{"title":"基于定位的收发器设计,用于多卫星到甚小口径终端的下行链路","authors":"Maik Röper;Bho Matthiesen;Dirk Wübben;Petar Popovski;Armin Dekorsy","doi":"10.1109/OJCOMS.2024.3486601","DOIUrl":null,"url":null,"abstract":"We propose a novel approach for downlink transmission from a satellite swarm towards a very small aperture terminal (VSAT). These swarms have the benefit of much higher spatial separation in the transmit antennas than traditional satellites with antenna arrays, promising a massive increase in spectral efficiency. The resulting precoder and equalizer have only low demands on computational complexity, inter-satellite coordination and channel estimation. This is achieved by taking knowledge about the geometry between satellites and VSAT into account. Due to the position based transceiver design, only slowly changing long-term statistics of the channel coefficient are considered. The necessity of accurate positional information is further relaxed by considering stochastic knowledge about the relative positions between satellites and VSAT rather than exact knowledge. Specifically, each satellite needs only stochastic information about the VSATs’ relative positions to calculate its precoding vector. Similarly, the VSAT requires only stochastic knowledge of the satellites’ relative positions for equalization. Furthermore, we evaluate the impact the inter-satellite distance has on the achievable data rate. Based on that, an analytic approach to arrange the satellites in a satellite swarm to maximize the rate is provided. The combination of the low complexity transceiver with suitable inter-satellite distances is proven to be capacity achieving in specific scenarios. The simulation results provide evidence that the proposed inter-satellite distance in combination with the proposed transceiver enables close-to-optimal rates in practical applications.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"7022-7040"},"PeriodicalIF":6.3000,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10735368","citationCount":"0","resultStr":"{\"title\":\"Position-Based Transceiver Design for Multiple Satellite to VSAT Downlink\",\"authors\":\"Maik Röper;Bho Matthiesen;Dirk Wübben;Petar Popovski;Armin Dekorsy\",\"doi\":\"10.1109/OJCOMS.2024.3486601\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a novel approach for downlink transmission from a satellite swarm towards a very small aperture terminal (VSAT). These swarms have the benefit of much higher spatial separation in the transmit antennas than traditional satellites with antenna arrays, promising a massive increase in spectral efficiency. The resulting precoder and equalizer have only low demands on computational complexity, inter-satellite coordination and channel estimation. This is achieved by taking knowledge about the geometry between satellites and VSAT into account. Due to the position based transceiver design, only slowly changing long-term statistics of the channel coefficient are considered. The necessity of accurate positional information is further relaxed by considering stochastic knowledge about the relative positions between satellites and VSAT rather than exact knowledge. Specifically, each satellite needs only stochastic information about the VSATs’ relative positions to calculate its precoding vector. Similarly, the VSAT requires only stochastic knowledge of the satellites’ relative positions for equalization. Furthermore, we evaluate the impact the inter-satellite distance has on the achievable data rate. Based on that, an analytic approach to arrange the satellites in a satellite swarm to maximize the rate is provided. The combination of the low complexity transceiver with suitable inter-satellite distances is proven to be capacity achieving in specific scenarios. The simulation results provide evidence that the proposed inter-satellite distance in combination with the proposed transceiver enables close-to-optimal rates in practical applications.\",\"PeriodicalId\":33803,\"journal\":{\"name\":\"IEEE Open Journal of the Communications Society\",\"volume\":\"5 \",\"pages\":\"7022-7040\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2024-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10735368\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Open Journal of the Communications Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10735368/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of the Communications Society","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10735368/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Position-Based Transceiver Design for Multiple Satellite to VSAT Downlink
We propose a novel approach for downlink transmission from a satellite swarm towards a very small aperture terminal (VSAT). These swarms have the benefit of much higher spatial separation in the transmit antennas than traditional satellites with antenna arrays, promising a massive increase in spectral efficiency. The resulting precoder and equalizer have only low demands on computational complexity, inter-satellite coordination and channel estimation. This is achieved by taking knowledge about the geometry between satellites and VSAT into account. Due to the position based transceiver design, only slowly changing long-term statistics of the channel coefficient are considered. The necessity of accurate positional information is further relaxed by considering stochastic knowledge about the relative positions between satellites and VSAT rather than exact knowledge. Specifically, each satellite needs only stochastic information about the VSATs’ relative positions to calculate its precoding vector. Similarly, the VSAT requires only stochastic knowledge of the satellites’ relative positions for equalization. Furthermore, we evaluate the impact the inter-satellite distance has on the achievable data rate. Based on that, an analytic approach to arrange the satellites in a satellite swarm to maximize the rate is provided. The combination of the low complexity transceiver with suitable inter-satellite distances is proven to be capacity achieving in specific scenarios. The simulation results provide evidence that the proposed inter-satellite distance in combination with the proposed transceiver enables close-to-optimal rates in practical applications.
期刊介绍:
The IEEE Open Journal of the Communications Society (OJ-COMS) is an open access, all-electronic journal that publishes original high-quality manuscripts on advances in the state of the art of telecommunications systems and networks. The papers in IEEE OJ-COMS are included in Scopus. Submissions reporting new theoretical findings (including novel methods, concepts, and studies) and practical contributions (including experiments and development of prototypes) are welcome. Additionally, survey and tutorial articles are considered. The IEEE OJCOMS received its debut impact factor of 7.9 according to the Journal Citation Reports (JCR) 2023.
The IEEE Open Journal of the Communications Society covers science, technology, applications and standards for information organization, collection and transfer using electronic, optical and wireless channels and networks. Some specific areas covered include:
Systems and network architecture, control and management
Protocols, software, and middleware
Quality of service, reliability, and security
Modulation, detection, coding, and signaling
Switching and routing
Mobile and portable communications
Terminals and other end-user devices
Networks for content distribution and distributed computing
Communications-based distributed resources control.