{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:R5KQMOF7BYPFNOQIMWCVY7PFI7","short_pith_number":"pith:R5KQMOF7","schema_version":"1.0","canonical_sha256":"8f550638bf0e1e56ba0865855c7de547c9b7c01f30e8e6a089045f6e710d2580","source":{"kind":"arxiv","id":"2108.11902","version":1},"attestation_state":"computed","paper":{"title":"Cluster-based Characterization and Modeling for UAV Air-to-Ground Time-Varying Channels","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Bo Ai, C\\'esar Briso-Rodr\\'iguez, Claude Oestges, Ke Guan, Zhangdui Zhong, Zhuangzhuang Cui","submitted_at":"2021-08-26T16:50:27Z","abstract_excerpt":"With the deep integration between the unmanned aerial vehicle (UAV) and wireless communication, UAV-based air-to-ground (AG) propagation channels need more detailed descriptions and accurate models. In this paper, we aim to perform cluster-based characterization and modeling for AG channels. To our best knowledge, this is the first study that concentrates on the clustering and tracking of multipath components (MPCs) for time-varying AG channels. Based on measurement data at 6.5 GHz with 500 MHz of bandwidth, we first estimate potential MPCs utilizing the space-alternating generalized expectati"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2108.11902","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2021-08-26T16:50:27Z","cross_cats_sorted":[],"title_canon_sha256":"b8b5ccbdc18f209fb537195ae3361f51a9efd62fb7ead16c12b4c21af94f1adf","abstract_canon_sha256":"15ff294f71a544f9b36f57e7cd6b6942b148c328e4243cb9e9fab44b51181b7b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:09:10.788129Z","signature_b64":"kHCa1xgdsJScZS96wE63wNk+gZCLrcN/FnFz4GjjZa5CsbNHE4K9ogLvs9barZ35XvNUyw6xkOCeGbGdXGYxAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f550638bf0e1e56ba0865855c7de547c9b7c01f30e8e6a089045f6e710d2580","last_reissued_at":"2026-07-05T03:09:10.787791Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:09:10.787791Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cluster-based Characterization and Modeling for UAV Air-to-Ground Time-Varying Channels","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Bo Ai, C\\'esar Briso-Rodr\\'iguez, Claude Oestges, Ke Guan, Zhangdui Zhong, Zhuangzhuang Cui","submitted_at":"2021-08-26T16:50:27Z","abstract_excerpt":"With the deep integration between the unmanned aerial vehicle (UAV) and wireless communication, UAV-based air-to-ground (AG) propagation channels need more detailed descriptions and accurate models. In this paper, we aim to perform cluster-based characterization and modeling for AG channels. To our best knowledge, this is the first study that concentrates on the clustering and tracking of multipath components (MPCs) for time-varying AG channels. Based on measurement data at 6.5 GHz with 500 MHz of bandwidth, we first estimate potential MPCs utilizing the space-alternating generalized expectati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.11902","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2108.11902/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2108.11902","created_at":"2026-07-05T03:09:10.787846+00:00"},{"alias_kind":"arxiv_version","alias_value":"2108.11902v1","created_at":"2026-07-05T03:09:10.787846+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.11902","created_at":"2026-07-05T03:09:10.787846+00:00"},{"alias_kind":"pith_short_12","alias_value":"R5KQMOF7BYPF","created_at":"2026-07-05T03:09:10.787846+00:00"},{"alias_kind":"pith_short_16","alias_value":"R5KQMOF7BYPFNOQI","created_at":"2026-07-05T03:09:10.787846+00:00"},{"alias_kind":"pith_short_8","alias_value":"R5KQMOF7","created_at":"2026-07-05T03:09:10.787846+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/R5KQMOF7BYPFNOQIMWCVY7PFI7","json":"https://pith.science/pith/R5KQMOF7BYPFNOQIMWCVY7PFI7.json","graph_json":"https://pith.science/api/pith-number/R5KQMOF7BYPFNOQIMWCVY7PFI7/graph.json","events_json":"https://pith.science/api/pith-number/R5KQMOF7BYPFNOQIMWCVY7PFI7/events.json","paper":"https://pith.science/paper/R5KQMOF7"},"agent_actions":{"view_html":"https://pith.science/pith/R5KQMOF7BYPFNOQIMWCVY7PFI7","download_json":"https://pith.science/pith/R5KQMOF7BYPFNOQIMWCVY7PFI7.json","view_paper":"https://pith.science/paper/R5KQMOF7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2108.11902&json=true","fetch_graph":"https://pith.science/api/pith-number/R5KQMOF7BYPFNOQIMWCVY7PFI7/graph.json","fetch_events":"https://pith.science/api/pith-number/R5KQMOF7BYPFNOQIMWCVY7PFI7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/R5KQMOF7BYPFNOQIMWCVY7PFI7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/R5KQMOF7BYPFNOQIMWCVY7PFI7/action/storage_attestation","attest_author":"https://pith.science/pith/R5KQMOF7BYPFNOQIMWCVY7PFI7/action/author_attestation","sign_citation":"https://pith.science/pith/R5KQMOF7BYPFNOQIMWCVY7PFI7/action/citation_signature","submit_replication":"https://pith.science/pith/R5KQMOF7BYPFNOQIMWCVY7PFI7/action/replication_record"}},"created_at":"2026-07-05T03:09:10.787846+00:00","updated_at":"2026-07-05T03:09:10.787846+00:00"}