet the demand for low-carbon development of wireless networks, it is necessary to summarize and prospectively plan the development direction of energy-saving in wireless networks. Firstly, the current status of energy saving in wireless networks were summarized. Secondly, the research on wireless network energy efficiency assessment standards of domestic and foreign standardization organizations were sorted out, and a multi-level, multi-dimensional, multi-scenario, and evolvable wireless networks energy efficiency index system was proposed to optimize the wireless networks energy efficiency evaluation method, and to adapt to the development characteristics of green wireless networks, such as “low energy consumption, high energy efficiency, and excellent perception”. Finally, based on the wireless network energy-saving system, the corresponding energy-saving schemes were summarized and analyzed in the stages of wireless networks planning, construction, operation&maintenance, and optimization. It provides a reference for building a green low-carbon wireless network with both energy efficiency and performance.关键词：wireless network;green and low-carbon;intelligent energy saving;energy efficiency;energy consumption510|361|0更新时间：2025-03-11
- 摘要：China’s power industry has gone through a period of rapid development. With the transformation of the global energy structure, the development goal of building a new type of power system was proposed, which pointed out the direction for the next stage of power technology development. However, few people have conducted research on the maturity evaluation method of China’s power technology. A method for predicting the maturity of power technology based on the Gartner Hype Cycle was proposed. Firstly, the maturity curve was decomposed into two factors: research popularity and technological development. Then, fitting was performed on the literature and patent search data of power technology, Logistpk and Slogistic curve models were established to characterize the development process of the two factors. The correctness of the models was verified by combining the current status of the six major fields of technology in the new power system. Finally, based on the synthesis of research popularity and technology development curves, a maturity model for power technology was obtained, and the maturity period of power technology development was predicted.关键词：electric power technology;new power system;maturity;technological development;scientific literature;patent;curve fitting435|1189|0更新时间：2025-03-11
- 摘要：The major factors influencing the selection of locations for big data centers were firstly analyzed, with a focus on the issues of site selection and scale planning. Based on expert evaluations, a site selection evaluation model was constructed using the analytic hierarchy process (AHP), resulting in the establishment of general evaluation criteria. Subsequently, an investigation was conducted among 48 key cities nationwide according to the site selection evaluation model, yielding an overall score and ranking for each city. Further analysis was carried out on the elements of scale design for big data centers, leading to the proposition of a scale design model. The aim of this process is to provide a reference for the construction and deployment of big data centers.关键词：location analysis;scale design;evaluation model384|875|0更新时间：2025-03-11
- 摘要：In recent years, unmanned aerial vehicles (UAVs) have been widely used in the field of network link monitoring due to their low cost and high flexibility. However, the characteristics of high mobility and limited battery capacity of UAV impose serious challenges on real-time and high benefit processing of monitoring tasks. The scenario of link anomaly monitoring through drones in smart power was taken as an example. Considering the joint optimization of task offloading and migration, a task processing model based on “communication-calculation-caching” resource collaboration was constructed in order to meet the needs of different monitoring scenarios, which took into account the communication resources, computing resources, and storage resources of cloud, edge and end nodes. Two link anomaly monitoring schemes based on “communication-calculation-caching” resource collaboration with optimal benefit and optimal delay were proposed. The inherent mechanism of collaborative task processing based on “communication-calculation-caching” resources was revealed through simulation experiments. The results indicate that the proposed link anomaly monitoring scheme has higher task processing benefit or lower task processing delay compared to traditional link anomaly monitoring scheme based on “communication-calculation” resource collaboration.关键词：unmanned aerial vehicle;link monitoring;“cloud-edge-end” networking;resource collaboration;multi-access edge computing286|293|0更新时间：2025-03-11
Engineering and Application
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