{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:5T67P2STUWYXWF4E7MDWS3UDRM","short_pith_number":"pith:5T67P2ST","schema_version":"1.0","canonical_sha256":"ecfdf7ea53a5b17b1784fb07696e838b0aad27e1df1750a41a8f02ac26e18280","source":{"kind":"arxiv","id":"1601.03613","version":1},"attestation_state":"computed","paper":{"title":"Non-orthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Jinhong Yuan, Maged Elkashlan, Yuanwei Liu, Zhiguo Ding","submitted_at":"2016-01-14T15:07:24Z","abstract_excerpt":"In this paper, non-orthogonal multiple access (NOMA) is applied to large-scale underlay cognitive radio (CR) networks with randomly deployed users. In order to characterize the performance of the considered network, new closed-form expressions of the outage probability are derived using stochastic-geometry. More importantly, by carrying out the diversity analysis, new insights are obtained under the two scenarios with different power constraints: 1) fixed transmit power of the primary transmitters (PTs), and 2) transmit power of the PTs being proportional to that of the secondary base station."},"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":"1601.03613","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2016-01-14T15:07:24Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"6cce0ab4f7bf8141e9415b0d6c78e843f85b3549b796aee060d78188a56b122d","abstract_canon_sha256":"e6fe2a1141333972c96e57ec12101453b7994dc151d5032fb7c26ac78936a832"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:57:50.044636Z","signature_b64":"7Zmwot9rAYNK68zd8GTc/IJhOr3HYQ4p3n5JSgwWCWJ8tECAxZoCDE1riXVUXUIY+hlCKaPzJkyd7l5nMbO9Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ecfdf7ea53a5b17b1784fb07696e838b0aad27e1df1750a41a8f02ac26e18280","last_reissued_at":"2026-05-18T00:57:50.044105Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:57:50.044105Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Non-orthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Jinhong Yuan, Maged Elkashlan, Yuanwei Liu, Zhiguo Ding","submitted_at":"2016-01-14T15:07:24Z","abstract_excerpt":"In this paper, non-orthogonal multiple access (NOMA) is applied to large-scale underlay cognitive radio (CR) networks with randomly deployed users. In order to characterize the performance of the considered network, new closed-form expressions of the outage probability are derived using stochastic-geometry. More importantly, by carrying out the diversity analysis, new insights are obtained under the two scenarios with different power constraints: 1) fixed transmit power of the primary transmitters (PTs), and 2) transmit power of the PTs being proportional to that of the secondary base station."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.03613","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":"1601.03613","created_at":"2026-05-18T00:57:50.044191+00:00"},{"alias_kind":"arxiv_version","alias_value":"1601.03613v1","created_at":"2026-05-18T00:57:50.044191+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.03613","created_at":"2026-05-18T00:57:50.044191+00:00"},{"alias_kind":"pith_short_12","alias_value":"5T67P2STUWYX","created_at":"2026-05-18T12:30:01.593930+00:00"},{"alias_kind":"pith_short_16","alias_value":"5T67P2STUWYXWF4E","created_at":"2026-05-18T12:30:01.593930+00:00"},{"alias_kind":"pith_short_8","alias_value":"5T67P2ST","created_at":"2026-05-18T12:30:01.593930+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/5T67P2STUWYXWF4E7MDWS3UDRM","json":"https://pith.science/pith/5T67P2STUWYXWF4E7MDWS3UDRM.json","graph_json":"https://pith.science/api/pith-number/5T67P2STUWYXWF4E7MDWS3UDRM/graph.json","events_json":"https://pith.science/api/pith-number/5T67P2STUWYXWF4E7MDWS3UDRM/events.json","paper":"https://pith.science/paper/5T67P2ST"},"agent_actions":{"view_html":"https://pith.science/pith/5T67P2STUWYXWF4E7MDWS3UDRM","download_json":"https://pith.science/pith/5T67P2STUWYXWF4E7MDWS3UDRM.json","view_paper":"https://pith.science/paper/5T67P2ST","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1601.03613&json=true","fetch_graph":"https://pith.science/api/pith-number/5T67P2STUWYXWF4E7MDWS3UDRM/graph.json","fetch_events":"https://pith.science/api/pith-number/5T67P2STUWYXWF4E7MDWS3UDRM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5T67P2STUWYXWF4E7MDWS3UDRM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5T67P2STUWYXWF4E7MDWS3UDRM/action/storage_attestation","attest_author":"https://pith.science/pith/5T67P2STUWYXWF4E7MDWS3UDRM/action/author_attestation","sign_citation":"https://pith.science/pith/5T67P2STUWYXWF4E7MDWS3UDRM/action/citation_signature","submit_replication":"https://pith.science/pith/5T67P2STUWYXWF4E7MDWS3UDRM/action/replication_record"}},"created_at":"2026-05-18T00:57:50.044191+00:00","updated_at":"2026-05-18T00:57:50.044191+00:00"}