{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:3JGNO3KXIX5HFTQ23KCW5JT5DU","short_pith_number":"pith:3JGNO3KX","schema_version":"1.0","canonical_sha256":"da4cd76d5745fa72ce1ada856ea67d1d2a39baf5518daf9e7221bd2ab2b92e0b","source":{"kind":"arxiv","id":"1604.02960","version":1},"attestation_state":"computed","paper":{"title":"Unified Stochastic Geometry Model for MIMO Cellular Networks with Retransmissions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Hesham ElSawy, Laila Hesham Afify, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri","submitted_at":"2016-04-11T13:55:31Z","abstract_excerpt":"This paper presents a unified mathematical paradigm, based on stochastic geometry, for downlink cellular networks with multiple-input-multiple-output (MIMO) base stations (BSs). The developed paradigm accounts for signal retransmission upon decoding errors, in which the temporal correlation among the signal-to-interference plus-noise-ratio (SINR) of the original and retransmitted signals is captured. In addition to modeling the effect of retransmission on the network performance, the developed mathematical model presents twofold analysis unification for MIMO cellular networks literature. First"},"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":"1604.02960","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2016-04-11T13:55:31Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"efd8851a67a7e6c2549819ab3c299b225146e5559bf54c178160487f78d533a4","abstract_canon_sha256":"52e1e01b63320dc95f5eaf33d02cff09e5a6bb0303049c6184611fa19c452da3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:17:21.755617Z","signature_b64":"BQI286vV6fHjFAyty5HRX5+/EeHStEfb9q+FoX8OX/27Mvfn0MMLZgv2iXWW8aZZ5G2zVm3OTB6pZQly7yNhCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da4cd76d5745fa72ce1ada856ea67d1d2a39baf5518daf9e7221bd2ab2b92e0b","last_reissued_at":"2026-05-18T01:17:21.755202Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:17:21.755202Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Unified Stochastic Geometry Model for MIMO Cellular Networks with Retransmissions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Hesham ElSawy, Laila Hesham Afify, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri","submitted_at":"2016-04-11T13:55:31Z","abstract_excerpt":"This paper presents a unified mathematical paradigm, based on stochastic geometry, for downlink cellular networks with multiple-input-multiple-output (MIMO) base stations (BSs). The developed paradigm accounts for signal retransmission upon decoding errors, in which the temporal correlation among the signal-to-interference plus-noise-ratio (SINR) of the original and retransmitted signals is captured. In addition to modeling the effect of retransmission on the network performance, the developed mathematical model presents twofold analysis unification for MIMO cellular networks literature. First"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.02960","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":"1604.02960","created_at":"2026-05-18T01:17:21.755263+00:00"},{"alias_kind":"arxiv_version","alias_value":"1604.02960v1","created_at":"2026-05-18T01:17:21.755263+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.02960","created_at":"2026-05-18T01:17:21.755263+00:00"},{"alias_kind":"pith_short_12","alias_value":"3JGNO3KXIX5H","created_at":"2026-05-18T12:29:55.572404+00:00"},{"alias_kind":"pith_short_16","alias_value":"3JGNO3KXIX5HFTQ2","created_at":"2026-05-18T12:29:55.572404+00:00"},{"alias_kind":"pith_short_8","alias_value":"3JGNO3KX","created_at":"2026-05-18T12:29:55.572404+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/3JGNO3KXIX5HFTQ23KCW5JT5DU","json":"https://pith.science/pith/3JGNO3KXIX5HFTQ23KCW5JT5DU.json","graph_json":"https://pith.science/api/pith-number/3JGNO3KXIX5HFTQ23KCW5JT5DU/graph.json","events_json":"https://pith.science/api/pith-number/3JGNO3KXIX5HFTQ23KCW5JT5DU/events.json","paper":"https://pith.science/paper/3JGNO3KX"},"agent_actions":{"view_html":"https://pith.science/pith/3JGNO3KXIX5HFTQ23KCW5JT5DU","download_json":"https://pith.science/pith/3JGNO3KXIX5HFTQ23KCW5JT5DU.json","view_paper":"https://pith.science/paper/3JGNO3KX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1604.02960&json=true","fetch_graph":"https://pith.science/api/pith-number/3JGNO3KXIX5HFTQ23KCW5JT5DU/graph.json","fetch_events":"https://pith.science/api/pith-number/3JGNO3KXIX5HFTQ23KCW5JT5DU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3JGNO3KXIX5HFTQ23KCW5JT5DU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3JGNO3KXIX5HFTQ23KCW5JT5DU/action/storage_attestation","attest_author":"https://pith.science/pith/3JGNO3KXIX5HFTQ23KCW5JT5DU/action/author_attestation","sign_citation":"https://pith.science/pith/3JGNO3KXIX5HFTQ23KCW5JT5DU/action/citation_signature","submit_replication":"https://pith.science/pith/3JGNO3KXIX5HFTQ23KCW5JT5DU/action/replication_record"}},"created_at":"2026-05-18T01:17:21.755263+00:00","updated_at":"2026-05-18T01:17:21.755263+00:00"}