{"id":"https://openalex.org/W1509765136","doi":"https://doi.org/10.1109/icc.2015.7248726","title":"Probabilistic based TX-beamformer design under partial CSIT using optimized SINR estimate","display_name":"Probabilistic based TX-beamformer design under partial CSIT using optimized SINR estimate","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1509765136","doi":"https://doi.org/10.1109/icc.2015.7248726","mag":"1509765136"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2015.7248726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2015.7248726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Communications (ICC)","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/A5001160714","display_name":"Yohannes Jote Tolossa","orcid":"https://orcid.org/0000-0002-0801-1420"},"institutions":[{"id":"https://openalex.org/I193619901","display_name":"Constructor University","ror":"https://ror.org/02yrs2n53","country_code":"DE","type":"education","lineage":["https://openalex.org/I193619901"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Yohannes Jote Tolossa","raw_affiliation_strings":["School of Engineering and Sciences Jacobs University Bremen, Germany","School of Engineering and Sciences, Jacobs University, Bremen, 28759, Germany"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Sciences Jacobs University Bremen, Germany","institution_ids":["https://openalex.org/I193619901"]},{"raw_affiliation_string":"School of Engineering and Sciences, Jacobs University, Bremen, 28759, Germany","institution_ids":["https://openalex.org/I193619901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042210188","display_name":"Giuseppe Thadeu Freitas de Abreu","orcid":"https://orcid.org/0000-0002-5018-8174"},"institutions":[{"id":"https://openalex.org/I193619901","display_name":"Constructor University","ror":"https://ror.org/02yrs2n53","country_code":"DE","type":"education","lineage":["https://openalex.org/I193619901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Giuseppe Abreu","raw_affiliation_strings":["School of Engineering and Sciences Jacobs University Bremen, Germany","School of Engineering and Sciences, Jacobs University, Bremen, 28759, Germany"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Sciences Jacobs University Bremen, Germany","institution_ids":["https://openalex.org/I193619901"]},{"raw_affiliation_string":"School of Engineering and Sciences, Jacobs University, Bremen, 28759, Germany","institution_ids":["https://openalex.org/I193619901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001160714"],"corresponding_institution_ids":["https://openalex.org/I193619901"],"apc_list":null,"apc_paid":null,"fwci":0.8108,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80135351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2656","last_page":"2661"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11946","display_name":"Antenna Design and Optimization","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11946","display_name":"Antenna Design and Optimization","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9990000128746033,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9984999895095825,"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.7113210558891296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6948197484016418},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6879341006278992},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6273728609085083},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.580560564994812},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5280333757400513},{"id":"https://openalex.org/keywords/transmitter-power-output","display_name":"Transmitter power output","score":0.5005195140838623},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.49282172322273254},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.44182658195495605},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3409515619277954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.280534565448761},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09784173965454102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09268006682395935},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08789509534835815}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7113210558891296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6948197484016418},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6879341006278992},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6273728609085083},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.580560564994812},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5280333757400513},{"id":"https://openalex.org/C65422117","wikidata":"https://www.wikidata.org/wiki/Q358527","display_name":"Transmitter power output","level":4,"score":0.5005195140838623},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.49282172322273254},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.44182658195495605},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3409515619277954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.280534565448761},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09784173965454102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09268006682395935},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08789509534835815},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2015.7248726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2015.7248726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Communications (ICC)","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":26,"referenced_works":["https://openalex.org/W312813459","https://openalex.org/W1525552993","https://openalex.org/W1577408952","https://openalex.org/W1642407538","https://openalex.org/W1989650254","https://openalex.org/W2000034396","https://openalex.org/W2042599231","https://openalex.org/W2056374194","https://openalex.org/W2081579463","https://openalex.org/W2103670141","https://openalex.org/W2105235982","https://openalex.org/W2107520399","https://openalex.org/W2118292438","https://openalex.org/W2121233130","https://openalex.org/W2140288088","https://openalex.org/W2140332797","https://openalex.org/W2151851437","https://openalex.org/W2158485755","https://openalex.org/W2162654459","https://openalex.org/W2296319761","https://openalex.org/W4250589301","https://openalex.org/W6610930706","https://openalex.org/W6634352367","https://openalex.org/W6675715838","https://openalex.org/W6675971554","https://openalex.org/W6683023810"],"related_works":["https://openalex.org/W3087844490","https://openalex.org/W3090699061","https://openalex.org/W4387546583","https://openalex.org/W2051762234","https://openalex.org/W2131408743","https://openalex.org/W2055634632","https://openalex.org/W2787827467","https://openalex.org/W4367031485","https://openalex.org/W3114941719","https://openalex.org/W4386883085"],"abstract_inverted_index":{"A":[0],"long-standing":[1],"problem":[2,83,162],"in":[3,169],"CoMP":[4,105],"is":[5,36,84,98,134,172,184],"that":[6,77,104,164],"existing":[7,141],"methods":[8],"either":[9],"require":[10],"perfect":[11],"and":[12,22,28,32,48,72,179],"instantaneous":[13],"CSIT":[14,30],"which":[15,66],"implies":[16],"the":[17,51,64,75,78,81,85,88,109,114,120,158,165,176],"need":[18],"of":[19,53,80,87,129,145,157],"excessive":[20],"piloting":[21],"backhauling,":[23],"so":[24,163],"as":[25,138,174],"to":[26,38,44,63,93,140],"acquire":[27],"distribute":[29],"accurately":[31],"timely.":[33],"Thus,":[34],"it":[35,97],"required":[37,166],"formulate":[39],"a":[40,61,68],"robust":[41,159],"beamforming":[42],"method":[43,154],"circumvent":[45],"this":[46,59,170],"drawbacks":[47],"has":[49],"been":[50],"focus":[52],"many":[54],"research":[55],"papers":[56],"recently.":[57],"In":[58],"paper,":[60],"solution":[62],"problem,":[65],"follows":[67],"relaxation-restriction":[69],"(RAR)":[70],"approach":[71,124],"emerges":[73],"from":[74],"observation":[76],"crux":[79],"robustness":[82],"construction":[86],"SINR":[89],"estimates":[90],"themselves,":[91],"subject":[92],"partial":[94],"CSIT.":[95],"Specifically,":[96],"shown":[99],"considering":[100],"SINR-constrained":[101,160],"transmit-power":[102],"minimization":[103],"algorithms":[106],"built":[107],"using":[108],"biased":[110],"estimator":[111],"significantly":[112],"outperform":[113],"best":[115],"recent":[116],"alternative":[117,133],"method,":[118],"namely":[119],"outage":[121,167],"based":[122],"probabilistic":[123],"with":[125],"Bernstein-type":[126],"inequality":[127],"relaxation":[128],"[1].":[130],"Our":[131],"proposed":[132],"also":[135],"less":[136],"relaxed":[137],"compared":[139],"literature.":[142],"The":[143],"level":[144],"conservatism":[146],"can":[147],"be":[148],"further":[149],"reduced":[150],"through":[151],"incorporating":[152],"bisection":[153],"on":[155],"top":[156],"optimization":[161],"probability":[168],"case":[171],"satisfied":[173],"per":[175],"user":[177],"requirement":[178],"transmit":[180],"power":[181],"efficient":[182],"solutions":[183],"obtained.":[185]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
