Publication Information

{'id': 'https://openalex.org/W1984367732', 'doi': 'https://doi.org/10.1109/icc.2012.6364436', 'title': 'Identification of legacy radios in a cognitive radio network using a radio frequency fingerprinting based method', 'display_name': 'Identification of legacy radios in a cognitive radio network using a radio frequency fingerprinting based method', 'publication_year': 2012, 'publication_date': '2012-06-01', 'ids': {'openalex': 'https://openalex.org/W1984367732', 'doi': 'https://doi.org/10.1109/icc.2012.6364436', 'mag': '1984367732'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/icc.2012.6364436', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5088959986', 'display_name': 'Nansai Hu', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I108468826', 'display_name': 'Stevens Institute of Technology', 'ror': 'https://ror.org/02z43xh36', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I108468826']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Nansai Hu', 'raw_affiliation_strings': ['Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030.'], 'affiliations': [{'raw_affiliation_string': 'Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030.', 'institution_ids': ['https://openalex.org/I108468826']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5021827481', 'display_name': 'Yudong Yao', 'orcid': 'https://orcid.org/0000-0003-3868-0593'}, 'institutions': [{'id': 'https://openalex.org/I108468826', 'display_name': 'Stevens Institute of Technology', 'ror': 'https://ror.org/02z43xh36', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I108468826']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Yu-Dong Yao', 'raw_affiliation_strings': ['Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030.'], 'affiliations': [{'raw_affiliation_string': 'Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030.', 'institution_ids': ['https://openalex.org/I108468826']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 1.702, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 23, 'citation_normalized_percentile': {'value': 0.866046, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 90, 'max': 91}, 'biblio': {'volume': None, 'issue': None, 'first_page': '1597', 'last_page': '1602'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T12131', 'display_name': 'Wireless Signal Modulation Classification', 'score': 0.9996, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T12131', 'display_name': 'Wireless Signal Modulation Classification', 'score': 0.9996, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10201', 'display_name': 'Speech Recognition and Synthesis', 'score': 0.9816, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10860', 'display_name': 'Speech and Audio Processing', 'score': 0.9777, 'subfield': {'id': 'https://openalex.org/subfields/1711', 'display_name': 'Signal Processing'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/radio-frequency-engineering', 'display_name': 'Radio-frequency engineering', 'score': 0.53370243}, {'id': 'https://openalex.org/keywords/radio-spectrum', 'display_name': 'Radio spectrum', 'score': 0.50629103}], 'concepts': [{'id': 'https://openalex.org/C192220659', 'wikidata': 'https://www.wikidata.org/wiki/Q1245659', 'display_name': 'Universal Software Radio Peripheral', 'level': 3, 'score': 0.9680941}, {'id': 'https://openalex.org/C149946192', 'wikidata': 'https://www.wikidata.org/wiki/Q3235733', 'display_name': 'Cognitive radio', 'level': 3, 'score': 0.92553794}, {'id': 'https://openalex.org/C171115542', 'wikidata': 'https://www.wikidata.org/wiki/Q1331892', 'display_name': 'Software-defined radio', 'level': 2, 'score': 0.8618821}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.7525074}, {'id': 'https://openalex.org/C101541887', 'wikidata': 'https://www.wikidata.org/wiki/Q1555675', 'display_name': 'Remote radio head', 'level': 4, 'score': 0.6768517}, {'id': 'https://openalex.org/C31304418', 'wikidata': 'https://www.wikidata.org/wiki/Q283455', 'display_name': 'UMTS Terrestrial Radio Access Network', 'level': 5, 'score': 0.66712546}, {'id': 'https://openalex.org/C182448111', 'wikidata': 'https://www.wikidata.org/wiki/Q7281197', 'display_name': 'Radio resource management', 'level': 4, 'score': 0.6123556}, {'id': 'https://openalex.org/C74064498', 'wikidata': 'https://www.wikidata.org/wiki/Q3396184', 'display_name': 'Radio frequency', 'level': 2, 'score': 0.55299425}, {'id': 'https://openalex.org/C205523678', 'wikidata': 'https://www.wikidata.org/wiki/Q1363977', 'display_name': 'Radio-frequency engineering', 'level': 5, 'score': 0.53370243}, {'id': 'https://openalex.org/C92545706', 'wikidata': 'https://www.wikidata.org/wiki/Q902174', 'display_name': 'Radio spectrum', 'level': 2, 'score': 0.50629103}, {'id': 'https://openalex.org/C31258907', 'wikidata': 'https://www.wikidata.org/wiki/Q1301371', 'display_name': 'Computer network', 'level': 1, 'score': 0.49905705}, {'id': 'https://openalex.org/C106365562', 'wikidata': 'https://www.wikidata.org/wiki/Q3078360', 'display_name': 'Radio access network', 'level': 4, 'score': 0.4033773}, {'id': 'https://openalex.org/C76155785', 'wikidata': 'https://www.wikidata.org/wiki/Q418', 'display_name': 'Telecommunications', 'level': 1, 'score': 0.34063983}, {'id': 'https://openalex.org/C555944384', 'wikidata': 'https://www.wikidata.org/wiki/Q249', 'display_name': 'Wireless', 'level': 2, 'score': 0.2843256}, {'id': 'https://openalex.org/C108037233', 'wikidata': 'https://www.wikidata.org/wiki/Q11375', 'display_name': 'Wireless network', 'level': 3, 'score': 0.21109554}, {'id': 'https://openalex.org/C68649174', 'wikidata': 'https://www.wikidata.org/wiki/Q1379116', 'display_name': 'Base station', 'level': 2, 'score': 0.17973417}, {'id': 'https://openalex.org/C207029474', 'wikidata': 'https://www.wikidata.org/wiki/Q384018', 'display_name': 'Mobile station', 'level': 3, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/icc.2012.6364436', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'display_name': 'Industry, innovation and infrastructure', 'id': 'https://metadata.un.org/sdg/9', 'score': 0.41}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 16, 'referenced_works': ['https://openalex.org/W120660591', 'https://openalex.org/W1480870385', 'https://openalex.org/W1510900102', 'https://openalex.org/W2000053617', 'https://openalex.org/W2036038135', 'https://openalex.org/W2103904802', 'https://openalex.org/W2109943925', 'https://openalex.org/W2120636900', 'https://openalex.org/W2124258049', 'https://openalex.org/W2131935247', 'https://openalex.org/W2134111130', 'https://openalex.org/W2139212933', 'https://openalex.org/W2144765142', 'https://openalex.org/W2155886813', 'https://openalex.org/W2168078104', 'https://openalex.org/W2539110316'], 'related_works': ['https://openalex.org/W4320068136', 'https://openalex.org/W3119699729', 'https://openalex.org/W30850072', 'https://openalex.org/W3023511156', 'https://openalex.org/W2548918030', 'https://openalex.org/W2491296407', 'https://openalex.org/W2420044879', 'https://openalex.org/W2124013628', 'https://openalex.org/W2009111888', 'https://openalex.org/W1984367732'], 'abstract_inverted_index': {'Cognitive': [0], 'radio': [1, 63, 90, 110, 114, 129, 132], '(CR)': [2], 'networks': [3], 'provide': [4], 'an': [5], 'open': [6], 'architecture': [7], 'for': [8, 88], 'effectively': [9], 'utilizing': [10], 'communication': [11], 'resources': [12], 'through': [13], 'flexible': [14], 'opportunistic': [15], 'spectrum': [16], 'access': [17], 'methods.': [18], 'To': [19], 'successfully': [20], 'realize': [21], 'its': [22], 'benefits': [23], 'and': [24, 40, 50, 78, 107, 131], 'minimize': [25], 'the': [26, 83, 121], 'misuses': [27], 'of': [28], 'a': [29, 48, 62], 'CR': [30, 54], 'network,': [31], 'distinguishing': [32, 89, 108], 'radio/user': [33, 42, 76], 'classes': [34, 77], '(legacy': [35], 'radios/users': [36], 'versus': [37, 98], 'secondary': [38, 105], 'radios/users)': [39], 'individual': [41, 109], 'terminals': [43, 111], '(within': [44], 'one': [45, 113], 'class/type)': [46], 'is': [47, 86, 124], 'critical': [49], 'challenging': [51], 'task': [52], 'in': [53, 127], 'network': [55], 'operation.': [56], 'In': [57, 80], 'this': [58], 'paper,': [59], 'we': [60], 'propose': [61], 'frequency': [64], 'fingerprinting': [65], '(RFF)': [66], 'based': [67], 'approach': [68], 'combined': [69], 'with': [70], 'machine': [71], 'learning': [72], 'algorithms': [73], 'to': [74], 'differentiate': [75], 'terminals.': [79, 133], 'our': [81], 'experiments,': [82], 'proposed': [84, 122], 'method': [85, 123], 'implemented': [87], 'class': [91], '(MOTOROLA': [92], 'walkie': [93], 'talkies': [94], '(as': [95, 104], 'legacy': [96], 'radios)': [97], 'Universal': [99], 'Software': [100], 'Radio': [101], 'Peripheral': [102], '(USRP)': [103], 'radios))': [106], 'within': [112], 'class.': [115], 'The': [116], 'experimental': [117], 'results': [118], 'demonstrate': [119], 'that': [120], 'very': [125], 'effective': [126], 'differentiating': [128], 'types': [130]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W1984367732', 'counts_by_year': [{'year': 2023, 'cited_by_count': 1}, {'year': 2022, 'cited_by_count': 1}, {'year': 2021, 'cited_by_count': 2}, {'year': 2020, 'cited_by_count': 5}, {'year': 2019, 'cited_by_count': 2}, {'year': 2017, 'cited_by_count': 1}, {'year': 2016, 'cited_by_count': 2}, {'year': 2014, 'cited_by_count': 5}, {'year': 2013, 'cited_by_count': 3}, {'year': 2012, 'cited_by_count': 1}], 'updated_date': '2024-12-10T11:22:15.593829', 'created_date': '2016-06-24'}