{"id":"https://openalex.org/W4388938048","doi":"https://doi.org/10.1109/icccnt56998.2023.10307821","title":"Comparison and Performance Analysis of Massive Mimo Based 5g Communication Network Through Potential Parameters","display_name":"Comparison and Performance Analysis of Massive Mimo Based 5g Communication Network Through Potential Parameters","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388938048","doi":"https://doi.org/10.1109/icccnt56998.2023.10307821"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10307821","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10307821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5049048496","display_name":"Sandhya Bolla","orcid":"https://orcid.org/0000-0001-9178-9681"},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sandhya Bolla","raw_affiliation_strings":["Lovely Professional University,Department of SEEE,Punjab"],"affiliations":[{"raw_affiliation_string":"Lovely Professional University,Department of SEEE,Punjab","institution_ids":["https://openalex.org/I110360157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038962235","display_name":"Manwinder Singh","orcid":"https://orcid.org/0000-0002-0543-2625"},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manwinder Singh","raw_affiliation_strings":["Lovely Professional University,Department of SEEE,Punjab"],"affiliations":[{"raw_affiliation_string":"Lovely Professional University,Department of SEEE,Punjab","institution_ids":["https://openalex.org/I110360157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049048496"],"corresponding_institution_ids":["https://openalex.org/I110360157"],"apc_list":null,"apc_paid":null,"fwci":0.4011,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61479578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9991999864578247,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9991999864578247,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9907000064849854,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.989799976348877,"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/computer-science","display_name":"Computer science","score":0.7764135599136353},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.7200990319252014},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6483935117721558},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5336371660232544},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5105398893356323},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5078743100166321},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4681936204433441},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4560428261756897},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4247099757194519},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.39546290040016174},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3884977102279663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37362003326416016},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3648102879524231},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3598622679710388},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3538408577442169},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3324574828147888},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20135122537612915},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13308486342430115},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11103901267051697}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764135599136353},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7200990319252014},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6483935117721558},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5336371660232544},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5105398893356323},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5078743100166321},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4681936204433441},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4560428261756897},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4247099757194519},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.39546290040016174},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3884977102279663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37362003326416016},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3648102879524231},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3598622679710388},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3538408577442169},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3324574828147888},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20135122537612915},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13308486342430115},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11103901267051697},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10307821","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10307821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2862158594","https://openalex.org/W2910963406","https://openalex.org/W2927656091","https://openalex.org/W2945003575","https://openalex.org/W2947073418","https://openalex.org/W2950666324","https://openalex.org/W2957382329","https://openalex.org/W2957915633","https://openalex.org/W2962073121","https://openalex.org/W2963302706","https://openalex.org/W2972260047","https://openalex.org/W2980356457","https://openalex.org/W2984006260","https://openalex.org/W3040710037","https://openalex.org/W3048912828","https://openalex.org/W3116444033","https://openalex.org/W3122323525","https://openalex.org/W3137320350","https://openalex.org/W3153590903","https://openalex.org/W3160391311","https://openalex.org/W3164209084","https://openalex.org/W3168793198","https://openalex.org/W3173681330","https://openalex.org/W3176114306","https://openalex.org/W3184140944","https://openalex.org/W3184967607","https://openalex.org/W3198150596","https://openalex.org/W3204862562","https://openalex.org/W3207474907","https://openalex.org/W3211131585","https://openalex.org/W3213462484","https://openalex.org/W3213968040","https://openalex.org/W4200169330","https://openalex.org/W4213056378","https://openalex.org/W4223890675","https://openalex.org/W4283386906","https://openalex.org/W4284993382","https://openalex.org/W4285503605","https://openalex.org/W4285612816","https://openalex.org/W4289994411","https://openalex.org/W4297675361","https://openalex.org/W4297922465","https://openalex.org/W4309458972","https://openalex.org/W4316660971","https://openalex.org/W4317242888","https://openalex.org/W4327615176","https://openalex.org/W6765621476"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W2964335273","https://openalex.org/W2982145560","https://openalex.org/W1889624880"],"abstract_inverted_index":{"To":[0],"provide":[1],"high-speed,":[2],"low-latency,":[3],"and":[4,62,87,166,199,227,240,248],"dependable":[5],"wireless":[6],"access,":[7],"5G":[8,29,82],"communication":[9],"networks":[10,30,67,222],"have":[11,148],"completely":[12],"changed":[13],"the":[14,24,37,76,91,98,106,116,124,133,142,145,172,177,187,204,218,233,254],"telecoms":[15],"sector.":[16],"Massive":[17,79],"Multiple-Input":[18],"Multiple-Output":[19],"(MIMO)":[20],"stands":[21],"out":[22],"among":[23],"primary":[25],"technologies":[26],"adopted":[27],"in":[28,81,141,176,203],"as":[31,154],"a":[32,46],"promising":[33],"approach":[34,51],"to":[35,73,109,153,185,194,209,223],"addressing":[36],"applications'":[38],"exploding":[39],"demand":[40],"for":[41,68],"data.":[42,205],"This":[43],"research":[44],"offers":[45],"hybrid":[47,179,235,255],"deep":[48],"learning":[49],"(DL)":[50],"that":[52,96,137,253],"combines":[53],"Convolutional":[54],"Neural":[55,59],"Networks":[56,60],"(CNN),":[57],"Recurrent":[58],"(RNN),":[61],"Long":[63],"Short-Term":[64],"Memory":[65],"(LSTM)":[66],"analyzing":[69],"various":[70],"functioning":[71,77],"parameters":[72],"further":[74,215],"improve":[75],"of":[78,100,119,220,232],"MIMO":[80,159],"networks.":[83],"Throughput,":[84],"energy":[85,89,120,136],"efficiency,":[86],"residual":[88,155],"are":[90,97,169,183],"three":[92],"key":[93],"performance":[94],"indicators":[95],"focus":[99],"this":[101],"study.":[102],"Energy":[103],"efficiency":[104],"assesses":[105],"network's":[107,188],"capacity":[108,208],"support":[110],"high":[111],"data":[112,128],"rates":[113],"while":[114],"using":[115,174],"least":[117],"amount":[118],"possible.":[121],"Throughput":[122],"quantifies":[123],"pace":[125],"at":[126],"which":[127],"may":[129],"be":[130],"transmitted":[131],"over":[132],"network.":[134],"The":[135,157,206,230,250],"is":[138,151,214,238],"still":[139],"present":[140],"system":[143,173],"after":[144],"intended":[146],"tasks":[147],"been":[149],"completed":[150],"referred":[152],"energy.":[156],"huge":[158],"system's":[160],"spatial":[161,164],"attributes,":[162],"including":[163],"correlations":[165],"channel":[167,197],"parameters,":[168],"extracted":[170],"from":[171],"CNNs":[175],"proposed":[178,234],"DL":[180,236,256],"model.":[181],"RNNs":[182],"used":[184],"simulate":[186],"temporal":[189,201],"dynamics,":[190],"making":[191],"it":[192],"possible":[193],"forecast":[195],"time-varying":[196],"conditions":[198],"identify":[200],"dependencies":[202,226],"model's":[207],"analyze":[210],"complicated":[211],"network":[212],"behavior":[213],"improved":[216],"by":[217],"use":[219],"LSTM":[221],"manage":[224],"long-term":[225],"memory":[228],"retention.":[229],"presentation":[231],"prototype":[237],"assessed":[239],"contrasted":[241],"with":[242],"conventional":[243],"techniques":[244],"through":[245],"thorough":[246],"simulations":[247],"tests.":[249],"outcomes":[251],"show":[252],"strategy":[257],"performs":[258],"better":[259],"than":[260],"other":[261],"approaches.":[262]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}