{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:H6JAJLIX2BPT2RPCA4KJWZCJ3K","short_pith_number":"pith:H6JAJLIX","schema_version":"1.0","canonical_sha256":"3f9204ad17d05f3d45e207149b6449da91ee56b25b977bef6a06b4e0099301e5","source":{"kind":"arxiv","id":"1907.01064","version":1},"attestation_state":"computed","paper":{"title":"Channel-Correlation-Enabled Transmit Optimization for MISO Wiretap Channels","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","math.IT"],"primary_cat":"cs.IT","authors_text":"Lei He, Sai Xu, Shuai Han, Weixiao Meng","submitted_at":"2019-06-28T13:15:02Z","abstract_excerpt":"An artificial-noise (AN)-aided beamformer specific to correlated main and wiretap channels is designed in this paper. We consider slow-fading multiple-input-single-output (MISO) wiretap channels with a passive single-antenna eavesdropper, in which independent transmitter-side and correlated receiver-side are assumed. Additionally, the source has accurate main channel information and statistical wiretap channel information. To reduce the secrecy loss due to receiver-side correlation, this paper proposes the scheme of channel-correlation-enabled transmit optimization. Particularly, the correlati"},"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":"1907.01064","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2019-06-28T13:15:02Z","cross_cats_sorted":["cs.CR","math.IT"],"title_canon_sha256":"ecdfb28a47e7f752d331230856843a20766b1c24593b81f261c8d7c6362a281a","abstract_canon_sha256":"b204b2e0ab66e3486bd543661ad7a792b58b8d9e9534dfddcb603c48c7e0b5e7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:41:41.346574Z","signature_b64":"9y2q0VjVHa92ud+OE2wJMHKh7a7qCdOT+0r2eu/RrWqrC/YMiWhghIjmKYAyV1HI+V8RAs4as/Q9upRTOVWbBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3f9204ad17d05f3d45e207149b6449da91ee56b25b977bef6a06b4e0099301e5","last_reissued_at":"2026-05-17T23:41:41.345668Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:41:41.345668Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Channel-Correlation-Enabled Transmit Optimization for MISO Wiretap Channels","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","math.IT"],"primary_cat":"cs.IT","authors_text":"Lei He, Sai Xu, Shuai Han, Weixiao Meng","submitted_at":"2019-06-28T13:15:02Z","abstract_excerpt":"An artificial-noise (AN)-aided beamformer specific to correlated main and wiretap channels is designed in this paper. We consider slow-fading multiple-input-single-output (MISO) wiretap channels with a passive single-antenna eavesdropper, in which independent transmitter-side and correlated receiver-side are assumed. Additionally, the source has accurate main channel information and statistical wiretap channel information. To reduce the secrecy loss due to receiver-side correlation, this paper proposes the scheme of channel-correlation-enabled transmit optimization. Particularly, the correlati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.01064","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":"1907.01064","created_at":"2026-05-17T23:41:41.345828+00:00"},{"alias_kind":"arxiv_version","alias_value":"1907.01064v1","created_at":"2026-05-17T23:41:41.345828+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.01064","created_at":"2026-05-17T23:41:41.345828+00:00"},{"alias_kind":"pith_short_12","alias_value":"H6JAJLIX2BPT","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_16","alias_value":"H6JAJLIX2BPT2RPC","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_8","alias_value":"H6JAJLIX","created_at":"2026-05-18T12:33:18.533446+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/H6JAJLIX2BPT2RPCA4KJWZCJ3K","json":"https://pith.science/pith/H6JAJLIX2BPT2RPCA4KJWZCJ3K.json","graph_json":"https://pith.science/api/pith-number/H6JAJLIX2BPT2RPCA4KJWZCJ3K/graph.json","events_json":"https://pith.science/api/pith-number/H6JAJLIX2BPT2RPCA4KJWZCJ3K/events.json","paper":"https://pith.science/paper/H6JAJLIX"},"agent_actions":{"view_html":"https://pith.science/pith/H6JAJLIX2BPT2RPCA4KJWZCJ3K","download_json":"https://pith.science/pith/H6JAJLIX2BPT2RPCA4KJWZCJ3K.json","view_paper":"https://pith.science/paper/H6JAJLIX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1907.01064&json=true","fetch_graph":"https://pith.science/api/pith-number/H6JAJLIX2BPT2RPCA4KJWZCJ3K/graph.json","fetch_events":"https://pith.science/api/pith-number/H6JAJLIX2BPT2RPCA4KJWZCJ3K/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/H6JAJLIX2BPT2RPCA4KJWZCJ3K/action/timestamp_anchor","attest_storage":"https://pith.science/pith/H6JAJLIX2BPT2RPCA4KJWZCJ3K/action/storage_attestation","attest_author":"https://pith.science/pith/H6JAJLIX2BPT2RPCA4KJWZCJ3K/action/author_attestation","sign_citation":"https://pith.science/pith/H6JAJLIX2BPT2RPCA4KJWZCJ3K/action/citation_signature","submit_replication":"https://pith.science/pith/H6JAJLIX2BPT2RPCA4KJWZCJ3K/action/replication_record"}},"created_at":"2026-05-17T23:41:41.345828+00:00","updated_at":"2026-05-17T23:41:41.345828+00:00"}