STAR-RIS Aided INAC in Urban Canyon Scenarios
This study investigates the application of a simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-aided medium-Earth-orbit (MEO) satellite network for providing both global positioning services and communication services in the urban canyons, where the direct satellite-user links are obstructed. Superposition coding (SC) and successive interference cancellation (SIC) techniques are utilized for the integrated navigation and communication (INAC) networks, and the composed navigation and communication signals are reflected or transmitted to ground users or indoor users located in urban canyons. To meet diverse application needs, navigation-oriented (NO)-INAC and communicationoriented (CO)-INAC have been developed, each tailored according to distinct power allocation factors. We then proposed two algorithms, namely navigation-prioritized-algorithm (NPA) and communication-prioritized-algorithm (CPA), to improve the navigation or communication performance by selecting the satellite with the optimized position dilution of precision (PDoP) or with the best channel gain.
Authors
- Arumugam Nallanathan (ORCID: https://orcid.org/0000-0001-8337-5884)
- Anna Li (ORCID: https://orcid.org/0000-0002-5753-1430)
- Wenqiang Yi (ORCID: https://orcid.org/0000-0003-4732-5040)
- Tianwei Hou (ORCID: https://orcid.org/0000-0002-4742-122X)
- Yuanwei Liu (ORCID: https://orcid.org/0000-0002-6389-8941)
- Da Guan
- Xin Sun (ORCID: https://orcid.org/0000-0002-8784-2248)
Institutions
- Queen Mary University of London (GB)
- Beijing Jiaotong University (CN)
- University of Hong Kong (HK)
Publication Details
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1109/wcnc61545.2025.10978534
- Citations
- 1
- Primary Topic
- Robotics and Sensor-Based Localization
- Type
- article
- Field-Weighted Citation Impact
- 4.99