{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:K3YVAKEGQD7D3EOBNOAYXNRR7R","short_pith_number":"pith:K3YVAKEG","schema_version":"1.0","canonical_sha256":"56f150288680fe3d91c16b818bb631fc50816189f7d02c451a64f0fd1051d296","source":{"kind":"arxiv","id":"1205.1885","version":1},"attestation_state":"computed","paper":{"title":"Distributed Multicell Beamforming Design Approaching Pareto Boundary with Max-Min Fairness","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Bjorn Ottersten, Gan Zheng, Kai-Kit Wong, Luxi Yang, Mats Bengtsson, Yongming Huang","submitted_at":"2012-05-09T07:15:59Z","abstract_excerpt":"This paper addresses coordinated downlink beamforming optimization in multicell time-division duplex (TDD) systems where a small number of parameters are exchanged between cells but with no data sharing. With the goal to reach the point on the Pareto boundary with max-min rate fairness, we first develop a two-step centralized optimization algorithm to design the joint beamforming vectors. This algorithm can achieve a further sum-rate improvement over the max-min optimal performance, and is shown to guarantee max-min Pareto optimality for scenarios with two base stations (BSs) each serving a si"},"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":"1205.1885","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2012-05-09T07:15:59Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"45914616bc1bf94b64d0a53db73736181cebd43ea1a4b0bb14a15aa6cdbd8a43","abstract_canon_sha256":"8f5e8b2022486dd38952f548983cc280affa93afb5ed6ef1641653818bcca345"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:58:43.072485Z","signature_b64":"LR7IgwHUleQ7sMQfsqBIW2CSG6aQX3vIWUxMc9HcEGjmuworlhRzCPiOG1O6C0OqrAEppk+u7D4LZVlZw2RPDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"56f150288680fe3d91c16b818bb631fc50816189f7d02c451a64f0fd1051d296","last_reissued_at":"2026-05-18T00:58:43.071984Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:58:43.071984Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Distributed Multicell Beamforming Design Approaching Pareto Boundary with Max-Min Fairness","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Bjorn Ottersten, Gan Zheng, Kai-Kit Wong, Luxi Yang, Mats Bengtsson, Yongming Huang","submitted_at":"2012-05-09T07:15:59Z","abstract_excerpt":"This paper addresses coordinated downlink beamforming optimization in multicell time-division duplex (TDD) systems where a small number of parameters are exchanged between cells but with no data sharing. With the goal to reach the point on the Pareto boundary with max-min rate fairness, we first develop a two-step centralized optimization algorithm to design the joint beamforming vectors. This algorithm can achieve a further sum-rate improvement over the max-min optimal performance, and is shown to guarantee max-min Pareto optimality for scenarios with two base stations (BSs) each serving a si"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1205.1885","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":"1205.1885","created_at":"2026-05-18T00:58:43.072066+00:00"},{"alias_kind":"arxiv_version","alias_value":"1205.1885v1","created_at":"2026-05-18T00:58:43.072066+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1205.1885","created_at":"2026-05-18T00:58:43.072066+00:00"},{"alias_kind":"pith_short_12","alias_value":"K3YVAKEGQD7D","created_at":"2026-05-18T12:27:11.947152+00:00"},{"alias_kind":"pith_short_16","alias_value":"K3YVAKEGQD7D3EOB","created_at":"2026-05-18T12:27:11.947152+00:00"},{"alias_kind":"pith_short_8","alias_value":"K3YVAKEG","created_at":"2026-05-18T12:27:11.947152+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/K3YVAKEGQD7D3EOBNOAYXNRR7R","json":"https://pith.science/pith/K3YVAKEGQD7D3EOBNOAYXNRR7R.json","graph_json":"https://pith.science/api/pith-number/K3YVAKEGQD7D3EOBNOAYXNRR7R/graph.json","events_json":"https://pith.science/api/pith-number/K3YVAKEGQD7D3EOBNOAYXNRR7R/events.json","paper":"https://pith.science/paper/K3YVAKEG"},"agent_actions":{"view_html":"https://pith.science/pith/K3YVAKEGQD7D3EOBNOAYXNRR7R","download_json":"https://pith.science/pith/K3YVAKEGQD7D3EOBNOAYXNRR7R.json","view_paper":"https://pith.science/paper/K3YVAKEG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1205.1885&json=true","fetch_graph":"https://pith.science/api/pith-number/K3YVAKEGQD7D3EOBNOAYXNRR7R/graph.json","fetch_events":"https://pith.science/api/pith-number/K3YVAKEGQD7D3EOBNOAYXNRR7R/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/K3YVAKEGQD7D3EOBNOAYXNRR7R/action/timestamp_anchor","attest_storage":"https://pith.science/pith/K3YVAKEGQD7D3EOBNOAYXNRR7R/action/storage_attestation","attest_author":"https://pith.science/pith/K3YVAKEGQD7D3EOBNOAYXNRR7R/action/author_attestation","sign_citation":"https://pith.science/pith/K3YVAKEGQD7D3EOBNOAYXNRR7R/action/citation_signature","submit_replication":"https://pith.science/pith/K3YVAKEGQD7D3EOBNOAYXNRR7R/action/replication_record"}},"created_at":"2026-05-18T00:58:43.072066+00:00","updated_at":"2026-05-18T00:58:43.072066+00:00"}