{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:JVQWUU2LOL3IRB2R5W75O7QVPT","short_pith_number":"pith:JVQWUU2L","schema_version":"1.0","canonical_sha256":"4d616a534b72f6888751edbfd77e157cdf5db905e4adb714828c53f4f3266a7a","source":{"kind":"arxiv","id":"1811.02202","version":1},"attestation_state":"computed","paper":{"title":"On-the-fly Large-scale Channel-Gain Estimation for Massive Antenna-Array Base Stations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Chenwei Wang, Giuseppe Caire, Haralabos Papadopoulos, Ozgun Y. Bursalioglu","submitted_at":"2018-11-06T07:25:34Z","abstract_excerpt":"We propose a novel scheme for estimating the large-scale gains of the channels between user terminals (UTs) and base stations (BSs) in a cellular system. The scheme leverages TDD operation, uplink (UL) training by means of properly designed non-orthogonal pilot codes, and massive antenna arrays at the BSs. Subject to Q resource elements allocated for UL training and using the new scheme, a BS is able to estimate the large-scale channel gains of K users transmitting UL pilots in its cell and in nearby cells, provided K<=Q^2. Such knowledge of the large-scale channel gains of nearby out-of-cells"},"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":"1811.02202","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-11-06T07:25:34Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"ecd3e45919bae162bc3d4f0410f25276d6937155a104b94d3706e6ed3186ca33","abstract_canon_sha256":"3dd52936f8202985391a52462655d780c8605188868f8ab92ab80e00ff812d70"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:01:24.850958Z","signature_b64":"i0s/5IvSI/RGOTibBWyCqkzN+t+SoGjgJEAKu2InwgWTfP8oPyUjgWgs5SeNIWXo/HZUgsZrCol1qp8sA5Z1CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4d616a534b72f6888751edbfd77e157cdf5db905e4adb714828c53f4f3266a7a","last_reissued_at":"2026-05-18T00:01:24.850539Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:01:24.850539Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"On-the-fly Large-scale Channel-Gain Estimation for Massive Antenna-Array Base Stations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Chenwei Wang, Giuseppe Caire, Haralabos Papadopoulos, Ozgun Y. Bursalioglu","submitted_at":"2018-11-06T07:25:34Z","abstract_excerpt":"We propose a novel scheme for estimating the large-scale gains of the channels between user terminals (UTs) and base stations (BSs) in a cellular system. The scheme leverages TDD operation, uplink (UL) training by means of properly designed non-orthogonal pilot codes, and massive antenna arrays at the BSs. Subject to Q resource elements allocated for UL training and using the new scheme, a BS is able to estimate the large-scale channel gains of K users transmitting UL pilots in its cell and in nearby cells, provided K<=Q^2. Such knowledge of the large-scale channel gains of nearby out-of-cells"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.02202","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":"1811.02202","created_at":"2026-05-18T00:01:24.850596+00:00"},{"alias_kind":"arxiv_version","alias_value":"1811.02202v1","created_at":"2026-05-18T00:01:24.850596+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.02202","created_at":"2026-05-18T00:01:24.850596+00:00"},{"alias_kind":"pith_short_12","alias_value":"JVQWUU2LOL3I","created_at":"2026-05-18T12:32:33.847187+00:00"},{"alias_kind":"pith_short_16","alias_value":"JVQWUU2LOL3IRB2R","created_at":"2026-05-18T12:32:33.847187+00:00"},{"alias_kind":"pith_short_8","alias_value":"JVQWUU2L","created_at":"2026-05-18T12:32:33.847187+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/JVQWUU2LOL3IRB2R5W75O7QVPT","json":"https://pith.science/pith/JVQWUU2LOL3IRB2R5W75O7QVPT.json","graph_json":"https://pith.science/api/pith-number/JVQWUU2LOL3IRB2R5W75O7QVPT/graph.json","events_json":"https://pith.science/api/pith-number/JVQWUU2LOL3IRB2R5W75O7QVPT/events.json","paper":"https://pith.science/paper/JVQWUU2L"},"agent_actions":{"view_html":"https://pith.science/pith/JVQWUU2LOL3IRB2R5W75O7QVPT","download_json":"https://pith.science/pith/JVQWUU2LOL3IRB2R5W75O7QVPT.json","view_paper":"https://pith.science/paper/JVQWUU2L","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1811.02202&json=true","fetch_graph":"https://pith.science/api/pith-number/JVQWUU2LOL3IRB2R5W75O7QVPT/graph.json","fetch_events":"https://pith.science/api/pith-number/JVQWUU2LOL3IRB2R5W75O7QVPT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JVQWUU2LOL3IRB2R5W75O7QVPT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JVQWUU2LOL3IRB2R5W75O7QVPT/action/storage_attestation","attest_author":"https://pith.science/pith/JVQWUU2LOL3IRB2R5W75O7QVPT/action/author_attestation","sign_citation":"https://pith.science/pith/JVQWUU2LOL3IRB2R5W75O7QVPT/action/citation_signature","submit_replication":"https://pith.science/pith/JVQWUU2LOL3IRB2R5W75O7QVPT/action/replication_record"}},"created_at":"2026-05-18T00:01:24.850596+00:00","updated_at":"2026-05-18T00:01:24.850596+00:00"}