{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:XLDLJSKTGMUYHD2XT2ZBWBIKJM","short_pith_number":"pith:XLDLJSKT","schema_version":"1.0","canonical_sha256":"bac6b4c9533329838f579eb21b050a4b1c54433973399dbfb865e61f9b8f13c7","source":{"kind":"arxiv","id":"1510.06572","version":1},"attestation_state":"computed","paper":{"title":"Radio Resource Allocation in LTE-Advanced Cellular Networks with M2M Communications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NI","math.IT"],"primary_cat":"cs.IT","authors_text":"Fanglong Hu, Kan Zheng, Mischa Dohler, Wei Xiang, Wenbo Wang","submitted_at":"2015-10-22T10:38:53Z","abstract_excerpt":"Machine-to-machine (M2M) communications are expected to provide ubiquitous connectivity between machines without the need of human intervention. To support such a large number of autonomous devices, the M2M system architecture needs to be extremely power and spectrally efficient. This article thus briefly reviews the features of M2M services in the third generation (3G) long-term evolution and its advancement (LTE-Advanced) networks. Architectural enhancements are then presented for supporting M2M services in LTE-Advanced cellular networks. To increase spectral efficiency, the same spectrum is"},"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":"1510.06572","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2015-10-22T10:38:53Z","cross_cats_sorted":["cs.NI","math.IT"],"title_canon_sha256":"b64e505c86c72d5772417ad6ce4182430bc7fb236f48c569f33417a4d02c2bda","abstract_canon_sha256":"55edcaabfb9e2134b8a081c31de535810ddfc052c0074c6d84511ea37fa59d30"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:29:30.604382Z","signature_b64":"Da4XYLF91Q/2T40A8/2y8uvNbP0H80+Rd+3aurIFujM6ukqrXZ+PBIaOihRRRgDgGw9JRgGPWUn5n5Xzbw68Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bac6b4c9533329838f579eb21b050a4b1c54433973399dbfb865e61f9b8f13c7","last_reissued_at":"2026-05-18T01:29:30.603808Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:29:30.603808Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Radio Resource Allocation in LTE-Advanced Cellular Networks with M2M Communications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NI","math.IT"],"primary_cat":"cs.IT","authors_text":"Fanglong Hu, Kan Zheng, Mischa Dohler, Wei Xiang, Wenbo Wang","submitted_at":"2015-10-22T10:38:53Z","abstract_excerpt":"Machine-to-machine (M2M) communications are expected to provide ubiquitous connectivity between machines without the need of human intervention. To support such a large number of autonomous devices, the M2M system architecture needs to be extremely power and spectrally efficient. This article thus briefly reviews the features of M2M services in the third generation (3G) long-term evolution and its advancement (LTE-Advanced) networks. Architectural enhancements are then presented for supporting M2M services in LTE-Advanced cellular networks. To increase spectral efficiency, the same spectrum is"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.06572","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":"1510.06572","created_at":"2026-05-18T01:29:30.603878+00:00"},{"alias_kind":"arxiv_version","alias_value":"1510.06572v1","created_at":"2026-05-18T01:29:30.603878+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.06572","created_at":"2026-05-18T01:29:30.603878+00:00"},{"alias_kind":"pith_short_12","alias_value":"XLDLJSKTGMUY","created_at":"2026-05-18T12:29:50.041715+00:00"},{"alias_kind":"pith_short_16","alias_value":"XLDLJSKTGMUYHD2X","created_at":"2026-05-18T12:29:50.041715+00:00"},{"alias_kind":"pith_short_8","alias_value":"XLDLJSKT","created_at":"2026-05-18T12:29:50.041715+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/XLDLJSKTGMUYHD2XT2ZBWBIKJM","json":"https://pith.science/pith/XLDLJSKTGMUYHD2XT2ZBWBIKJM.json","graph_json":"https://pith.science/api/pith-number/XLDLJSKTGMUYHD2XT2ZBWBIKJM/graph.json","events_json":"https://pith.science/api/pith-number/XLDLJSKTGMUYHD2XT2ZBWBIKJM/events.json","paper":"https://pith.science/paper/XLDLJSKT"},"agent_actions":{"view_html":"https://pith.science/pith/XLDLJSKTGMUYHD2XT2ZBWBIKJM","download_json":"https://pith.science/pith/XLDLJSKTGMUYHD2XT2ZBWBIKJM.json","view_paper":"https://pith.science/paper/XLDLJSKT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1510.06572&json=true","fetch_graph":"https://pith.science/api/pith-number/XLDLJSKTGMUYHD2XT2ZBWBIKJM/graph.json","fetch_events":"https://pith.science/api/pith-number/XLDLJSKTGMUYHD2XT2ZBWBIKJM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XLDLJSKTGMUYHD2XT2ZBWBIKJM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XLDLJSKTGMUYHD2XT2ZBWBIKJM/action/storage_attestation","attest_author":"https://pith.science/pith/XLDLJSKTGMUYHD2XT2ZBWBIKJM/action/author_attestation","sign_citation":"https://pith.science/pith/XLDLJSKTGMUYHD2XT2ZBWBIKJM/action/citation_signature","submit_replication":"https://pith.science/pith/XLDLJSKTGMUYHD2XT2ZBWBIKJM/action/replication_record"}},"created_at":"2026-05-18T01:29:30.603878+00:00","updated_at":"2026-05-18T01:29:30.603878+00:00"}