{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:DT7RANF4GEQ52JY426OOLE6NBU","short_pith_number":"pith:DT7RANF4","schema_version":"1.0","canonical_sha256":"1cff1034bc3121dd271cd79ce593cd0d1d6de95361c07c0dcb176ac195802fb4","source":{"kind":"arxiv","id":"1705.06907","version":1},"attestation_state":"computed","paper":{"title":"Ultra-Reliable and Low Latency Communication in mmWave-Enabled Massive MIMO Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Chen-Feng Liu, Choong Seon Hong, Matti Latva-aho, Mehdi Bennis, M\\'erouane Debbah, Trung Kien Vu","submitted_at":"2017-05-19T09:43:01Z","abstract_excerpt":"Ultra-reliability and low-latency are two key components in 5G networks. In this letter, we investigate the problem of ultra-reliable and low-latency communication (URLLC) in millimeter wave (mmWave)-enabled massive multiple-input multiple-output (MIMO) networks. The problem is cast as a network utility maximization subject to probabilistic latency and reliability constraints. To solve this problem, we resort to the Lyapunov technique whereby a utility-delay control approach is proposed, which adapts to channel variations and queue dynamics. Numerical results demonstrate that our proposed appr"},"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":"1705.06907","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-05-19T09:43:01Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"aaad5151a02d7be4acc186aa18828197e17a4bdf0018e66c85392b1462456197","abstract_canon_sha256":"77c61de57560fac9d6b3ae0429962a5eed79c430429a7907d1bdb9dfed6f8c2e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:44:10.974675Z","signature_b64":"Tq5HlBtPHOGhgQtt8EljrLqdvUcN9J3ZwzbM+grweHbqkZ9E3uqI4hQ65SBqYaBfj0iPFDrIHZZk12c4oj3KCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1cff1034bc3121dd271cd79ce593cd0d1d6de95361c07c0dcb176ac195802fb4","last_reissued_at":"2026-05-18T00:44:10.974168Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:44:10.974168Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Ultra-Reliable and Low Latency Communication in mmWave-Enabled Massive MIMO Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Chen-Feng Liu, Choong Seon Hong, Matti Latva-aho, Mehdi Bennis, M\\'erouane Debbah, Trung Kien Vu","submitted_at":"2017-05-19T09:43:01Z","abstract_excerpt":"Ultra-reliability and low-latency are two key components in 5G networks. In this letter, we investigate the problem of ultra-reliable and low-latency communication (URLLC) in millimeter wave (mmWave)-enabled massive multiple-input multiple-output (MIMO) networks. The problem is cast as a network utility maximization subject to probabilistic latency and reliability constraints. To solve this problem, we resort to the Lyapunov technique whereby a utility-delay control approach is proposed, which adapts to channel variations and queue dynamics. Numerical results demonstrate that our proposed appr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.06907","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":"1705.06907","created_at":"2026-05-18T00:44:10.974249+00:00"},{"alias_kind":"arxiv_version","alias_value":"1705.06907v1","created_at":"2026-05-18T00:44:10.974249+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.06907","created_at":"2026-05-18T00:44:10.974249+00:00"},{"alias_kind":"pith_short_12","alias_value":"DT7RANF4GEQ5","created_at":"2026-05-18T12:31:12.930513+00:00"},{"alias_kind":"pith_short_16","alias_value":"DT7RANF4GEQ52JY4","created_at":"2026-05-18T12:31:12.930513+00:00"},{"alias_kind":"pith_short_8","alias_value":"DT7RANF4","created_at":"2026-05-18T12:31:12.930513+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/DT7RANF4GEQ52JY426OOLE6NBU","json":"https://pith.science/pith/DT7RANF4GEQ52JY426OOLE6NBU.json","graph_json":"https://pith.science/api/pith-number/DT7RANF4GEQ52JY426OOLE6NBU/graph.json","events_json":"https://pith.science/api/pith-number/DT7RANF4GEQ52JY426OOLE6NBU/events.json","paper":"https://pith.science/paper/DT7RANF4"},"agent_actions":{"view_html":"https://pith.science/pith/DT7RANF4GEQ52JY426OOLE6NBU","download_json":"https://pith.science/pith/DT7RANF4GEQ52JY426OOLE6NBU.json","view_paper":"https://pith.science/paper/DT7RANF4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1705.06907&json=true","fetch_graph":"https://pith.science/api/pith-number/DT7RANF4GEQ52JY426OOLE6NBU/graph.json","fetch_events":"https://pith.science/api/pith-number/DT7RANF4GEQ52JY426OOLE6NBU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DT7RANF4GEQ52JY426OOLE6NBU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DT7RANF4GEQ52JY426OOLE6NBU/action/storage_attestation","attest_author":"https://pith.science/pith/DT7RANF4GEQ52JY426OOLE6NBU/action/author_attestation","sign_citation":"https://pith.science/pith/DT7RANF4GEQ52JY426OOLE6NBU/action/citation_signature","submit_replication":"https://pith.science/pith/DT7RANF4GEQ52JY426OOLE6NBU/action/replication_record"}},"created_at":"2026-05-18T00:44:10.974249+00:00","updated_at":"2026-05-18T00:44:10.974249+00:00"}