{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:M7ZKDLKZISIIQ6VNXC2DKUEP2H","short_pith_number":"pith:M7ZKDLKZ","schema_version":"1.0","canonical_sha256":"67f2a1ad594490887aadb8b435508fd1ec47e8389ffe524bb01970c33ba984dc","source":{"kind":"arxiv","id":"1906.12145","version":1},"attestation_state":"computed","paper":{"title":"Industrial Indoor Measurements from 2-6 GHz for the 3GPP-NR and QuaDRiGa Channel Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Frank Burkhardt, Lars Thiele, Leszek Raschkowski, Marko Sonkki, Nick Turay, Prasanth Karunakaran, Risto Vuohtoniemi, Stephan Jaeckel, Thomas Heyn, Veikko Hovinen","submitted_at":"2019-06-28T11:42:53Z","abstract_excerpt":"Providing reliable low latency wireless links for advanced manufacturing and processing systems is a vision of Industry 4.0. Developing, testing and rating requires accurate models of the radio propagation channel. The current 3GPP-NR model as well as the QuaDRiGa model lack the propagation parameters for the industrial indoor scenario. To close this gap, measurements were conducted at 2.37 GHz and 5.4 GHz at operational Siemens premises in Nuremberg, Germany. Furthermore, the campaign was planned to allow the test and parameterization of new features of the QuaDRiGa channel model such as supp"},"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":"1906.12145","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-06-28T11:42:53Z","cross_cats_sorted":[],"title_canon_sha256":"6308896d07b8f0a3a566ce9a8aa4e50f995a58b129741ed9b3ec55d220788d0d","abstract_canon_sha256":"0171b93fef27d03d0a0f63a4837cefabd71d0bb4ec6528ec34564a0aa7ea0316"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:41:59.152266Z","signature_b64":"nSQTtgXXNesKVdiC4n9x7ddAgELiqx88+1qPLEvZHr6JGpUsdSbdf16ivw7sHrWQ4RNA1ugGZAXMPvI/INPyDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"67f2a1ad594490887aadb8b435508fd1ec47e8389ffe524bb01970c33ba984dc","last_reissued_at":"2026-05-17T23:41:59.151878Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:41:59.151878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Industrial Indoor Measurements from 2-6 GHz for the 3GPP-NR and QuaDRiGa Channel Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Frank Burkhardt, Lars Thiele, Leszek Raschkowski, Marko Sonkki, Nick Turay, Prasanth Karunakaran, Risto Vuohtoniemi, Stephan Jaeckel, Thomas Heyn, Veikko Hovinen","submitted_at":"2019-06-28T11:42:53Z","abstract_excerpt":"Providing reliable low latency wireless links for advanced manufacturing and processing systems is a vision of Industry 4.0. Developing, testing and rating requires accurate models of the radio propagation channel. The current 3GPP-NR model as well as the QuaDRiGa model lack the propagation parameters for the industrial indoor scenario. To close this gap, measurements were conducted at 2.37 GHz and 5.4 GHz at operational Siemens premises in Nuremberg, Germany. Furthermore, the campaign was planned to allow the test and parameterization of new features of the QuaDRiGa channel model such as supp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.12145","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":""},"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":"1906.12145","created_at":"2026-05-17T23:41:59.151947+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.12145v1","created_at":"2026-05-17T23:41:59.151947+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.12145","created_at":"2026-05-17T23:41:59.151947+00:00"},{"alias_kind":"pith_short_12","alias_value":"M7ZKDLKZISII","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_16","alias_value":"M7ZKDLKZISIIQ6VN","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_8","alias_value":"M7ZKDLKZ","created_at":"2026-05-18T12:33:21.387695+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/M7ZKDLKZISIIQ6VNXC2DKUEP2H","json":"https://pith.science/pith/M7ZKDLKZISIIQ6VNXC2DKUEP2H.json","graph_json":"https://pith.science/api/pith-number/M7ZKDLKZISIIQ6VNXC2DKUEP2H/graph.json","events_json":"https://pith.science/api/pith-number/M7ZKDLKZISIIQ6VNXC2DKUEP2H/events.json","paper":"https://pith.science/paper/M7ZKDLKZ"},"agent_actions":{"view_html":"https://pith.science/pith/M7ZKDLKZISIIQ6VNXC2DKUEP2H","download_json":"https://pith.science/pith/M7ZKDLKZISIIQ6VNXC2DKUEP2H.json","view_paper":"https://pith.science/paper/M7ZKDLKZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.12145&json=true","fetch_graph":"https://pith.science/api/pith-number/M7ZKDLKZISIIQ6VNXC2DKUEP2H/graph.json","fetch_events":"https://pith.science/api/pith-number/M7ZKDLKZISIIQ6VNXC2DKUEP2H/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/M7ZKDLKZISIIQ6VNXC2DKUEP2H/action/timestamp_anchor","attest_storage":"https://pith.science/pith/M7ZKDLKZISIIQ6VNXC2DKUEP2H/action/storage_attestation","attest_author":"https://pith.science/pith/M7ZKDLKZISIIQ6VNXC2DKUEP2H/action/author_attestation","sign_citation":"https://pith.science/pith/M7ZKDLKZISIIQ6VNXC2DKUEP2H/action/citation_signature","submit_replication":"https://pith.science/pith/M7ZKDLKZISIIQ6VNXC2DKUEP2H/action/replication_record"}},"created_at":"2026-05-17T23:41:59.151947+00:00","updated_at":"2026-05-17T23:41:59.151947+00:00"}