摘要:The space-air-ground integrated network, as a key technology in 6G, faces challenges such as node heterogeneity and service diversity when integrating the space-based, air-based, and ground-based networks. These challenges subsequently lead to issues such as the resource allocation, competition, and failure risks. Based on this, the task deployment and recovery of the space-air-ground integrated network focusing on software defined network (SDN) and network functions virtualization (NFV) were addressed. Firstly, the space-air-ground integrated network system architecture was elaborated, introducing the composition of each layer of the network, the principles of SDN and NFV, as well as their related applications. Subsequently, in response to the above-mentioned challenges, based on the service function chain technology, corresponding strategies including the task-oriented service function chain optimized deployment, dynamic scheduling achieved through intelligent algorithms, and failure recovery accomplished via a matching game algorithm were proposed. Finally, a use case was constructed, setting node deployment and service function chain modeling. The effectiveness of the proposed strategies in improving the completion efficiency of service function chains and dealing with resource failures was verified, providing a theoretical basis for the resource allocation for the space-air-ground integrated network.
关键词:space-air-ground integrated network;SDN;NFV;service function chain;resource allocation
摘要:To meet the diverse and flexible service demands of heterogeneous networks across various industries, building an on-demand intelligent network slicing and orchestration system that integrates terrestrial and satellite networks has become a crucial direction for future network development. Through resource orchestration and logical isolation, network slicing can effectively support differentiated service requirements in satellite-terrestrial networks. Traditional network orchestration technologies in satellite-terrestrial networks often face challenges such as low orchestration efficiency, difficult resource scheduling, and poor service assurance when dealing with dynamic and complex scenarios. Intent-driven networks, leveraging natural language understanding technology and closed-loop dynamic feedback mechanisms, can provide adaptability and intelligence for satellite-terrestrial networks. Based on this, an intent-driven satellite-terrestrial network slicing orchestration architecture and its key technologies were proposed. Subsequently, an intent-driven satellite-terrestrial network intelligent orchestration experimental platform was established, which specifically demonstrated the entire process from user intent input to network slice instantiation completion. A comparison of the average instantiation time of three types of network slices was conducted to evaluate the effectiveness of the proposed intelligent orchestration system. The experimental results verified the adaptability and efficiency of intent-driven networking technology in the intelligent orchestration of satellite-terrestrial networks.
摘要:With the rapid development of 6G communication technology, integrated sensing, computing, and communication (ISCC) has become a key driving force in the evolution of space-air-ground integrated network. Starting from the core concept of ISCC, its critical role in space-air-ground integrated network was discussed, and a multi-level management and orchestration network architecture empowered by ISCC was proposed. Key technologies of this architecture were analyzed. Finally, the current challenges faced in this field were summarized, and future development trends were prospected, aiming to provide valuable reference and insights for the construction of space-air-ground integrated network in the 6G era.
摘要:In order to meet the demand for real-time and highly reliable data transmission, the Ethernet standard for terrestrial networks introduces time-sensitive networking (TSN), which effectively reduces delay jitter by the means of traffic shaping and traffic scheduling. However, the deployment of terrestrial networks is limited by environmental factors, and it is difficult to cover remote areas and airborne service objects, which can’t meet the strict requirements for delay jitter. Considering that low-orbit satellite networks have the advantage of wide-area three-dimensional coverage, the applicability assessment of TSN technology in low-orbit satellite networks was carried out. OMNeT++ was used to construct a simulation platform for time-deterministic technology in low-orbit communication networks, and the design principles and workflow of each functional module of the simulation platform were introduced in detail. Meanwhile, the key mechanisms were analyzed in depth. Through simulation evaluation, it verifies the performance advantages of TSN technology in guaranteeing the end-to-end delay, delay jitter, and packet arrival rate of time-sensitive services in low-orbit satellite networks.
摘要:Orthogonal time frequency space (OTFS) modulation is shown to enable reliable communication in high-Doppler environments, making it suitable for high-mobility scenarios such as satellite communication. However, its high peak-to-average power ratio (PAPR) often exceeded the linear range of power amplifiers, causing nonlinear distortion. The partial transmit sequence (PTS) algorithm was utilized to mitigate PAPR by dividing data symbols into subblocks and selecting appropriate phase rotation factors. To enhance the PAPR suppression capability of the PTS algorithm, an improved grey wolf optimizer-based PTS algorithm, termed IGWO-PTS, was proposed to address the discrete combinatorial optimization problem, achieving a more optimal subblock partitioning scheme and better PAPR reduction. It was mathematically provened that when the elements of the phase rotation factor set exhibited rotational symmetry, the phase rotation factor combination space could be reduced to of its original size (where K denotes the number of set elements) , resulting in significant reduction in system complexity. Simulation results demonstrate that the IGWO-PTS algorithm outperformes traditional methods in PAPR reduction,maintaines reliable transmission in high-mobility satellite-to-ground scenarios.
关键词:peak-to-average power ratio;partial transfer sequence algorithm;improved grey wolf optimizer algorithm;space domain reduction;orthogonal time frequency space
摘要:Satellite-terrestrial integrated network can effectively complement the coverage of terrestrial cellular networks, meeting the full-time, full-area communication requirements of the 6G.To thoroughly analyze the downlink successful transmission probability in satellite-terrestrial integrated networks, stochastic geometry tools were employed, where binomial point processes (BPP) and Poisson point processes (PPP) were adopted to model the spatial distributions of satellites and terrestrial base stations (BSs). A closed-form expression for the downlink successful transmission probability of a typical user was derived. The accuracy of the theoretical derivation was verified through Monte Carlo simulations, and the impacts of key network parameters—including the deployment void radius of terrestrial BSs, the number of orthogonal frequency channels in spatial links, and BSs density—on the downlink successful transmission probability were investigated under satellite-terrestrial heterogeneous frequency networking. The results indicated that: the satellite-terrestrial integrated network effectively addressed the deployment void problem of terrestrial BSs; within a certain range, increasing the number of satellite frequency-domain channel partitions or terrestrial BSs density significantly improved the downlink successful transmission probability.
摘要:In view of the challenge of unmatched high cost investment and operating income at the initial stage of satellite Internet construction, the 6G non-standalone solution based on air ground integration was studied. A heterogeneous satellite Internet operation mode integrating Overlay and Underlay was proposed. The multi-orbit satellite network was abstracted into a unified resource pool through virtualization technology, and a phased evolution path was designed. In the initial stage, satellite ground cooperative access was achieved by relying on 5G core network. In the mid-stage, sinking user plane functions reduced the delay. In the last stage, satellite ground cooperative control plane was built to achieve global resource scheduling. This solution achieves deep collaboration between satellite networks and ground 5G/6G core networks through phased architecture evolution, verifying the ability of heterogeneous resource virtualization aggregation and real-time business stability guarantee, and providing a feasible technical path for low-cost construction of 6G space-air-ground integrated networks.
关键词:non-standalone of 6G;satellite Internet;heterogeneous network aggregation;virtualization technology;phased evolution
摘要:In multi-channel communication simulation systems, inconsistencies in amplitude and phase between channels can degrade system performance, making channel equalization technology essential. Unlike traditional equalizer designs, blind equalization algorithms do not require training sequences, improving system efficiency and not interfering with the simulation process. The improved constant modulus blind equalization algorithm based on particle swarm optimization is a new blind equalization method that introducing particle swarm optimization to find the optimal solution for the equalizer, thereby improving the convergence speed of the algorithm. However, this algorithm is sensitive to initial parameters and is prone to get stuck in local optimum. Constant weights and learning factors can increase the steady-state mean square error, resulting in uneven local and global search capabilities. To address these issues, an improved particle swarm constant modulus blind equalization algorithm based on chaotic-mapping and Gaussian perturbation was proposed. After simulation verification, the performance of the proposed algorithm has been improved. The sensitivity to parameters set in the early stages of the algorithm is reduced. The fitness decreases by 0.011 after stabilization. When the symbol error rate reaches level, the signal-to-noise ratio decreases more compared to traditional algorithms. The mean square error is reduced by 1.77 dB, and intersymbol interference is reduced by 0.64 dB. In addition, by comparing different inertia weight schemes, it is further verified that the proposed algorithm achieves faster convergence speed and lower inter-symbol interference.
摘要:As network attacks become increasingly frequent, traditional network defense technologies can no longer meet current demands. Active defense, relying on its dynamic and random characteristics, has become one of the effective methods to counter network attacks. The end-point information hopping and spreading hybrid technology is a type of active defense that, based on dynamically and randomly changing end-point information, allows the system to maintain communication even when ports are closed, thus providing excellent concealment and security. However, it has limitations in terms of transmission rate and user capacity, supporting only one-to-one communication. To address these issues, a new network communication strategy was proposed, which combined the end-point information hopping and spreading hybrid technology with sparse code multiple access (SCMA) to enhance the number of system-accessible users and overall transmission rate. Theoretical analysis and experimental results show that the system's user capacity and transmission rate have been improved while ensuring good concealment and security.
关键词:network security;end-point information hopping and spreading hybrid technology;active network defense;sparse code multiple access
摘要:In the marine turbulence fading environment, a hybrid fading channel model was considered, which included the effects of generalized Gamma distribution (GGD) marine turbulence, zero-mean axis pointing errors, and path loss. Using the Meijer-G function, the average bit error rate for a single-input multiple-output (SIMO) underwater wireless optical communication (UWOC) system employing selection combining (SC) was derived. Finally, the accuracy of the derived expression was validated through Monte Carlo simulations. The results show that the performance of SC in the SIMO system outperforms that of the SISO system. Additionally, for the same average bit error rate, the transmission distance of the SIMO system is also superior to that of the SISO system.
关键词:generalized Gamma distribution;marine turbulence;pointing error;underwater wireless optical communication
摘要:Addressing the issue of low classification accuracy raised by the poor performance of the model, which is caused by the difficulty in learning from dynamic aggregation unknown neighboring nodes of graph data and insufficient fusion of semantic features, a model named graph attention text classification(GATC) based on graph neural network (GNN) and attention mechanism was proposed. Firstly, an inductive learning of graph neural network model was constructed, and dynamic embedding the unknown neighboring node was implemented by using an aggregation function to enhance the model’s generalization ability. Secondly, the reasoning cache size of key-value was reduced by the introduction of multi-head latent attention mechanism that utilized the low-rank key-value joint compression technology, which significantly diminished memory usage and improved the performance of the model. Finally, the integration of GNN and gated recurrent unit (GRU) network models further captured the semantic feature information of structural and temporal attributes for graph data, resulting in achieving efficient feature fusion and improving the classification accuracy of the model. The experimental results show that the proposed method not only is effective, but also improves the accuracy of classification that is increased at least 4.0%, 2.4% and 3.1% on the CSI 100,CSI 300 and Rus 1K datasets, respectively, compared with the algorithm ADGL+MLA (adaptive dynamic graph learning+multi-head latent attention).
摘要:The co-channel interference caused by the second harmonic spurious emissions from Tiantong satellite terminal to the downlink of C-band satellite fixed service system was analyzed. Based on different spurious emissions requirement limits, considering the distribution of Tiantong satellite terminals in different channel environments, the Monte Carlo simulation method was used to compare the interference condition of Tiantong satellite terminal to satellite earth stations at different elevation angles of satellite earth station antennas and the isolation distance between Tiantong satellite terminal and satellite earth stations. The relevant suggestions were given for the co-existence of Tiantong satellite terminal and C-band satellite earth stations.
摘要:The application of knowledge graph and eventic graph technologies in the empirical study of telecom fraud cases driven by artificial intelligence generated content (AIGC) allows for a more intuitive tracing of the evolution of risks during the victimization process, which is of great significance for countering and early warning of new types of telecom fraud. Based on data from telecom fraud cases implemented using AIGC, semantic role labeling and dependency parsing were firstly performed during data preprocessing. Then, event element recognition and event relationship extraction were constructed to construct knowledge graphs and eventic graphs of the cases. Finally, the key stages and patterns of the evolution of telecom fraud risks were analyzed by combining mathematical statistics with graph technologies. The research revealed that, suspects using AIGC were able to more effectively exploit the phenomenon of confirmation bias to gain the victim’s trust. The evolution patterns of telecom fraud risks driven by AIGC were categorized into three types: the long-chain type evolution pattern systematically identifies complete risk events and their inter-event evolutionary trajectories within cases, while investigation of the star-shaped and composite type evolution patterns enable recognition of divergent risk behavioral patterns and localization of core risk event nodes across homogeneous case clusters, there by establishing a theoretical foundation for developing scientifically rational governance strategies in telecom fraud countermeasures.
关键词:artificial intelligence generated content;telecom fraud;knowledge graph;event element recognition;deep clustering
摘要:With the advancement of 5G technology, network slicing has become crucial for the independent operation of services, secure isolation, and the assurance of service level agreement (SLA). Based on this, the validation and analysis of network slicing capabilities focusing on resource block (RB)-based resource reservation in 5G networks were conducted. The implementation mechanisms and functional principles of RB resource reservation slicing were studied, and its advantages over priority guarantee methods such as 5G QoS identifier (5QI) were quantitatively verified through field trials. The potential value of network slicing in various application scenarios was discussed, providing theoretical support and practical guidance for the further commercialization and industry application of 5G network slicing.
摘要:The cell downlink effective throughput and user plane latency are important performance indicators of the 5G system’s air interface. To study the impact factors behind them, the integration of Shapley value with local linear forest model was used to make predictions with explanations. The experiment results show that compared to traditional method, this method achieves a better predict precision. Based on this, by calculating each factor’s contribution towards the results and analyzing the corresponding trends, a problematic factor for each problematic cell was found. Finally, by sorting the importance of each factor’s contribution, changes in results were inferred by changes in important factors, thus more comprehensive understanding and analysis of the performance indicators were achieved.
关键词:effective throughput;user plane latency;local linear forest;Shapley value
摘要:In environments where the overhead covered depots for electric trains employs multi-density structural columns, wireless intercom personnel can only communicate at close range, making it impossible to conduct wireless intercom while moving within a large area of the facility. In response to the requirements of the wireless intercom system for overhead covered depots for electric trains, the existing equipment of first-ever Depot for Electric Trains was optimized, proposing for the first time in railway communications a relay solution for a digital/analog compatible wireless intercom system. Simultaneously, self-excited interference elimination was realized and a set of system equipment suitable for railway depots for electric trains was innovated, enabling the system to meet the demand for direct intercom communication among personnel across the entire ultra-large area. Field tests verify the design level and application effectiveness of this system, reducing the system's bit error rate to below 1% while satisfying business needs. This provides references for the design of wireless communication systems in similar environments, such as passenger and freight train stations, logistics parks, ports, and other scenarios.
关键词:overhead covered depot for electric train;co-frequency radio relay;wireless intercom communication;testing methodology