International Journal of Satellite Communications and Networking最新文献

{"title":"Design and Performance Analysis of Multisatellite Cooperative Transmission Based on Orthogonal Carrier Aggregation","authors":"Shuolong Yang,&nbsp;Cheng Ju,&nbsp;Dongdong Wang,&nbsp;Na Liu,&nbsp;Peining Zheng,&nbsp;Honglong Gu,&nbsp;Yue Qiu","doi":"10.1002/sat.70027","DOIUrl":"https://doi.org/10.1002/sat.70027","url":null,"abstract":"<div>\u0000 \u0000 <p>With the continuous growth of satellite communication traffic and user access demands, the limited bandwidth capacity of a single satellite is insufficient to support the scalable broadband access demands of video services. To address this challenge, this paper proposes a multisatellite cooperative distributed orthogonal carrier aggregation (CA). By dynamically allocating satellite spectrum resources to orthogonal subcarriers and combining signals at the ground terminal, the system bandwidth is significantly enhanced. Employing a guard-interval-free design, the scheme relies on precise synchronization and Doppler precompensation to achieve seamless orthogonal CA, effectively avoiding spectrum waste, suppressing interference, and maximizing spectral efficiency. In response to the key technical challenges in cooperative transmission, this paper focuses on studying symbol timing synchronization and frequency synchronization algorithms for multilink scenarios. To validate the practical performance of the scheme, a dual-satellite cooperative transmission simulation system with a signal bandwidth of 5 MHz was established, and QPSK modulation was adopted for testing. Simulation results demonstrate that at a bit error rate (BER) of 10⁻³, the signal-to-noise ratio (SNR) gains under ideal synchronization conditions (without timing and frequency impairments) reach 3 and 2.7 dB in AWGN and NTN-TDL-D channels, respectively. Even when channel impairments such as Doppler frequency offset and link delay are introduced, the system still maintains SNR gains of 2.75 and 2.5 dB after precompensation at the transmitter based on the proposed algorithm. These results significantly validate the effectiveness and robustness of the proposed scheme in complex satellite-terrestrial communication scenarios.</p>\u0000 </div>","PeriodicalId":50289,"journal":{"name":"International Journal of Satellite Communications and Networking","volume":"44 4","pages":"404-410"},"PeriodicalIF":1.6,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148215108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generative Semantic Communication for Efficient Utilization of Satellite Resources in 6G","authors":"Hyein Lee,&nbsp;Sooyoung Kim,&nbsp;Heewook Kim,&nbsp;Jihong Park,&nbsp;Jinho Choi,&nbsp;Daesub Oh","doi":"10.1002/sat.70017","DOIUrl":"https://doi.org/10.1002/sat.70017","url":null,"abstract":"<p>In this paper, a two-stage resource allocation framework is proposed for generative semantic communication (GSC)–enabled multibeam satellite systems. By integrating semantic compression and generative artificial intelligence, GSC enables efficient downlink transmission by allowing users to reconstruct content from compressed semantic prompts. The proposed framework jointly optimizes the selection of generative cells and generative user ratios as well as bandwidth and power allocation through a multiobjective optimization problem. To reduce complexity, a constrained subset search method and a pruning-based strategy are introduced, achieving near-optimal performance with significantly reduced computation compared with exhaustive search. Simulation results show that the proposed method outperforms conventional ones without GSC in terms of success rate, and goodput under moderate-to-heavy traffic demand, underscoring GSC's potential for a wide range of satellite-based applications, including disaster relief, defense, autonomous driving, and large-scale extended reality.</p>","PeriodicalId":50289,"journal":{"name":"International Journal of Satellite Communications and Networking","volume":"44 4","pages":"368-377"},"PeriodicalIF":1.6,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/sat.70017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148215072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive Review on Performance Analysis for Satellite Communication MIMO Over Terrestrial Communication MIMO","authors":"Shradha Kumari,&nbsp;Ashraf Hossain","doi":"10.1002/sat.70035","DOIUrl":"https://doi.org/10.1002/sat.70035","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper presents a thorough review on technical and physical comparison between the implementation of satellite MIMO (multiple-input multiple-output) and terrestrial MIMO. The technological improvements in satellite MIMO over terrestrial MIMO which are absent in related previous works are additional with this survey paper. Most of the applications for heterogeneous user cases are feasible due to diversity performances and shortening the digital divide with facility of higher data rate capacity to remotely located and underserved areas. Over and above that suitable antenna design, perspectives to achieve satisfactory performance metrics like number of ports, slot effects, isolation factor, metamaterial are considered, while multiple antenna elements are also carried out for executing MIMO performance over satellite. Adaptive beamforming and multiplexing are the potential characteristics of MIMO technology which makes the device more feasible for high potential applications of satellite communication (SatCom) in various applications that demand higher capacity and enhanced coverage for ultrareliable wireless communication system. Various constellation satellites such as LEO (low earth orbit), MEO (medium earth orbit), and GEO (geostationary earth orbit) are categorized according to their altitude, elevation angle, and their applications. Exploitation of diversity performance to accomplish the critical services along with global coverage is an excellent service provided by satellite MIMO communication system. Furthermore, challenges associated with installation of MIMO with SatCom are analyzed, and benefits along with difficulties are introduced.</p>\u0000 </div>","PeriodicalId":50289,"journal":{"name":"International Journal of Satellite Communications and Networking","volume":"44 4","pages":"445-463"},"PeriodicalIF":1.6,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148215099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cognitive Orbital Mesh Beamforming (COMB) for LEO Satellite Networks: A Performance Simulation Framework","authors":"W. Belgacem,&nbsp;N. Belgacem","doi":"10.1002/sat.70032","DOIUrl":"https://doi.org/10.1002/sat.70032","url":null,"abstract":"<div>\u0000 \u0000 <p>The rapid evolution of 6G non-terrestrial networks (NTNs) demands innovative solutions to address the challenges of high-mobility low Earth orbit (LEO) satellite communications, including dynamic channel conditions, Doppler shifts, and adversarial threats. This paper proposes a Quantum- Integrated OTFS-RIS Framework with AI-Driven Security, tailored for 6G NTNs. The framework combines Orthogonal Time Frequency Space (OTFS) modulation with reconfigurable intelligent surfaces (RIS) to enhance throughput and robustness, leveraging quantum computing for real-time delay-Doppler channel prediction and optimization. An AI-driven decision engine, integrating advanced recurrent neural network-transformer models and machine learning-based attack detectors, dynamically adjusts RIS phase shifts and relay trajectories, achieving up to 30% throughput gains and significant bit error rate (BER) reductions compared with conventional schemes. Security is fortified through quantum key distribution (QKD) and AI-enhanced physical layer security (PLS), mitigating jamming and eavesdropping while maximizing covert rates. Simulation results, validated in a multi-user massive MIMO LEO environment, demonstrate superior spectral efficiency, energy optimization, and resilience against adversarial interference, positioning this framework as a cornerstone for secure, scalable 6G NTN connectivity.</p>\u0000 </div>","PeriodicalId":50289,"journal":{"name":"International Journal of Satellite Communications and Networking","volume":"44 4","pages":"419-428"},"PeriodicalIF":1.6,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148215135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-Healing Swarm Beamforming for LEO Satellite Constellations","authors":"W. Belgacem,&nbsp;N. Belgacem","doi":"10.1002/sat.70026","DOIUrl":"https://doi.org/10.1002/sat.70026","url":null,"abstract":"<div>\u0000 \u0000 <p>Low Earth Orbit (LEO) satellite constellations must be able to communicate reliably, strongly, and with little energy use in order to meet 5G/6G performance goals. This paper introduces Self-Healing Swarm Beamforming (SHSB), a new way to do distributed beamforming. SHSB lets adaptive digital beamforming happen across the whole constellation by using federated deep reinforcement learning (FDRL) and topology-aware dynamic antenna arrays. SHSB creates a virtual massive multiple-input multiple-output (MIMO) array by treating satellites as a cooperative swarm. This increases signal-to-interference-plus-noise ratio (SINR), lowers energy use, and improves spatial coverage. Reconfigurable intelligent surfaces (RIS) make beam directivity even better at 28 GHz. In case of a satellite failure, a predictive self-healing mechanism reallocates beams within five seconds. It uses graph neural networks (GNNs) to predict topology, which fills in gaps in the previous FDRL-RIS methods that focused on energy but did not have resilient beamforming. SHSB reduces energy consumption by 25%, delivers SINR \u0000<span></span><math>\u0000 <mo>&gt;</mo></math> 18 dB at 16-dB SNR, and achieves a spectral efficiency of 120 bits/s/Hz at 20-dB SNR, according to MATLAB simulations. The feasibility is confirmed by theoretical limits on FDRL convergence and system stability. For next-generation satellite networks, SHSB provides a scalable, autonomous, and high-capacity solution with direct applications in disaster recovery, Internet of Things (IoT) connectivity, and international broadband services. This study proposes Self-Healing Swarm Beamforming (SHSB), a distributed framework integrating federated deep reinforcement learning (FDRL), reconfigurable intelligent surfaces (RIS), and graph neural network (GNNs) for resilient Low Earth Orbit (LEO) satellite communications. This work enables predictive self-healing with beam reallocation in less than 5 s upon satellite failure, ensuring constellation-wide topology adaptation. This research forms virtual massive multiple-input multiple-output (MIMO) arrays via swarm coordination, achieving SINR &gt;18 dB at 16-dB SNR and spectral efficiency of 120 bits/s/Hz at 20-dB SNR. This work demonstrates 25% energy reduction compared to centralized DBF baselines through MATLAB simulations with 100 Monte Carlo runs under Ricean fading. This study provides theoretical convergence bounds for FDRL and stability proofs, affirming scalability for 5G/6G applications in disaster recovery and Internet of Things (IoT).</p>\u0000 </div>","PeriodicalId":50289,"journal":{"name":"International Journal of Satellite Communications and Networking","volume":"44 4","pages":"394-403"},"PeriodicalIF":1.6,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148215137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimating Rain-Specific Attenuation at Extremely High Frequencies From Disdrometer Measurements at Various Climate Zones in the US","authors":"Eugene S. Hong,&nbsp;George Brost,&nbsp;Nicholas Tarasenko,&nbsp;Steven A. Lane","doi":"10.1002/sat.70016","DOIUrl":"https://doi.org/10.1002/sat.70016","url":null,"abstract":"<p>The raindrop size distribution (DSD) plays an essential role in understanding rain attenuation effects at extremely high frequencies (EHFs). Over 1 year of DSD measurements was taken at different Köppen–Geiger climate classifications within the United States. Optical disdrometers from Thies Clima were used to measure both the size and velocity of rain droplets. Rain-specific attenuation estimates at various frequencies and rain rates below 40 mm/h were obtained and compared across the multiple locations. Results show that the International Telecommunication Union (ITU) model (ITU-R P.838) generally falls near the median of results across multiple locations; however, the wide variance across the locations demonstrates that no single DSD or rain attenuation model can universally characterize rain attenuation at EHFs. This study provides valuable insights for designers of millimeter-wave communication systems, helping them predict rain attenuation across various climate zones in the US.</p>","PeriodicalId":50289,"journal":{"name":"International Journal of Satellite Communications and Networking","volume":"44 4","pages":"357-367"},"PeriodicalIF":1.6,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/sat.70016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148215080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sparse Channel Recovery in LEO Satellite–UAV Networks Using Centralized Cooperative CS","authors":"Ahmed Moumena","doi":"10.1002/sat.70028","DOIUrl":"https://doi.org/10.1002/sat.70028","url":null,"abstract":"<div>\u0000 \u0000 <p>The combination of low Earth orbit (LEO) satellite constellations and unmanned aerial vehicle (UAV) fleets represents a revolutionary structure for future communication systems, providing widespread connectivity and improved operational adaptability. Nevertheless, the considerable mobility of LEO satellites brings about notable Doppler shifts, and the air-to-ground communication channel is naturally limited, posing a crucial obstacle in accurately and effectively estimating the channel. This study explores a centralized cooperative compressed sensing (CS) framework in order to effectively tackle this particular challenge. We conduct a simulation of a network in which multiple UAVs work together to sense a sparsely populated communication channel from a LEO satellite. Every UAV obtains a limited set of compressed measurements and transmits them to a central controller. This controller consolidates the measurements and utilizes the orthogonal matching pursuit (OMP) algorithm to simultaneously reconstruct the high-dimensional channel impulse response. The simulation carried out in the MATLAB software models a practical scenario involving cooperative UAVs and noncooperative UAVs, a channel of specific length with sparsity, and includes the Doppler effect arising from a LEO satellite communicating in the S-band. The findings illustrate the effectiveness of the collaborative method in attaining a precise channel reconstruction with a low normalized mean squared error (NMSE). The examination validates that through combining measurements taken at a rate below the Nyquist limit, the network can effectively address the limited sampling capabilities of each UAV. This results in a resilient and precise reconstruction of the sparse channel structure. Communication throughput in dynamic systems involving LEO and UAV technology. This study confirms the capacity of collaborative CS as a fundamental technology enabling efficient, high-capacity communication in dynamic LEO-UAV systems.</p>\u0000 </div>","PeriodicalId":50289,"journal":{"name":"International Journal of Satellite Communications and Networking","volume":"44 4","pages":"411-418"},"PeriodicalIF":1.6,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148215122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond 5G and Non-terrestrial Network (NTN) Integrated Architecture: Access Challenges for Expanding Artificial Intelligence of Things (AIoT)","authors":"Byung Woon Kim,&nbsp;Ga Eun Choi","doi":"10.1002/sat.70018","DOIUrl":"https://doi.org/10.1002/sat.70018","url":null,"abstract":"<p>This study analyzes the architecture of the beyond 5G-NTN (Non-terrestrial Network) integrated network and presents the technical, legal, and regulatory challenges and considerations for expanding the Artificial Intelligence of Things (AIoT) ecosystem. 5G-NTN integrates LEO, MEO, and GEO satellite communications with terrestrial networks (Mobile Network Operator, Mobile Virtual Network Operator) to provide global connectivity. Based on the 3GPP Rel-17/18 standards, it incorporates key technologies such as network slicing, edge computing, and dynamic spectrum allocation. To establish a robust AIoT ecosystem, technological solutions such as shared licensing for NTN and terrestrial network spectrum, optimization of network slicing, and QoS-based service differentiation are required. From a legal and regulatory perspective, cooperation with global regulatory bodies such as the ITU, FCC, and MSIT is necessary to establish NTN access models and wholesale policies. Additionally, policies for satellite data security and privacy protection must be developed. Strengthening interoperability between MNOs and Satellite Network Operators (SNOs) and establishing the Satellite Virtual Network Operator (SVNO) model, which includes MVNOs and the private 5G market, is crucial. This study emphasizes that the 5G-NTN-based AIoT ecosystem will serve as a key infrastructure driving future digital innovation and provides practical insights for policymakers, telecom operators, and research institutions. The global AIoT economy is projected to reach $411.5 billion by 2040, necessitating technical standardization and regulatory support to sustain its growth. Importantly, slicing must also be understood as a business model, involving SLA agreements and value chain optimization between SNOs and Mobile Network Operators (MNOs).</p>","PeriodicalId":50289,"journal":{"name":"International Journal of Satellite Communications and Networking","volume":"44 4","pages":"378-393"},"PeriodicalIF":1.6,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/sat.70018","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148215147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adjacent Satellites Collaborative Beam Hopping–Based Interference Avoidance Technique for LEO Satellite System","authors":"Chao Zhang,&nbsp;Xiangyu Gan,&nbsp;Guang Liang,&nbsp;Xinglong Jiang,&nbsp;Huawang Li","doi":"10.1002/sat.70034","DOIUrl":"https://doi.org/10.1002/sat.70034","url":null,"abstract":"<div>\u0000 \u0000 <p>Low earth orbit (LEO) satellite communication system can achieve global coverage and has attracted widespread attention. However, the common demand for broadband satellite spectrum resources inevitably leads to cofrequency interference between LEO and geostationary orbit (GSO) satellite communication systems. To meet interference avoidance requirements while ensuring LEO system performance, this paper proposes an adjacent satellites collaborative beam hopping–based interference avoidance technique for GSO–LEO coexistence systems. First, the adaptive demand satisfaction ratio user grouping method is developed to accommodate the energy efficiency weight factor in resource efficiency (RE). Meanwhile, a residual demand priority adjacent satellites collaborative greedy user scheduling scheme is employed to enhance LEO system capacity while avoiding severe interference to GSO systems. Subsequently, a quadratic transformation–based convex optimization power allocation is proposed to further improve LEO system RE and reduce cofrequency interference. Finally, the above steps are alternately iterated timeslot by timeslot to obtain the local optimal user scheduling strategy and power allocation scheme over the beam-hopping period. Simulation results validate that the proposed technique effectively mitigates interference while achieving optimal performance in multiple indicators including RE.</p>\u0000 </div>","PeriodicalId":50289,"journal":{"name":"International Journal of Satellite Communications and Networking","volume":"44 4","pages":"429-444"},"PeriodicalIF":1.6,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148215225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Special Issue: Best Papers From the 29th and 30th Ka and Broadband Space Communications and Navigation Conferences","authors":"Barry Evans","doi":"10.1002/sat.70047","DOIUrl":"https://doi.org/10.1002/sat.70047","url":null,"abstract":"<p>This special issue contains the best papers from the 29th and 30th Ka and Broadband Space Communications and Navigation Conference held, respectively, in Bradford, UK, and Seattle, USA, in 2023/2024.</p><p>The Ka band conferences were originally dedicated to the diffusion of information on all aspects of satellite communications at 20–30 GHz and were created to publicize the achievements of the ITALSAT and ACTS satellites in opening up the Ka frequency band for use in satellite communications, with the first held in 1995 in Rome.</p><p>The conferences have been instrumental in publicizing the success of both satellites in demonstrating the usefulness of Ka band through novel system approaches including digital communications, mitigating rain attenuation, hopping spot beams, onboard switching, integrated services, demand-assigned channels, development of flight and ground components, and accurate propagation characteristics adopted throughout the world.</p><p>The conference continues to serve as a forum for Ka band, and now that it is firmly established and has enabled the deployment of very successful satellites with close to a Terabit/s capacity, it has widened to explore higher frequencies in Q/V bands and above to permit larger capacity satellites to serve more customers. The move from GEO to multi-orbits (MEO and LEO) is also reflected as well as broadband direct to devices (D2D). The conference has also embraced interplanetary communications, featuring both lunar and communications further afield to Mars with important involvement from NASA. Navigation and positioning have always been a major application for satellites and are now taking on renewed importance as we move into the 6G communications era.</p><p>James Schier | Coralí Roura | Phillip E. Paulsen | Karl Vaden | Jennifer Rock | Charles J. Sheehe | Angela Peura | Marc Seibert | Erica Lieb Weir</p><p>Tommaso Rossi | Mauro De Sanctis | Ernestina Cianca | Giuseppe Codispoti | Giorgia Parca | Marina Ruggieri</p><p>Justin Cano | Julien Queyrel | Laurent Castanet | Michel Bousquet</p><p>Avraham Freedman | Lars Erup|Fernando Díaz Canales | David Peilow | Peter Nayler | Vittoria Mignone | Kimmo Kaario | Tuomas Huikko | Verneri Rönty</p><p>Bilal Ahmad | Daniel Gaetano Riviello | Bruno De Filippo | Alessandro Guidotti | Alessandro Vanelli-Coralli</p><p>Marianna Biscarini | Arijit De | Lorenzo Luini | Carlo Riva | Antonio Martellucci | Roberto Nebuloni</p><p>Dieter Duyck | Dimitrios Christopoulos | Ulrik Bie | Arthur Dupuy | Johannes Wonterghem | Philippe Delbeke | Hugo Cruz Sanchez | Michael Crosnier | Romain Pons | Oriol Vidal | Peter Nayler</p><p>Philippe Delbeke | Dieter Duyck</p><p>Daniel Delaruelle | Arthur Dupuy | Johannes Wonterghem | Yves Deweerdt | Dieter Duyck</p><p>Mike Greenwood | Rob Hunter | Afonso Nunes</p><p>Professor Barry Evans</p><p>Chief Editor, <i>International Journal of Satellite Communications &amp;Networking</i></p><p>The author declares no conflicts of interest.</p>","PeriodicalId":50289,"journal":{"name":"International Journal of Satellite Communications and Networking","volume":"44 3","pages":"213-215"},"PeriodicalIF":1.6,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/sat.70047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148084429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}