{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:7U365OJN2ZZIT3IV3YAJ7IFXD4","short_pith_number":"pith:7U365OJN","schema_version":"1.0","canonical_sha256":"fd37eeb92dd67289ed15de009fa0b71f08149b7dab497c97218b51274d96dff2","source":{"kind":"arxiv","id":"2112.02305","version":1},"attestation_state":"computed","paper":{"title":"Deep-Unfolding Beamforming for Intelligent Reflecting Surface assisted Full-Duplex Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Geoffrey Ye Li, Guanding Yu, Qiyu Hu, Yanzhen Liu, Yunlong Cai","submitted_at":"2021-12-04T10:45:08Z","abstract_excerpt":"In this paper, we investigate an intelligent reflecting surface (IRS) assisted multi-user multiple-input multiple-output (MIMO) full-duplex (FD) system. We jointly optimize the active beamforming matrices at the access point (AP) and uplink users, and the passive beamforming matrix at the IRS to maximize the weighted sum-rate of the system. Since it is practically difficult to acquire the channel state information (CSI) for IRS-related links due to its passive operation and large number of elements, we conceive a mixed-timescale beamforming scheme. Specifically, the high-dimensional passive be"},"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":"2112.02305","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2021-12-04T10:45:08Z","cross_cats_sorted":[],"title_canon_sha256":"7c4a3750ea31b30148ea3d1b7978079b9519ea36ccbdbf94ee5dbac6f208e863","abstract_canon_sha256":"3cb540e7a702bff015e304da2ae1b08b33287a5bbd6cf67bc757a2f5c75d1c70"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:37:50.992051Z","signature_b64":"LtcwRcXlTseWrCB17YGAxXFfiVKR/5fFORXIAkfB8pMG8I7jh0QCVa1ezUiYnT4YaVgt0YJ/mywOs54WHhfvDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fd37eeb92dd67289ed15de009fa0b71f08149b7dab497c97218b51274d96dff2","last_reissued_at":"2026-07-05T03:37:50.991687Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:37:50.991687Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Deep-Unfolding Beamforming for Intelligent Reflecting Surface assisted Full-Duplex Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Geoffrey Ye Li, Guanding Yu, Qiyu Hu, Yanzhen Liu, Yunlong Cai","submitted_at":"2021-12-04T10:45:08Z","abstract_excerpt":"In this paper, we investigate an intelligent reflecting surface (IRS) assisted multi-user multiple-input multiple-output (MIMO) full-duplex (FD) system. We jointly optimize the active beamforming matrices at the access point (AP) and uplink users, and the passive beamforming matrix at the IRS to maximize the weighted sum-rate of the system. Since it is practically difficult to acquire the channel state information (CSI) for IRS-related links due to its passive operation and large number of elements, we conceive a mixed-timescale beamforming scheme. Specifically, the high-dimensional passive be"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.02305","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2112.02305/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2112.02305","created_at":"2026-07-05T03:37:50.991743+00:00"},{"alias_kind":"arxiv_version","alias_value":"2112.02305v1","created_at":"2026-07-05T03:37:50.991743+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.02305","created_at":"2026-07-05T03:37:50.991743+00:00"},{"alias_kind":"pith_short_12","alias_value":"7U365OJN2ZZI","created_at":"2026-07-05T03:37:50.991743+00:00"},{"alias_kind":"pith_short_16","alias_value":"7U365OJN2ZZIT3IV","created_at":"2026-07-05T03:37:50.991743+00:00"},{"alias_kind":"pith_short_8","alias_value":"7U365OJN","created_at":"2026-07-05T03:37:50.991743+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/7U365OJN2ZZIT3IV3YAJ7IFXD4","json":"https://pith.science/pith/7U365OJN2ZZIT3IV3YAJ7IFXD4.json","graph_json":"https://pith.science/api/pith-number/7U365OJN2ZZIT3IV3YAJ7IFXD4/graph.json","events_json":"https://pith.science/api/pith-number/7U365OJN2ZZIT3IV3YAJ7IFXD4/events.json","paper":"https://pith.science/paper/7U365OJN"},"agent_actions":{"view_html":"https://pith.science/pith/7U365OJN2ZZIT3IV3YAJ7IFXD4","download_json":"https://pith.science/pith/7U365OJN2ZZIT3IV3YAJ7IFXD4.json","view_paper":"https://pith.science/paper/7U365OJN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2112.02305&json=true","fetch_graph":"https://pith.science/api/pith-number/7U365OJN2ZZIT3IV3YAJ7IFXD4/graph.json","fetch_events":"https://pith.science/api/pith-number/7U365OJN2ZZIT3IV3YAJ7IFXD4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7U365OJN2ZZIT3IV3YAJ7IFXD4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7U365OJN2ZZIT3IV3YAJ7IFXD4/action/storage_attestation","attest_author":"https://pith.science/pith/7U365OJN2ZZIT3IV3YAJ7IFXD4/action/author_attestation","sign_citation":"https://pith.science/pith/7U365OJN2ZZIT3IV3YAJ7IFXD4/action/citation_signature","submit_replication":"https://pith.science/pith/7U365OJN2ZZIT3IV3YAJ7IFXD4/action/replication_record"}},"created_at":"2026-07-05T03:37:50.991743+00:00","updated_at":"2026-07-05T03:37:50.991743+00:00"}