最新刊期
卷 9 ， 期 1 ， 2025
- 摘要：With the rapid development of communication and networking technologies in satellite networks, cross-domain heterogenous satellites establish connectivity with each other and provide various data services, which bring serious challenges to satellite networks, such as inaccurate trust evaluation and cross-domain mistrust of satellites. Therefore, it is particularly important to build a trust system to evaluate trust of satellites. To evaluate the trustworthiness of satellites based on cross-domain network situation and multi-dimensional trust opinions, a cross-domain network situation-based trust management in multiple constellations was proposed. The multi-dimensional trust opinions in multiple constellations was considered, and quantile-quantile plot trust filtering mechanism was designed. Then, trust opinions and trust thresholds were weighted to identify the trustworthiness of satellites. Experiment results show that the proposed method outperforms baselines in terms of accuracy, precision, recall, and F-value.关键词：satellite Internet;satellite constellation;trust management303|271|0更新时间：2025-04-21
- 摘要：The rapidly increasing number of Internet of things devices poses significant challenges to the service capabilities of terrestrial networks. Ultra-dense low earth orbit satellite constellations have emerged as a promising solution to address the limited coverage area of terrestrial networks and the insufficient computing capabilities of user terminals. By establishing a satellite-to-terrestrial connection model, the average computational resources and backhaul capacity available to ground users were analyzed and a multi-objective optimization problem for designing ultra-dense LEO constellations was modelled, aiming to minimize the total number of satellites while meeting the heterogeneous quality of service (QoS) requirements for user task offloading. A two-stage constellation design algorithm was proposed, which firstly optimized the resource allocation strategy of computational satellites and then determined the constellation parameters under optimal QoS conditions. Simulation results validate the accuracy of the theoretical model and analyze the impact of orbital altitude, task volume, and coverage requirements on constellation design. Compared with the Kuiper, OneWeb, and SpaceX constellations, the proposed constellation achieved an average coverage rate increase of 29.52%, 48.73%, and 34.82%, respectively, with the same number of satellites.关键词：satellite IoT;LEO satellite constellation;satellite-based computing network;multi-objective optimization472|427|0更新时间：2025-04-21
- 摘要：Satellite communication systems based on multi-beam technology can provide strong support for massive machine type communication application scenarios of 5th generation mobile communication technology as well as for next-generation communication visions, such as access and transmission of massive Internet of things (IoT) devices and ubiquitous communication. In the satellite IoT-oriented massive terminal application scenario, the traffic distribution of IoT terminals is non-uniform. Further, improving the communication resource utilization efficiency of multi-beam satellite systems has become an important research direction. Multi-beam scheduling and wireless resource allocation are the key issues to improve the resource utilization and fairness of the system. Firstly, The coupling between beam scheduling and wireless resource allocation was analyzed. Subsequently, a joint optimization strategy for flexible beam scheduling and resource allocation was proposed. The beam scheduling algorithm based on separated swarm optimization (SSO-BSA) was proposed to solve the flexible beam pointing coordinates, and an on-demand resource allocation algorithm based on service value degree (ORAA-SVD) was designed to provide flexible resource allocation for beams and IoT terminals. The simulation verifies the performance of the proposed algorithm and the benchmark algorithms under different traffic intensities for each metric. The simulation results show that the proposed algorithm has better performance than that of the benchmark algorithms in terms of fairness and resource utilization.关键词：satellite IoT;multi-beam satellite;flexible beam scheduling;resource allocation;joint optimization370|348|0更新时间：2025-04-21
- 摘要：With the development of artificial intelligence and automation technologies, an increasing number of machines are being applied in emergency rescue operations in harsh or high-risk environments. This makes it necessary to develop satellite-terrestrial-integrated wide-area rapid-response communication networks based on ground bases, unmanned aerial vehicles, and satellites, so as to build a "nervous system" for rescue machines. Machine rescue typically relies on four key components: on-site sensing, communication, situational computing, and control, which operate in reflex-arc-like sensing-communication-computing-control (SC3) closed loops. Therefore, a new wide-area quick-response communication design approach was proposed, which oriented SC3-closed-loop structures. Firstly, by considering the coupling of the different components in the SC3 closed loops, an "entropy matching" model based on closed-loop negentropy was proposed to optimize closed-loop control performance. Based on the proposed model, the design principles for communication systems in scenarios involving parallel operation and complex couplings of multiple SC3 loops were further explored. Simulation results under typical parameters demonstrate that the proposed system design approach that focuses on the close loop structure as the fundamental unit, can effectively integrate heterogeneous components and optimize the performance of machine rescue, thus greatly improving the network efficiency compared with the traditional communication-link-oriented design method.关键词：emergency rescue;machine;satellite-terrestrial integration;wide-area quick-response communication;"entropy matching" model;system design223|281|0更新时间：2025-04-21
- 摘要：As a new type of network architecture, the space-air-ground integrated network can effectively improve the network coverage and service quality, and is the key support for the realization of the Internet of everything in the future 6G. Addressing the issues of inefficient computational resource allocation and underutilization of unmanned aerial vehicle(UAV) within such networks,a joint trajectory optimization and computation offloading strategy was proposed for the space-air-ground integrated network. Firstly, the correlation relationship between the UAV's hovering model and the ground terminal was analyzed. Secondly, a system energy minimization problem was established by jointly considering the UAV trajectory, the matching factor between the UAV and the ground terminal, the task offloading ratio and the computational resource allocation. Finally, a particle swarm optimization algorithm combined with a genetic algorithm operator was used to jointly optimize the UAV trajectory and the computational offloading scheme. The simulation results show that the proposed algorithm has good convergence and can reduce the system energy consumption by about 33.5% with good performance.关键词：space-air-ground integrated network;UAV trajectory optimization;computational task offloading;mobile edge computing382|206|0更新时间：2025-04-21
- 摘要：As an essential component of the space-air-ground integrated network, the space-based network has advantages such as wide coverage, high throughput, and strong disaster resilience, and is widely applied in emergency communication and other fields. In the scenario of emergency rescue, a large amount of high-time-sensitive data is generated within a short period in the disaster-stricken area. It is urgently necessary to be quickly relayed back via the space-based network to reduce losses. However, the network resources of the space-based network are limited, and data transmission needs to follow constraints such as time windows, resulting in high transmission delay and significantly reducing the emergency response capacity of the space-based network. Therefore, an emergency task scheduling mechanism for space-based networks was proposed to achieve precise matching of emergency tasks with the limited resources of the space-based network to minimize the transmission delay of emergency tasks. Firstly, the emergency task scheduling problem was modeled as an integer programming problem to minimize the maximum transmission delay of emergency tasks. Secondly, a new efficient encoding method was proposed to compress the solution space and provide a guarantee for the efficient solution of the problem. Furthermore, a high-efficiency scheduling strategy was proposed by combining global search and local search, that is, integrating the whale optimization algorithm into the framework of the genetic algorithm for local search, which reduces the maximum transmission delay of emergency tasks. Simulation results show that the proposed algorithm has good convergence and can effectively reduce the maximum transmission delay of emergency tasks, enhancing the emergency data transmission performance of the space-based network.关键词：space-air-ground integrated network;genetic algorithm;whale optimization algorithm;resource allocation;data transmission247|431|0更新时间：2025-04-21
- 摘要：Satellite-based Internet of Things is critical to realize the intelligent connection of all things in 6G. However, the dual constraints of spectrum resources and onboard payload capabilities present significant challenges in enhancing access efficiency for a massive number of users. To deal with the problem of low multi-user detection efficiency in satellite-borne receivers utilizing sparse code multiple access (SCMA), a state position information based log message passing algorithm (SPI-Log-MPA) by taking the variability of the transmission probability of codewords during the iterative process into account was proposed. Through reducing unreliable codewords, decoding stable users in advance, and implementing a reward and penalty mechanism for unstable users, the proposed algorithm significantly improves detection efficiency. In addition, a two-phase improved algorithm was also proposed by optimizing both the phase setting and state position information matrices, which further accelerates the algorithm convergence. Complexity analysis and simulation results demonstrate that the proposed two algorithms can achieve lower computational complexities while maintaining the bit error rate (BER) performance.关键词：satellite Internet of things;sparse code multiple access;multi-user detection;message passing algorithm;state position information211|271|0更新时间：2025-04-21
- 摘要：In integrated satellite-terrestrial networks, satellite and terrestrial heterogeneous networks employ spectrum sharing technology to enhance system resource utilization. However, this approach results in mutual co-frequency interference between satellite and terrestrial communication links, degrading overall communication performance. The concept of satellite-terrestrial heterogeneous symbiotic secure communication is proposed to convert detrimental interference into a beneficial resource, making the safe transmission of satellite-terrestrial heterogeneous links form a mutually beneficial symbiotic relationship. The need for secure satellite-terrestrial transmission under eavesdropping threats was addressed by theoretically analyzing the secrecy rate and secrecy outage probability of the symbiotic secure communication system. A theoretical lower bound for the secrecy rate was derived, and simulation results validated the theoretical analysis. The findings indicate that the satellite and terrestrial links can be leveraged to achieve secure transmission through reciprocal interference, without the need for additional resource allocation.关键词：satellite-terrestrial heterogeneous network;symbiotic security;secure transmission;secrecy performance analysis191|228|0更新时间：2025-04-21
- 摘要：Maritime meteorological sensor networks (MMSN) differ from traditional land-based networks, presenting new challenges for intrusion detection tasks. A satellite-based detection method for maritime meteorological sensor networks was designed using satellite communication technology. The network structure and characteristics of maritime meteorological sensor networks were analyzed in this method. Research was conducted on improving the detection performance of intrusion detection systems (IDS) from the perspectives of algorithms and loss functions. A maritime meteorological sensor network intrusion detection method based on the fusion of deep reinforcement learning models was proposed. Firstly, light gradient boosting machine (LightGBM), 1D conventional neural network (1D-CNN), and 2D conventional neural network (2D-CNN) classifiers with improved loss functions were established to comprehensively extract the temporal and spatial features of the intrusion detection data in maritime meteorological sensor networks. Secondly, a model fusion method was designed based on the stacking and averaging principles of model fusion technology. This method leveraged the strengths of the base classifiers and mitigated their weaknesses, thereby enhancing the overall system detection performance. Finally, simulation experiment results demonstrate that the proposed intrusion detection method can effectively improve the detection performance for a few types of attack data and enhance the robustness of the system.关键词：MMSN;IDS;model fusion;focal loss function168|148|0更新时间：2025-04-21
Topic: Satellite Internet of Things
- 摘要：The large-scale deployment of edge computing and cloud computing infrastructures has brought both opportunities and challenges to the realization of the green and low-carbon industrial Internet of things (IIoT). Aiming at time-sensitive IIoT services, a carbon emission optimization method based on cloud-edge collaboration was proposed. Firstly, an in-depth analysis was conducted upon the carbon emissions of time-sensitive services in IIoT under a cloud-edge collaborative framework, and a comprehensive carbon emission model including cloud computing centers, edge nodes, and backbone network data transmission was established. Based on this, considering low-latency constraints, a task offloading optimization algorithm based on the alternative direction method of multipliers (ADMM) was designed to minimize the overall carbon emissions of the considered IIoT system. To verify the effectiveness of the proposed method, extensive numerical experiments were conducted using real carbon intensity data from different regions of the United States. The results show that the proposed method can significantly reduce the carbon emissions of the considered IIoT system while guaranteeing low latency for services, and realizing the complementary advantages of cloud-edge collaboration.关键词：carbon emission;time-sensitive;IIoT;cloud-edge collaboration203|141|0更新时间：2025-04-21
- 摘要：Sensors can harvest energy from the surrounding environment, but the energy supply is always unstable. To achieve effective power control of sensors and enhance their performance metrics, such as data throughput, while ensuring long-term life, a reinforcement learning-based power control strategy was designed. Assume an end-to-end communication system, the sender harvests energy, stores it in a battery for data transmission, and continuously buffers data. In practical scenarios, the arrival of energy and data is random and unpredictable. In this study, the current state was only observed via the sender, which included harvested energy, battery level, collected data, data cache level, and channel gain. Decisions were made solely based on these limited observations. The soft actor-critic (SAC) algorithm was used to control transmission power, with an appropriate reward function and action clipping method. Experimental results demonstrate that the proposed algorithm outperformes baseline strategies and approaches the theoretical optimal in certain scenarios.关键词：SAC;wireless sensor network;energy harvesting;reinforcement learning;power control241|359|0更新时间：2025-04-21
- 摘要：Intelligent reflecting surface (IRS) is an effective technology that can enhance millimeter-wave communication performance and address transmission challenges. However, conventional methods require accurate channel state information when jointly optimizing precoding and IRS phase shifting, and pilot consumption increases with the number of base station antennas and IRS components. To reduce pilot overhead, a transmission design scheme based on multi-armed bandit (MAB) was proposed. Specifically, in IRS-assisted single antenna user downlink communication systems, the problem of IRS phase shift design and precoding beamforming was decoupled through a dual time scale approach. Using the contextual MAB algorithm in reinforcement learning, the IRS phase shift matrix was designed within each coherent time block based on contextual information and reward feedback. Next, the zero forcing method was used to design precoding, and the greedy method was introduced to select actions at each moment to avoid getting stuck in local optima. The simulation results show that the proposed algorithm can achieve higher effective spectral efficiency than the existing algorithms.关键词：millimeter-wave;IRS;MISO;contextual MAB176|176|0更新时间：2025-04-21
- 摘要：The South China Sea region is home to abundant shellfish resources, yet the information about these resources is currently dispersed across various books and websites. To ease the manual integration of this information, knowledge extraction processes typically rely on self-trained deep learning models. However, these models often require extensive data labeling and expert evaluation, and their text extraction performance tends to have limited generalization. A solution by utilizing ChatGPT was proposed to build a knowledge service system for shellfish in the South China Sea region. By integrating ChatGPT with query templates for shellfish knowledge, the reliance on labeled datasets for text extraction was significantly reduced, yielding favorable results. On this basis, the construction and visualization of a shellfish knowledge graph was successfully completed, along with the development of an intelligent question-answering system using Harbin Institute of Technology's language technology platform (LTP) 4.0. This research provides valuable insights into the application of large-scale artificial intelligence models for information collection and processing.关键词：the South China Sea shellfish;knowledge graph;ChatGPT;intelligent question answering180|201|0更新时间：2025-04-21
- 摘要：A robust secure beamforming (BF) algorithm based on imperfect channel state information of eavesdroppers was proposed to improve the secrecy performance for satellite-terrestrial integrated network (STIN), in which satellite network organically coexisted with the terrestrial network. Firstly, for the scenario in which satellite and terrestrial networks shared the spectral resources and adopted BF to serve Earth stations (ESs) and terrestrial users, respectively, a joint optimization problem was formulated to maximize the achievable secrecy rate threshold of the ES, whereas satisfying the quality of service (QoS) requirements, the secrecy outage probability and the transmit power budgets. To tackle this mathematically intractable problem, the zero-forcing criterion was employed to reduce complexity, and then an iterative algorithm based on the Bernstein inequality and the Dinkelbach method was proposed to obtain satisfactory solutions. Finally, computer simulation results confirm that the proposed algorithm achieves superior performance with a fast convergence rate, and can strike a favorable balance between secrecy performance and computational complexity.关键词：STIN;beamforming;physical layer security;imperfect channel state information193|402|0更新时间：2025-04-21
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