{"id":"https://openalex.org/W1589707171","doi":"https://doi.org/10.1109/iccw.2015.7247479","title":"Two-dimensional sensing in energy harvesting cognitive radio networks","display_name":"Two-dimensional sensing in energy harvesting cognitive radio networks","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1589707171","doi":"https://doi.org/10.1109/iccw.2015.7247479","mag":"1589707171"},"language":"en","primary_location":{"id":"doi:10.1109/iccw.2015.7247479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccw.2015.7247479","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 Communication Workshop (ICCW)","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/A5100389081","display_name":"Yanyan Zhang","orcid":"https://orcid.org/0000-0001-7801-0215"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yanyan Zhang","raw_affiliation_strings":["Texas A&M University, United States","Texas A&M University (United States)"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, United States","institution_ids":[]},{"raw_affiliation_string":"Texas A&M University (United States)","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028236191","display_name":"Weijia Han","orcid":"https://orcid.org/0000-0001-8378-3036"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijia Han","raw_affiliation_strings":["Xidian University, China","XiDian Univ., China"],"affiliations":[{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"XiDian Univ., China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446355","display_name":"Di Li","orcid":"https://orcid.org/0000-0001-8116-1065"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Di Li","raw_affiliation_strings":["Texas A&M University, United States","Texas A&M University (United States)"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, United States","institution_ids":[]},{"raw_affiliation_string":"Texas A&M University (United States)","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405787","display_name":"Ping Zhang","orcid":"https://orcid.org/0000-0002-0269-104X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China","Beijing Univ. of  Posts and Telecommunications (China)"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Univ. of  Posts and Telecommunications (China)","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009164482","display_name":"Shuguang Cui","orcid":"https://orcid.org/0000-0003-2608-775X"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuguang Cui","raw_affiliation_strings":["Texas A&M University, United States","Texas A&M University (United States)"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, United States","institution_ids":[]},{"raw_affiliation_string":"Texas A&M University (United States)","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100389081"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.6656,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72722062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2029","last_page":"2034"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9990000128746033,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9965000152587891,"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/cognitive-radio","display_name":"Cognitive radio","score":0.9413166046142578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7362126708030701},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5066784024238586},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4921404719352722},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4891076683998108},{"id":"https://openalex.org/keywords/energy-harvesting","display_name":"Energy harvesting","score":0.48487862944602966},{"id":"https://openalex.org/keywords/economic-shortage","display_name":"Economic shortage","score":0.48330023884773254},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4481026530265808},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.44574299454689026},{"id":"https://openalex.org/keywords/transmitter-power-output","display_name":"Transmitter power output","score":0.41965678334236145},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.3631555438041687},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.35741204023361206},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3346824645996094},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32169803977012634},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.19005265831947327},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.16914182901382446},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13674214482307434},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10549548268318176}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.9413166046142578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7362126708030701},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5066784024238586},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4921404719352722},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4891076683998108},{"id":"https://openalex.org/C101518730","wikidata":"https://www.wikidata.org/wiki/Q930236","display_name":"Energy harvesting","level":3,"score":0.48487862944602966},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.48330023884773254},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4481026530265808},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.44574299454689026},{"id":"https://openalex.org/C65422117","wikidata":"https://www.wikidata.org/wiki/Q358527","display_name":"Transmitter power output","level":4,"score":0.41965678334236145},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.3631555438041687},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.35741204023361206},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3346824645996094},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32169803977012634},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.19005265831947327},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.16914182901382446},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13674214482307434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10549548268318176},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccw.2015.7247479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccw.2015.7247479","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 Communication Workshop (ICCW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1965392255","https://openalex.org/W2003688737","https://openalex.org/W2027431229","https://openalex.org/W2038809151","https://openalex.org/W2043388906","https://openalex.org/W2051012133","https://openalex.org/W2051755734","https://openalex.org/W2053639410","https://openalex.org/W2058833614","https://openalex.org/W2075530143","https://openalex.org/W2091014165","https://openalex.org/W2108143556","https://openalex.org/W2109064594","https://openalex.org/W2115539095","https://openalex.org/W2122752988","https://openalex.org/W2134254435","https://openalex.org/W2142991417","https://openalex.org/W2165202277","https://openalex.org/W2165959773","https://openalex.org/W2169108267","https://openalex.org/W2964109565","https://openalex.org/W4233083810","https://openalex.org/W6660020378","https://openalex.org/W6663581726","https://openalex.org/W6673342343","https://openalex.org/W6676313308"],"related_works":["https://openalex.org/W59120657","https://openalex.org/W2075530143","https://openalex.org/W3091795725","https://openalex.org/W2325128397","https://openalex.org/W1531121096","https://openalex.org/W2384509413","https://openalex.org/W2995861515","https://openalex.org/W3193940080","https://openalex.org/W2139615693","https://openalex.org/W2121601714"],"abstract_inverted_index":{"Energy":[0],"harvester":[1],"based":[2,66],"cognitive":[3,160],"radio":[4],"is":[5,64,105,146],"a":[6,71,89],"promising":[7],"solution":[8],"to":[9,48,76,97,150],"address":[10],"the":[11,19,29,40,50,57,61,78,84,99,110,120,123,129,135,140,147,153,159],"shortage":[12],"of":[13,60,108,122,128,142],"both":[14],"spectrum":[15,20,51,91,154],"and":[16,22,28,92,116,155],"energy.":[17],"Since":[18],"access":[21],"power":[23,30,42,93,113,137,156],"consumption":[24],"patterns":[25],"are":[26,37],"interdependent,":[27],"value":[31],"harvested":[32],"from":[33],"certain":[34],"environmental":[35],"sources":[36],"spatially":[38],"correlated,":[39],"new":[41,136],"dimension":[43],"could":[44],"provide":[45],"additional":[46],"information":[47],"enhance":[49],"sensing":[52,95],"accuracy.":[53],"In":[54],"this":[55,145],"paper,":[56],"Markovian":[58],"behavior":[59],"primary":[62,79,100,111,161],"users":[63],"considered,":[65],"on":[67],"which":[68,104],"we":[69,87],"adopt":[70],"hidden":[72],"input":[73],"Markov":[74],"model":[75],"specify":[77],"vs.":[80],"secondary":[81],"dynamics":[82],"in":[83,126],"system.":[85],"Accordingly,":[86],"propose":[88],"2-D":[90],"(harvested)":[94],"scheme":[96],"improve":[98],"user":[101,162],"detection":[102,163],"performance,":[103],"also":[106],"capable":[107],"estimating":[109],"transmit":[112],"level.":[114],"Theoretical":[115],"simulated":[117],"results":[118],"demonstrate":[119],"effectiveness":[121],"proposed":[124],"scheme,":[125],"term":[127],"performance":[130],"gain":[131],"achieved":[132],"by":[133],"considering":[134],"dimension.":[138],"To":[139],"best":[141],"our":[143],"knowledge,":[144],"first":[148],"work":[149],"jointly":[151],"consider":[152],"dimensions":[157],"for":[158],"problem.":[164]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}