Near-Field Hierarchical Localization for Integrated Sensing and Communication
Localization is expected to play a significant role in future wireless networks, as positioning and situational awareness, navigation and tracking, are integral parts of 6G usage scenarios. Nevertheless, in many cases localization requires extra equipment, which interferes with communications system...
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| Format: | Article |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10838506/ |
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| author | Giorgos Stratidakis Sotiris Droulias Angeliki Alexiou |
| author_facet | Giorgos Stratidakis Sotiris Droulias Angeliki Alexiou |
| author_sort | Giorgos Stratidakis |
| collection | DOAJ |
| description | Localization is expected to play a significant role in future wireless networks, as positioning and situational awareness, navigation and tracking, are integral parts of 6G usage scenarios. Nevertheless, in many cases localization requires extra equipment, which interferes with communications systems, while also requiring additional resources. On the other hand, high frequency and highly directional communications offer a new framework of improved resolution capabilities in the angular and range domains. The implementation of integrated sensing and communications is being explored to unify the sensing and communications systems and promote a communicate-to-sense approach. To this end, a localization algorithm is presented that utilizes beam-forming and the emerging beam-focusing technique, to estimate the location of the receiver. The algorithm can be implemented with large antenna arrays, and large intelligent surfaces. The performance of the algorithm for static and mobile users is evaluated through Monte-Carlo simulations. The results are presented with the empirical CDF for both static and mobile users, and the probability of successful estimation for static users. |
| format | Article |
| id | doaj-art-754dc74351704fd29f980e29bc8c0281 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-754dc74351704fd29f980e29bc8c02812025-01-31T00:01:20ZengIEEEIEEE Access2169-35362025-01-0113177661777610.1109/ACCESS.2025.352885710838506Near-Field Hierarchical Localization for Integrated Sensing and CommunicationGiorgos Stratidakis0https://orcid.org/0000-0003-1064-9164Sotiris Droulias1https://orcid.org/0000-0002-2404-2649Angeliki Alexiou2https://orcid.org/0000-0001-9036-0306Department of Digital Systems, University of Piraeus, Piraeus, GreeceDepartment of Digital Systems, University of Piraeus, Piraeus, GreeceDepartment of Digital Systems, University of Piraeus, Piraeus, GreeceLocalization is expected to play a significant role in future wireless networks, as positioning and situational awareness, navigation and tracking, are integral parts of 6G usage scenarios. Nevertheless, in many cases localization requires extra equipment, which interferes with communications systems, while also requiring additional resources. On the other hand, high frequency and highly directional communications offer a new framework of improved resolution capabilities in the angular and range domains. The implementation of integrated sensing and communications is being explored to unify the sensing and communications systems and promote a communicate-to-sense approach. To this end, a localization algorithm is presented that utilizes beam-forming and the emerging beam-focusing technique, to estimate the location of the receiver. The algorithm can be implemented with large antenna arrays, and large intelligent surfaces. The performance of the algorithm for static and mobile users is evaluated through Monte-Carlo simulations. The results are presented with the empirical CDF for both static and mobile users, and the probability of successful estimation for static users.https://ieeexplore.ieee.org/document/10838506/Integrated sensing and communicationlocalizationTHzbeam-trainingrangingbeam-forming |
| spellingShingle | Giorgos Stratidakis Sotiris Droulias Angeliki Alexiou Near-Field Hierarchical Localization for Integrated Sensing and Communication IEEE Access Integrated sensing and communication localization THz beam-training ranging beam-forming |
| title | Near-Field Hierarchical Localization for Integrated Sensing and Communication |
| title_full | Near-Field Hierarchical Localization for Integrated Sensing and Communication |
| title_fullStr | Near-Field Hierarchical Localization for Integrated Sensing and Communication |
| title_full_unstemmed | Near-Field Hierarchical Localization for Integrated Sensing and Communication |
| title_short | Near-Field Hierarchical Localization for Integrated Sensing and Communication |
| title_sort | near field hierarchical localization for integrated sensing and communication |
| topic | Integrated sensing and communication localization THz beam-training ranging beam-forming |
| url | https://ieeexplore.ieee.org/document/10838506/ |
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