{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:EUN2PXIYRQHEERUI5LJGX4LABY","short_pith_number":"pith:EUN2PXIY","schema_version":"1.0","canonical_sha256":"251ba7dd188c0e424688ead26bf1600e1a1b05055822b55f9f0e8dba5b29188d","source":{"kind":"arxiv","id":"1610.05482","version":2},"attestation_state":"computed","paper":{"title":"Conic Quadratic Formulations for Wireless Communications Design","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Een-Kee Hong, Le-Nam Tran, Markku Juntti, Quang-Doanh Vu","submitted_at":"2016-10-18T08:46:55Z","abstract_excerpt":"As a wide class of resource management problems in wireless communications are nonconvex and even NP-hard in many cases, finding globally optimal solutions to these problems is of little practical interest. Towards more pragmatic approaches, there is a rich literature on iterative methods aiming at finding a solution satisfying necessary optimality conditions to these problems. These approaches have been derived under several similar mathematical frameworks such as inner approximation algorithm, concave-convex procedure, majorization-minimization algorithm, and successive convex approximation "},"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":"1610.05482","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2016-10-18T08:46:55Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"73a18ec1b67cee1b9c79380739ffc521207162e48c70615d822eda75982930af","abstract_canon_sha256":"ddffbf312d0c2fdbd6b8ed9a30deacd77a8a5dce486008a114bb2a863b6108a6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:46:22.463330Z","signature_b64":"PuFsH6FO8tuJg7PED0es/tf0pEk4/Hcn90Jdi3uvX3S+qH3AkhxghQRp4HgvvVU0rUywSQqtyRT1c2UxpKAWCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"251ba7dd188c0e424688ead26bf1600e1a1b05055822b55f9f0e8dba5b29188d","last_reissued_at":"2026-05-18T00:46:22.462843Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:46:22.462843Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Conic Quadratic Formulations for Wireless Communications Design","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Een-Kee Hong, Le-Nam Tran, Markku Juntti, Quang-Doanh Vu","submitted_at":"2016-10-18T08:46:55Z","abstract_excerpt":"As a wide class of resource management problems in wireless communications are nonconvex and even NP-hard in many cases, finding globally optimal solutions to these problems is of little practical interest. Towards more pragmatic approaches, there is a rich literature on iterative methods aiming at finding a solution satisfying necessary optimality conditions to these problems. These approaches have been derived under several similar mathematical frameworks such as inner approximation algorithm, concave-convex procedure, majorization-minimization algorithm, and successive convex approximation "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.05482","kind":"arxiv","version":2},"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":"1610.05482","created_at":"2026-05-18T00:46:22.462911+00:00"},{"alias_kind":"arxiv_version","alias_value":"1610.05482v2","created_at":"2026-05-18T00:46:22.462911+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.05482","created_at":"2026-05-18T00:46:22.462911+00:00"},{"alias_kind":"pith_short_12","alias_value":"EUN2PXIYRQHE","created_at":"2026-05-18T12:30:15.759754+00:00"},{"alias_kind":"pith_short_16","alias_value":"EUN2PXIYRQHEERUI","created_at":"2026-05-18T12:30:15.759754+00:00"},{"alias_kind":"pith_short_8","alias_value":"EUN2PXIY","created_at":"2026-05-18T12:30:15.759754+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/EUN2PXIYRQHEERUI5LJGX4LABY","json":"https://pith.science/pith/EUN2PXIYRQHEERUI5LJGX4LABY.json","graph_json":"https://pith.science/api/pith-number/EUN2PXIYRQHEERUI5LJGX4LABY/graph.json","events_json":"https://pith.science/api/pith-number/EUN2PXIYRQHEERUI5LJGX4LABY/events.json","paper":"https://pith.science/paper/EUN2PXIY"},"agent_actions":{"view_html":"https://pith.science/pith/EUN2PXIYRQHEERUI5LJGX4LABY","download_json":"https://pith.science/pith/EUN2PXIYRQHEERUI5LJGX4LABY.json","view_paper":"https://pith.science/paper/EUN2PXIY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1610.05482&json=true","fetch_graph":"https://pith.science/api/pith-number/EUN2PXIYRQHEERUI5LJGX4LABY/graph.json","fetch_events":"https://pith.science/api/pith-number/EUN2PXIYRQHEERUI5LJGX4LABY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EUN2PXIYRQHEERUI5LJGX4LABY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EUN2PXIYRQHEERUI5LJGX4LABY/action/storage_attestation","attest_author":"https://pith.science/pith/EUN2PXIYRQHEERUI5LJGX4LABY/action/author_attestation","sign_citation":"https://pith.science/pith/EUN2PXIYRQHEERUI5LJGX4LABY/action/citation_signature","submit_replication":"https://pith.science/pith/EUN2PXIYRQHEERUI5LJGX4LABY/action/replication_record"}},"created_at":"2026-05-18T00:46:22.462911+00:00","updated_at":"2026-05-18T00:46:22.462911+00:00"}