{"id":"https://openalex.org/W7123345464","doi":"https://doi.org/10.1109/twc.2025.3650300","title":"NeuromorphicRx: From Neural to Spiking Receiver","display_name":"NeuromorphicRx: From Neural to Spiking Receiver","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7123345464","doi":"https://doi.org/10.1109/twc.2025.3650300"},"language":null,"primary_location":{"id":"doi:10.1109/twc.2025.3650300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2025.3650300","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016948723","display_name":"Ankit Gupta","orcid":"https://orcid.org/0000-0002-8742-1400"},"institutions":[{"id":"https://openalex.org/I2800524328","display_name":"Viavi Solutions (United States)","ror":"https://ror.org/059a9e323","country_code":"US","type":"company","lineage":["https://openalex.org/I2800524328"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankit Gupta","raw_affiliation_strings":["VIAVI Marconi Laboratories, VIAVI Solutions Inc., Stevenage, U.K"],"raw_orcid":"https://orcid.org/0000-0002-8742-1400","affiliations":[{"raw_affiliation_string":"VIAVI Marconi Laboratories, VIAVI Solutions Inc., Stevenage, U.K","institution_ids":["https://openalex.org/I2800524328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047948735","display_name":"Onur Dizdar","orcid":"https://orcid.org/0000-0001-5849-6887"},"institutions":[{"id":"https://openalex.org/I2800524328","display_name":"Viavi Solutions (United States)","ror":"https://ror.org/059a9e323","country_code":"US","type":"company","lineage":["https://openalex.org/I2800524328"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Onur Dizdar","raw_affiliation_strings":["VIAVI Marconi Laboratories, VIAVI Solutions Inc., Stevenage, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5849-6887","affiliations":[{"raw_affiliation_string":"VIAVI Marconi Laboratories, VIAVI Solutions Inc., Stevenage, U.K","institution_ids":["https://openalex.org/I2800524328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122843662","display_name":"Yun Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I2800524328","display_name":"Viavi Solutions (United States)","ror":"https://ror.org/059a9e323","country_code":"US","type":"company","lineage":["https://openalex.org/I2800524328"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun Chen","raw_affiliation_strings":["VIAVI Marconi Laboratories, VIAVI Solutions Inc., Stevenage, U.K"],"raw_orcid":"https://orcid.org/0000-0003-3982-3058","affiliations":[{"raw_affiliation_string":"VIAVI Marconi Laboratories, VIAVI Solutions Inc., Stevenage, U.K","institution_ids":["https://openalex.org/I2800524328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053982230","display_name":"Fehmi Emre Kadan","orcid":"https://orcid.org/0000-0002-4870-8628"},"institutions":[{"id":"https://openalex.org/I2800524328","display_name":"Viavi Solutions (United States)","ror":"https://ror.org/059a9e323","country_code":"US","type":"company","lineage":["https://openalex.org/I2800524328"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fehmi Emre Kadan","raw_affiliation_strings":["VIAVI Marconi Laboratories, VIAVI Solutions Inc., Stevenage, U.K"],"raw_orcid":"https://orcid.org/0000-0002-4870-8628","affiliations":[{"raw_affiliation_string":"VIAVI Marconi Laboratories, VIAVI Solutions Inc., Stevenage, U.K","institution_ids":["https://openalex.org/I2800524328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060463478","display_name":"Ata Sattarzadeh","orcid":"https://orcid.org/0000-0002-3167-2796"},"institutions":[{"id":"https://openalex.org/I2800524328","display_name":"Viavi Solutions (United States)","ror":"https://ror.org/059a9e323","country_code":"US","type":"company","lineage":["https://openalex.org/I2800524328"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ata Sattarzadeh","raw_affiliation_strings":["VIAVI Marconi Laboratories, VIAVI Solutions Inc., Stevenage, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3167-2796","affiliations":[{"raw_affiliation_string":"VIAVI Marconi Laboratories, VIAVI Solutions Inc., Stevenage, U.K","institution_ids":["https://openalex.org/I2800524328"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101751091","display_name":"Stephen Wang","orcid":"https://orcid.org/0000-0002-1906-9206"},"institutions":[{"id":"https://openalex.org/I2800524328","display_name":"Viavi Solutions (United States)","ror":"https://ror.org/059a9e323","country_code":"US","type":"company","lineage":["https://openalex.org/I2800524328"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Wang","raw_affiliation_strings":["VIAVI Marconi Laboratories, VIAVI Solutions Inc., Stevenage, U.K"],"raw_orcid":"https://orcid.org/0000-0002-1906-9206","affiliations":[{"raw_affiliation_string":"VIAVI Marconi Laboratories, VIAVI Solutions Inc., Stevenage, U.K","institution_ids":["https://openalex.org/I2800524328"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05562302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":null,"first_page":"10161","last_page":"10174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.6809999942779541,"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":0.6809999942779541,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.19429999589920044,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":0.015399999916553497,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5450000166893005},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.5371999740600586},{"id":"https://openalex.org/keywords/block-error-rate","display_name":"Block Error Rate","score":0.4580000042915344},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.45739999413490295},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4447000026702881},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.412200003862381},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.3837999999523163},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.3806999921798706},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.34450000524520874},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.3416999876499176}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8192999958992004},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5450000166893005},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.5371999740600586},{"id":"https://openalex.org/C2776639698","wikidata":"https://www.wikidata.org/wiki/Q4927140","display_name":"Block Error Rate","level":3,"score":0.4580000042915344},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.45739999413490295},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4447000026702881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43619999289512634},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.412200003862381},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3837999999523163},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.3806999921798706},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37549999356269836},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.34450000524520874},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.3416999876499176},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3257000148296356},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.30320000648498535},{"id":"https://openalex.org/C70451592","wikidata":"https://www.wikidata.org/wiki/Q376493","display_name":"Dither","level":3,"score":0.3000999987125397},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.28610000014305115},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.28459998965263367},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.2842000126838684},{"id":"https://openalex.org/C202932441","wikidata":"https://www.wikidata.org/wiki/Q55611017","display_name":"Forward error correction","level":3,"score":0.2761000096797943},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.26159998774528503},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.25699999928474426},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2025.3650300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2025.3650300","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9095499515533447}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1999085092","https://openalex.org/W2080333131","https://openalex.org/W2584943905","https://openalex.org/W2736068844","https://openalex.org/W2982632705","https://openalex.org/W2998689804","https://openalex.org/W3036589489","https://openalex.org/W3116789476","https://openalex.org/W3118913981","https://openalex.org/W3119431736","https://openalex.org/W3124478039","https://openalex.org/W3128783847","https://openalex.org/W3166861417","https://openalex.org/W3168225772","https://openalex.org/W3194939904","https://openalex.org/W3201870057","https://openalex.org/W3211954089","https://openalex.org/W4221038823","https://openalex.org/W4226253814","https://openalex.org/W4280624575","https://openalex.org/W4282049157","https://openalex.org/W4312223064","https://openalex.org/W4312626846","https://openalex.org/W4312909742","https://openalex.org/W4315926986","https://openalex.org/W4316013358","https://openalex.org/W4319459033","https://openalex.org/W4321021444","https://openalex.org/W4382466669","https://openalex.org/W4385819926","https://openalex.org/W4387609330","https://openalex.org/W4388819776","https://openalex.org/W4388937137","https://openalex.org/W4389371040","https://openalex.org/W4389890622","https://openalex.org/W4390691085","https://openalex.org/W4392158162","https://openalex.org/W4392902047","https://openalex.org/W4393380093","https://openalex.org/W4395017570","https://openalex.org/W4400276158","https://openalex.org/W4401692025","https://openalex.org/W4402586309","https://openalex.org/W4403538029","https://openalex.org/W4406657834","https://openalex.org/W4410228679"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"propose":[4,42],"a":[5,43],"novel":[6],"energy-efficient":[7],"spiking":[8,39],"neural":[9,57],"network":[10,58],"(SNN)-based":[11],"receiver":[12,19],"for":[13,71,92,100],"5G-NR":[14,93,101,122],"OFDM":[15],"system,":[16],"called":[17],"neuromorphic":[18],"(NeuromorphicRx),":[20],"replacing":[21],"the":[22,36],"channel":[23],"estimation,":[24],"equalization":[25],"and":[26,41,66,80,95,124],"symbol":[27],"demapping":[28],"blocks.":[29],"We":[30,51,73,86],"leverage":[31],"domain":[32],"knowledge":[33],"to":[34,62,121,128],"design":[35],"input":[37],"with":[38,47,55,132],"encoding":[40],"deep":[44],"convolutional":[45],"SNN":[46,54],"spike-element-wise":[48],"residual":[49],"connections.":[50],"integrate":[52],"an":[53],"artificial":[56],"(ANN)":[59],"hybrid":[60],"architecture":[61],"obtain":[63],"soft":[64],"outputs":[65],"employ":[67],"surrogate":[68],"gradient":[69],"descent":[70],"training.":[72,85],"focus":[74,87],"on":[75,88],"generalization":[76],"across":[77],"diverse":[78],"scenarios":[79],"robustness":[81],"through":[82],"quantized":[83],"aware":[84],"interpretability":[89],"of":[90,112],"NeuromorphicRx":[91,109],"signals":[94],"perform":[96],"detailed":[97],"ablation":[98],"study":[99],"signals.":[102],"Our":[103],"extensive":[104],"numerical":[105],"simulations":[106],"show":[107],"that":[108],"is":[110],"capable":[111],"achieving":[113],"significant":[114],"block":[115],"error":[116],"rate":[117],"performance":[118,126],"gain":[119],"compared":[120,127],"receivers":[123],"similar":[125],"its":[129],"ANN-based":[130],"counterparts":[131],"7.6\u00d7":[133],"less":[134],"energy":[135],"consumption.":[136]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-14T00:00:00"}
