{"doi":"10.1109/iccsn.2016.7586648","title":"Regularized interference alignment for heterogeneous networks","abstract":null,"journal":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","year":2016,"id":635906,"datarank":0.16479184330021646,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.0,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":25249,"name":"Su Qu","orcid":"0000-0002-1614-3976","position":1,"is_corresponding":false},{"id":314689,"name":"Hang Zhang","orcid":"0000-0003-0115-387X","position":2,"is_corresponding":false},{"id":1650040,"name":"Jinbo Zhang","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Regularized interference alignment for heterogeneous networks","abstract":"In order to improve the capacity of hierarchical interference alignment (HIA) scheme for heterogeneous networks in the low Signal to Noise Ratio (SNR) regime, a regularized interference alignment (RIA) scheme for heterogeneous networks is proposed in this paper. In the proposed scheme, the equivalent channel matrices in hierarchical interference alignment scheme are used as weighed matrices, and the transmit and receive beam forming matrices are iteratively optimized by weighed Minimum Mean Square Error (W-MMSE) criterion, hence the interferences are eliminated and Signal to Interference plus Noise Ratio (SINR) is optimized. Theoretical analysis and simulation results show that, the proposed scheme can converge by a few iterations, and improve the capacity of heterogeneous networks in the low SNR regime.","is_dataset_classified":null,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19910364","pmcid":null,"openalex_id":"https://openalex.org/W2528414118","authors":[],"funders":[],"total_grants":0,"fwci":0.4036,"citation_percentile":0.51427632,"influential_citations":0,"citation_trend":[{"year":2019,"count":1},{"year":2023,"count":1}],"oa_status":"closed","license":null,"oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx7/7577454/7586551/07586648.pdf?arnumber=7586648","host_type":"publisher"},{"url":"https://doi.org/10.1109/iccsn.2016.7586648","host_type":""}],"fields_of_study":["Advanced MIMO Systems Optimization","Millimeter-Wave Propagation and Modeling","Antenna Design and Analysis"],"mesh_terms":[],"keywords":["Interference (communication)","Interference alignment","Signal-to-interference-plus-noise ratio","Signal-to-noise ratio (imaging)","Computer science","Channel (broadcasting)","Algorithm","Noise (video)","Co-channel interference","Minimum mean square error","Scheme (mathematics)","Adjacent-channel interference","Mean squared error","Topology (electrical circuits)","Mathematics","Telecommunications","Statistics","MIMO","Physics","Artificial intelligence","Power (physics)","Image (mathematics)"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Affordable and clean energy"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-06T15:47:50.002189Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}