{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:6VZVEUVTYM4CJHVIHDNTAGTERR","short_pith_number":"pith:6VZVEUVT","schema_version":"1.0","canonical_sha256":"f5735252b3c338249ea838db301a648c41912cca533974b6b736604378ce5150","source":{"kind":"arxiv","id":"1511.07311","version":3},"attestation_state":"computed","paper":{"title":"Propagation Path Loss Models for 5G Urban Micro- and Macro-Cellular Scenarios","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Amitava Ghosh, Andrzej Partyka, Ignacio Rodriguez, Istvan Z. Kovacs, Jan Jarvelainen, Ozge Koymen, Shu Sun, Sundeep Rangan, Theodore S. Rappaport, Timothy A. Thomas","submitted_at":"2015-11-23T16:56:21Z","abstract_excerpt":"This paper presents and compares two candidate large-scale propagation path loss models, the alpha-beta-gamma (ABG) model and the close-in (CI) free space reference distance model, for the design of fifth generation (5G) wireless communication systems in urban micro- and macro-cellular scenarios. Comparisons are made using the data obtained from 20 propagation measurement campaigns or ray-tracing studies from 2 GHz to 73.5 GHz over distances ranging from 5 m to 1429 m. The results show that the one-parameter CI model has a very similar goodness of fit (i.e., the shadow fading standard deviatio"},"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":"1511.07311","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2015-11-23T16:56:21Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"f45e173cd811c9a16c17b6237f4a39f6e87c4471fca9d97af0075701879d7e30","abstract_canon_sha256":"3675a27f3c2c7a22f26e77d5d54542b0dbe8d9b1f3a9c1f3b0464c010ba89354"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:58:09.989637Z","signature_b64":"LM6c9OsOCUbO65lCh01jQl0lUfkbbdKZas4m7sJDozGXesjmIXflyQMgqTfxLEMnPTM2F2hRCOvru/f+CmfWCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f5735252b3c338249ea838db301a648c41912cca533974b6b736604378ce5150","last_reissued_at":"2026-05-18T00:58:09.989179Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:58:09.989179Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Propagation Path Loss Models for 5G Urban Micro- and Macro-Cellular Scenarios","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Amitava Ghosh, Andrzej Partyka, Ignacio Rodriguez, Istvan Z. Kovacs, Jan Jarvelainen, Ozge Koymen, Shu Sun, Sundeep Rangan, Theodore S. Rappaport, Timothy A. Thomas","submitted_at":"2015-11-23T16:56:21Z","abstract_excerpt":"This paper presents and compares two candidate large-scale propagation path loss models, the alpha-beta-gamma (ABG) model and the close-in (CI) free space reference distance model, for the design of fifth generation (5G) wireless communication systems in urban micro- and macro-cellular scenarios. Comparisons are made using the data obtained from 20 propagation measurement campaigns or ray-tracing studies from 2 GHz to 73.5 GHz over distances ranging from 5 m to 1429 m. The results show that the one-parameter CI model has a very similar goodness of fit (i.e., the shadow fading standard deviatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.07311","kind":"arxiv","version":3},"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":"1511.07311","created_at":"2026-05-18T00:58:09.989245+00:00"},{"alias_kind":"arxiv_version","alias_value":"1511.07311v3","created_at":"2026-05-18T00:58:09.989245+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.07311","created_at":"2026-05-18T00:58:09.989245+00:00"},{"alias_kind":"pith_short_12","alias_value":"6VZVEUVTYM4C","created_at":"2026-05-18T12:29:07.941421+00:00"},{"alias_kind":"pith_short_16","alias_value":"6VZVEUVTYM4CJHVI","created_at":"2026-05-18T12:29:07.941421+00:00"},{"alias_kind":"pith_short_8","alias_value":"6VZVEUVT","created_at":"2026-05-18T12:29:07.941421+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/6VZVEUVTYM4CJHVIHDNTAGTERR","json":"https://pith.science/pith/6VZVEUVTYM4CJHVIHDNTAGTERR.json","graph_json":"https://pith.science/api/pith-number/6VZVEUVTYM4CJHVIHDNTAGTERR/graph.json","events_json":"https://pith.science/api/pith-number/6VZVEUVTYM4CJHVIHDNTAGTERR/events.json","paper":"https://pith.science/paper/6VZVEUVT"},"agent_actions":{"view_html":"https://pith.science/pith/6VZVEUVTYM4CJHVIHDNTAGTERR","download_json":"https://pith.science/pith/6VZVEUVTYM4CJHVIHDNTAGTERR.json","view_paper":"https://pith.science/paper/6VZVEUVT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1511.07311&json=true","fetch_graph":"https://pith.science/api/pith-number/6VZVEUVTYM4CJHVIHDNTAGTERR/graph.json","fetch_events":"https://pith.science/api/pith-number/6VZVEUVTYM4CJHVIHDNTAGTERR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6VZVEUVTYM4CJHVIHDNTAGTERR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6VZVEUVTYM4CJHVIHDNTAGTERR/action/storage_attestation","attest_author":"https://pith.science/pith/6VZVEUVTYM4CJHVIHDNTAGTERR/action/author_attestation","sign_citation":"https://pith.science/pith/6VZVEUVTYM4CJHVIHDNTAGTERR/action/citation_signature","submit_replication":"https://pith.science/pith/6VZVEUVTYM4CJHVIHDNTAGTERR/action/replication_record"}},"created_at":"2026-05-18T00:58:09.989245+00:00","updated_at":"2026-05-18T00:58:09.989245+00:00"}