{"id":"https://openalex.org/W4413978981","doi":"https://doi.org/10.1109/spawc66079.2025.11143334","title":"Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications","display_name":"Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications","publication_year":2025,"publication_date":"2025-07-07","ids":{"openalex":"https://openalex.org/W4413978981","doi":"https://doi.org/10.1109/spawc66079.2025.11143334"},"language":"en","primary_location":{"id":"doi:10.1109/spawc66079.2025.11143334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc66079.2025.11143334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC)","raw_type":"proceedings-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/A5059257016","display_name":"George N. Katsaros","orcid":"https://orcid.org/0000-0003-0428-9588"},"institutions":[{"id":"https://openalex.org/I4210105785","display_name":"Intelligent Systems Research (United States)","ror":"https://ror.org/01reevc91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210105785"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"George N. Katsaros","raw_affiliation_strings":["5G &#x0026; 6G Innovation Center, Institute for Communication Systems, University of Surrey,Wireless Systems Lab,United Kingdom"],"affiliations":[{"raw_affiliation_string":"5G &#x0026; 6G Innovation Center, Institute for Communication Systems, University of Surrey,Wireless Systems Lab,United Kingdom","institution_ids":["https://openalex.org/I4210105785"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023023109","display_name":"Konstantinos Nikitopoulos","orcid":"https://orcid.org/0000-0003-3056-7748"},"institutions":[{"id":"https://openalex.org/I4210105785","display_name":"Intelligent Systems Research (United States)","ror":"https://ror.org/01reevc91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210105785"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Konstantinos Nikitopoulos","raw_affiliation_strings":["5G &#x0026; 6G Innovation Center, Institute for Communication Systems, University of Surrey,Wireless Systems Lab,United Kingdom"],"affiliations":[{"raw_affiliation_string":"5G &#x0026; 6G Innovation Center, Institute for Communication Systems, University of Surrey,Wireless Systems Lab,United Kingdom","institution_ids":["https://openalex.org/I4210105785"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059257016"],"corresponding_institution_ids":["https://openalex.org/I4210105785"],"apc_list":null,"apc_paid":null,"fwci":0.7467,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77402022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10187","display_name":"Radio Frequency Integrated Circuit Design","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10187","display_name":"Radio Frequency Integrated Circuit Design","score":0.9983999729156494,"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/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9976000189781189,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9235258102416992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6173511147499084},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5393618941307068},{"id":"https://openalex.org/keywords/ultra-low-power","display_name":"Ultra low power","score":0.4195474088191986},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.38681840896606445},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.34618937969207764},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.33752739429473877},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.32115620374679565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2111276090145111},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2028799057006836},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1795750856399536},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.16689515113830566},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09108725190162659}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9235258102416992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6173511147499084},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5393618941307068},{"id":"https://openalex.org/C3017773396","wikidata":"https://www.wikidata.org/wiki/Q6692774","display_name":"Ultra low power","level":4,"score":0.4195474088191986},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.38681840896606445},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.34618937969207764},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.33752739429473877},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.32115620374679565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2111276090145111},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2028799057006836},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1795750856399536},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.16689515113830566},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09108725190162659},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spawc66079.2025.11143334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc66079.2025.11143334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1604973310","https://openalex.org/W2596998695","https://openalex.org/W2783525259","https://openalex.org/W2974485808","https://openalex.org/W3142384962","https://openalex.org/W4206949027","https://openalex.org/W4210357113","https://openalex.org/W4310364782","https://openalex.org/W4380449815","https://openalex.org/W4401698272","https://openalex.org/W4403183086","https://openalex.org/W4403183462","https://openalex.org/W4404239724"],"related_works":["https://openalex.org/W4396891704","https://openalex.org/W2951049725","https://openalex.org/W4285308918","https://openalex.org/W4387459935","https://openalex.org/W3015991694","https://openalex.org/W2908450434","https://openalex.org/W3193008624","https://openalex.org/W4382561696","https://openalex.org/W2581119583","https://openalex.org/W2895519962"],"abstract_inverted_index":{"Neuromorphic":[0],"computing,":[1],"inspired":[2],"by":[3,17,49,85],"biological":[4],"neural":[5,178],"systems,":[6],"has":[7],"emerged":[8],"as":[9],"a":[10,70,80,106,110,150,171],"promising":[11],"approach":[12,131],"for":[13,75],"ultra-energy-efficient":[14],"data":[15],"processing":[16,101],"leveraging":[18],"analog":[19,92],"neuron":[20],"structures":[21],"and":[22,116,124,188],"spike-based":[23],"computation.":[24],"However,":[25],"its":[26],"application":[27],"in":[28,90,158],"communication":[29,42,83],"systems":[30],"remains":[31],"largely":[32],"unexplored,":[33],"with":[34,113,140,149],"existing":[35],"efforts":[36],"mainly":[37],"focused":[38],"on":[39,143],"mapping":[40],"isolated":[41],"algorithms":[43],"onto":[44],"spiking":[45,63,128],"networks,":[46],"often":[47],"accompanied":[48],"substantial,":[50],"traditional":[51],"computational":[52],"overhead":[53],"due":[54],"to":[55,58,61],"transformations":[56],"required":[57],"adapt":[59],"problems":[60],"the":[62,76,91,95,99,144,185],"paradigm.":[64],"In":[65],"this":[66],"work,":[67],"we":[68,104,119,168,183],"take":[69],"fundamentally":[71],"different":[72],"route":[73],"and,":[74],"first":[77],"time,":[78],"propose":[79],"fully":[81],"neuromorphic":[82,87,192],"receiver":[84,100,112],"applying":[86],"principles":[88],"directly":[89],"domain":[93],"from":[94],"very":[96,152],"start":[97],"of":[98,146],"chain.":[102],"Specifically,":[103],"examine":[105],"simple":[107],"transmission":[108],"scenario:":[109],"BPSK":[111],"repetition":[114],"coding,":[115],"show":[117],"that":[118,175],"can":[120],"achieve":[121],"joint":[122],"detection":[123],"decoding":[125],"entirely":[126],"through":[127],"signals.":[129],"Our":[130],"demonstrates":[132],"error-rate":[133],"performance":[134,163],"gains":[135],"over":[136],"conventional":[137],"digital":[138,159],"realizations":[139],"power":[141],"consumption":[142],"order":[145],"microwatts,":[147],"comparable":[148],"single":[151],"low-resolution":[153],"Analog-toDigital":[154],"Converter":[155],"(ADC)":[156],"utilized":[157],"receivers.":[160],"To":[161],"maintain":[162],"under":[164],"varying":[165],"noise":[166],"conditions,":[167],"also":[169],"introduce":[170],"novel":[172],"noise-tracking":[173],"mechanism":[174],"dynamically":[176],"adjusts":[177],"parameters":[179],"during":[180],"transmission.":[181],"Finally,":[182],"discuss":[184],"key":[186],"challenges":[187],"directions":[189],"toward":[190],"ultra-efficient":[191],"transceivers.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
