{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:WPRNOBGJOL52DLGK4WTE3EJN4V","short_pith_number":"pith:WPRNOBGJ","schema_version":"1.0","canonical_sha256":"b3e2d704c972fba1accae5a64d912de544e4221db234b82e344d99caa41af4bc","source":{"kind":"arxiv","id":"1903.11849","version":1},"attestation_state":"computed","paper":{"title":"Inertial Sensor Aided mmWave Beam Tracking to Support Cooperative Autonomous Driving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","math.IT"],"primary_cat":"eess.SP","authors_text":"Mattia Brambilla, Monica Nicoli, Sergio Savaresi, Umberto Spagnolini","submitted_at":"2019-03-28T09:28:28Z","abstract_excerpt":"This paper presents an inertial sensor aided technique for beam alignment and tracking in massive multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) communications based on millimeter waves (mmWave). Since directional communications in vehicular scenarios are severely hindered by beam pointing issues, a beam alignment procedure has to be periodically carried out to guarantee the communication reliability. When dealing with massive MIMO links, the beam sweeping approach is known to be time consuming and often unfeasible due to latency constraints. To speed up the process, we propose"},"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":"1903.11849","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-03-28T09:28:28Z","cross_cats_sorted":["cs.IT","math.IT"],"title_canon_sha256":"55f7f1e429bec65eb278680145f5b87df973555736d7ffb79c48f1c182614003","abstract_canon_sha256":"5f7282d88fdecc4640aabc5e65db8ec93a4ee62a7c7fa15dd8d5c4ea17e7f77a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:23.552614Z","signature_b64":"R2uR3Wyal9abKH+JU57qb2FHDaANMWChn/XfvLUwQUFn4AgCID/nyaPv8zwdPGBaf3/8A5G9UoK+b2OgTP7cCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3e2d704c972fba1accae5a64d912de544e4221db234b82e344d99caa41af4bc","last_reissued_at":"2026-05-17T23:40:23.551943Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:23.551943Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Inertial Sensor Aided mmWave Beam Tracking to Support Cooperative Autonomous Driving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","math.IT"],"primary_cat":"eess.SP","authors_text":"Mattia Brambilla, Monica Nicoli, Sergio Savaresi, Umberto Spagnolini","submitted_at":"2019-03-28T09:28:28Z","abstract_excerpt":"This paper presents an inertial sensor aided technique for beam alignment and tracking in massive multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) communications based on millimeter waves (mmWave). Since directional communications in vehicular scenarios are severely hindered by beam pointing issues, a beam alignment procedure has to be periodically carried out to guarantee the communication reliability. When dealing with massive MIMO links, the beam sweeping approach is known to be time consuming and often unfeasible due to latency constraints. To speed up the process, we propose"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.11849","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":"1903.11849","created_at":"2026-05-17T23:40:23.552032+00:00"},{"alias_kind":"arxiv_version","alias_value":"1903.11849v1","created_at":"2026-05-17T23:40:23.552032+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.11849","created_at":"2026-05-17T23:40:23.552032+00:00"},{"alias_kind":"pith_short_12","alias_value":"WPRNOBGJOL52","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_16","alias_value":"WPRNOBGJOL52DLGK","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_8","alias_value":"WPRNOBGJ","created_at":"2026-05-18T12:33:30.264802+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/WPRNOBGJOL52DLGK4WTE3EJN4V","json":"https://pith.science/pith/WPRNOBGJOL52DLGK4WTE3EJN4V.json","graph_json":"https://pith.science/api/pith-number/WPRNOBGJOL52DLGK4WTE3EJN4V/graph.json","events_json":"https://pith.science/api/pith-number/WPRNOBGJOL52DLGK4WTE3EJN4V/events.json","paper":"https://pith.science/paper/WPRNOBGJ"},"agent_actions":{"view_html":"https://pith.science/pith/WPRNOBGJOL52DLGK4WTE3EJN4V","download_json":"https://pith.science/pith/WPRNOBGJOL52DLGK4WTE3EJN4V.json","view_paper":"https://pith.science/paper/WPRNOBGJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1903.11849&json=true","fetch_graph":"https://pith.science/api/pith-number/WPRNOBGJOL52DLGK4WTE3EJN4V/graph.json","fetch_events":"https://pith.science/api/pith-number/WPRNOBGJOL52DLGK4WTE3EJN4V/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WPRNOBGJOL52DLGK4WTE3EJN4V/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WPRNOBGJOL52DLGK4WTE3EJN4V/action/storage_attestation","attest_author":"https://pith.science/pith/WPRNOBGJOL52DLGK4WTE3EJN4V/action/author_attestation","sign_citation":"https://pith.science/pith/WPRNOBGJOL52DLGK4WTE3EJN4V/action/citation_signature","submit_replication":"https://pith.science/pith/WPRNOBGJOL52DLGK4WTE3EJN4V/action/replication_record"}},"created_at":"2026-05-17T23:40:23.552032+00:00","updated_at":"2026-05-17T23:40:23.552032+00:00"}