{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:BAW4PGSVFCBO22X7BOQCYQ4KKI","short_pith_number":"pith:BAW4PGSV","schema_version":"1.0","canonical_sha256":"082dc79a552882ed6aff0ba02c438a52379cae67a0dd07e0e6fca947e1cf7150","source":{"kind":"arxiv","id":"1806.00161","version":2},"attestation_state":"computed","paper":{"title":"Fast Channel Estimation and Beam Tracking for Millimeter Wave Vehicular Communications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Matthew Kokshoorn, Ming Ding, Rana Abbas, Shuping Dang, Sina Shaham, Zihuai Lin","submitted_at":"2018-06-01T01:32:18Z","abstract_excerpt":"Millimeter wave (mmWave) has been claimed to be the only viable solution for high-bandwidth vehicular communications. However, frequent channel estimation and beamforming required to provide a satisfactory quality of service limits mmWave for vehicular communications. In this paper, we propose a novel channel estimation and beam tracking framework for mmWave communications in a vehicular network setting. For channel estimation, we propose an algorithm termed robust adaptive multi-feedback (RAF) that achieves comparable estimation performance as existing channel estimation algorithms, with a si"},"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":"1806.00161","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-06-01T01:32:18Z","cross_cats_sorted":[],"title_canon_sha256":"c919a60b448cdf06f6857fad1cf56b932459e92a17b9f48acc12dbd912e8f5bb","abstract_canon_sha256":"7c36ef3cec59a085168a15b403890c4d86c11144deb919bb3b3af1dd2d502761"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:07:16.699481Z","signature_b64":"XezOSriFjQSr0GMa453crZh2W14cErHdovY/DNPlSGe8ab26okZKpAhHH6QlNMiYDHrDRIiY4Rs0ncp3Wj8dAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"082dc79a552882ed6aff0ba02c438a52379cae67a0dd07e0e6fca947e1cf7150","last_reissued_at":"2026-07-05T00:07:16.699063Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:07:16.699063Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Fast Channel Estimation and Beam Tracking for Millimeter Wave Vehicular Communications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Matthew Kokshoorn, Ming Ding, Rana Abbas, Shuping Dang, Sina Shaham, Zihuai Lin","submitted_at":"2018-06-01T01:32:18Z","abstract_excerpt":"Millimeter wave (mmWave) has been claimed to be the only viable solution for high-bandwidth vehicular communications. However, frequent channel estimation and beamforming required to provide a satisfactory quality of service limits mmWave for vehicular communications. In this paper, we propose a novel channel estimation and beam tracking framework for mmWave communications in a vehicular network setting. For channel estimation, we propose an algorithm termed robust adaptive multi-feedback (RAF) that achieves comparable estimation performance as existing channel estimation algorithms, with a si"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.00161","kind":"arxiv","version":2},"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/1806.00161/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":"1806.00161","created_at":"2026-07-05T00:07:16.699116+00:00"},{"alias_kind":"arxiv_version","alias_value":"1806.00161v2","created_at":"2026-07-05T00:07:16.699116+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.00161","created_at":"2026-07-05T00:07:16.699116+00:00"},{"alias_kind":"pith_short_12","alias_value":"BAW4PGSVFCBO","created_at":"2026-07-05T00:07:16.699116+00:00"},{"alias_kind":"pith_short_16","alias_value":"BAW4PGSVFCBO22X7","created_at":"2026-07-05T00:07:16.699116+00:00"},{"alias_kind":"pith_short_8","alias_value":"BAW4PGSV","created_at":"2026-07-05T00:07:16.699116+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"1907.00538","citing_title":"Beam Allocation for Millimeter-Wave MIMO Tracking Systems","ref_index":22,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BAW4PGSVFCBO22X7BOQCYQ4KKI","json":"https://pith.science/pith/BAW4PGSVFCBO22X7BOQCYQ4KKI.json","graph_json":"https://pith.science/api/pith-number/BAW4PGSVFCBO22X7BOQCYQ4KKI/graph.json","events_json":"https://pith.science/api/pith-number/BAW4PGSVFCBO22X7BOQCYQ4KKI/events.json","paper":"https://pith.science/paper/BAW4PGSV"},"agent_actions":{"view_html":"https://pith.science/pith/BAW4PGSVFCBO22X7BOQCYQ4KKI","download_json":"https://pith.science/pith/BAW4PGSVFCBO22X7BOQCYQ4KKI.json","view_paper":"https://pith.science/paper/BAW4PGSV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1806.00161&json=true","fetch_graph":"https://pith.science/api/pith-number/BAW4PGSVFCBO22X7BOQCYQ4KKI/graph.json","fetch_events":"https://pith.science/api/pith-number/BAW4PGSVFCBO22X7BOQCYQ4KKI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BAW4PGSVFCBO22X7BOQCYQ4KKI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BAW4PGSVFCBO22X7BOQCYQ4KKI/action/storage_attestation","attest_author":"https://pith.science/pith/BAW4PGSVFCBO22X7BOQCYQ4KKI/action/author_attestation","sign_citation":"https://pith.science/pith/BAW4PGSVFCBO22X7BOQCYQ4KKI/action/citation_signature","submit_replication":"https://pith.science/pith/BAW4PGSVFCBO22X7BOQCYQ4KKI/action/replication_record"}},"created_at":"2026-07-05T00:07:16.699116+00:00","updated_at":"2026-07-05T00:07:16.699116+00:00"}