{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:JBMILOABY53YQEZOBW5TUR6MU2","short_pith_number":"pith:JBMILOAB","schema_version":"1.0","canonical_sha256":"485885b801c77788132e0dbb3a47cca6b6461dff861e670cd577c69806bdd800","source":{"kind":"arxiv","id":"1606.05931","version":1},"attestation_state":"computed","paper":{"title":"Analytical Coverage Probability of a Typical User In Heterogeneous Cellular Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Kumbesan Sandrasegaran, Sinh Cong Lam","submitted_at":"2016-06-20T00:35:21Z","abstract_excerpt":"In a Poisson Point Process (PPP) network model, in which the locations of Base Stations (BSs) are randomly distributed according to a Spatial Poisson Process, has been recently used as a tractable stochastic model to analyse the performance of downlink Heterogeneous Cellular Networks (HCNs). The HCN is modelled as a multi-tier cellular network where each tier is characterised by the transmission power level, propagation path loss exponent and density of BSs. The current works on HCN enabling Intercell Interference Coordination (ICIC) technique usually deal with Strict Frequency Reuse (FR) or S"},"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":"1606.05931","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2016-06-20T00:35:21Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"7d3782846d45cb8ed3491be2d9c05651311f48b3f962f775e20d2e0a1c43a567","abstract_canon_sha256":"725be47a72da8057c299fba88abf41403100df02fd024704f7830f9d4afa6580"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:12:15.785667Z","signature_b64":"KrkPWrk8aZTsbTAAe7Sl4Y0fDUVATXIIWcum2x/5CFyNa20CzRgEw962DR1nB9iwD795VEaodwSo/yHK2v+8AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"485885b801c77788132e0dbb3a47cca6b6461dff861e670cd577c69806bdd800","last_reissued_at":"2026-05-18T01:12:15.785295Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:12:15.785295Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Analytical Coverage Probability of a Typical User In Heterogeneous Cellular Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Kumbesan Sandrasegaran, Sinh Cong Lam","submitted_at":"2016-06-20T00:35:21Z","abstract_excerpt":"In a Poisson Point Process (PPP) network model, in which the locations of Base Stations (BSs) are randomly distributed according to a Spatial Poisson Process, has been recently used as a tractable stochastic model to analyse the performance of downlink Heterogeneous Cellular Networks (HCNs). The HCN is modelled as a multi-tier cellular network where each tier is characterised by the transmission power level, propagation path loss exponent and density of BSs. The current works on HCN enabling Intercell Interference Coordination (ICIC) technique usually deal with Strict Frequency Reuse (FR) or S"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.05931","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":"1606.05931","created_at":"2026-05-18T01:12:15.785363+00:00"},{"alias_kind":"arxiv_version","alias_value":"1606.05931v1","created_at":"2026-05-18T01:12:15.785363+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.05931","created_at":"2026-05-18T01:12:15.785363+00:00"},{"alias_kind":"pith_short_12","alias_value":"JBMILOABY53Y","created_at":"2026-05-18T12:30:22.444734+00:00"},{"alias_kind":"pith_short_16","alias_value":"JBMILOABY53YQEZO","created_at":"2026-05-18T12:30:22.444734+00:00"},{"alias_kind":"pith_short_8","alias_value":"JBMILOAB","created_at":"2026-05-18T12:30:22.444734+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/JBMILOABY53YQEZOBW5TUR6MU2","json":"https://pith.science/pith/JBMILOABY53YQEZOBW5TUR6MU2.json","graph_json":"https://pith.science/api/pith-number/JBMILOABY53YQEZOBW5TUR6MU2/graph.json","events_json":"https://pith.science/api/pith-number/JBMILOABY53YQEZOBW5TUR6MU2/events.json","paper":"https://pith.science/paper/JBMILOAB"},"agent_actions":{"view_html":"https://pith.science/pith/JBMILOABY53YQEZOBW5TUR6MU2","download_json":"https://pith.science/pith/JBMILOABY53YQEZOBW5TUR6MU2.json","view_paper":"https://pith.science/paper/JBMILOAB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1606.05931&json=true","fetch_graph":"https://pith.science/api/pith-number/JBMILOABY53YQEZOBW5TUR6MU2/graph.json","fetch_events":"https://pith.science/api/pith-number/JBMILOABY53YQEZOBW5TUR6MU2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JBMILOABY53YQEZOBW5TUR6MU2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JBMILOABY53YQEZOBW5TUR6MU2/action/storage_attestation","attest_author":"https://pith.science/pith/JBMILOABY53YQEZOBW5TUR6MU2/action/author_attestation","sign_citation":"https://pith.science/pith/JBMILOABY53YQEZOBW5TUR6MU2/action/citation_signature","submit_replication":"https://pith.science/pith/JBMILOABY53YQEZOBW5TUR6MU2/action/replication_record"}},"created_at":"2026-05-18T01:12:15.785363+00:00","updated_at":"2026-05-18T01:12:15.785363+00:00"}