{"id":"https://openalex.org/W7137256694","doi":"https://doi.org/10.1109/ants66931.2025.11429832","title":"Trajectory-Aware Lightweight Outage Prediction for 5G and Beyond in Hilly Urban Networks","display_name":"Trajectory-Aware Lightweight Outage Prediction for 5G and Beyond in Hilly Urban Networks","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7137256694","doi":"https://doi.org/10.1109/ants66931.2025.11429832"},"language":null,"primary_location":{"id":"doi:10.1109/ants66931.2025.11429832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ants66931.2025.11429832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","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/A5129508133","display_name":"Lalzuitluanga","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157823","display_name":"Government of Mizoram","ror":"https://ror.org/05xemz742","country_code":"IN","type":"government","lineage":["https://openalex.org/I4210157823"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Lalzuitluanga","raw_affiliation_strings":["NIT Mizoram,Dept. of CSE"],"affiliations":[{"raw_affiliation_string":"NIT Mizoram,Dept. of CSE","institution_ids":["https://openalex.org/I4210157823"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129604516","display_name":"Lalfakzuala","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157823","display_name":"Government of Mizoram","ror":"https://ror.org/05xemz742","country_code":"IN","type":"government","lineage":["https://openalex.org/I4210157823"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Lalfakzuala","raw_affiliation_strings":["NIT Mizoram,Dept. of CSE"],"affiliations":[{"raw_affiliation_string":"NIT Mizoram,Dept. of CSE","institution_ids":["https://openalex.org/I4210157823"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129448147","display_name":"Lalhruaizela","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157823","display_name":"Government of Mizoram","ror":"https://ror.org/05xemz742","country_code":"IN","type":"government","lineage":["https://openalex.org/I4210157823"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Lalhruaizela","raw_affiliation_strings":["NIT Mizoram,Dept. of CSE"],"affiliations":[{"raw_affiliation_string":"NIT Mizoram,Dept. of CSE","institution_ids":["https://openalex.org/I4210157823"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5129508133"],"corresponding_institution_ids":["https://openalex.org/I4210157823"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.67975158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.19550000131130219,"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":0.19550000131130219,"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":0.14820000529289246,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.07989999651908875,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/field","display_name":"Field (mathematics)","score":0.3050000071525574},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2745000123977661},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.2538999915122986},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.2529999911785126},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.24629999697208405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5102999806404114},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.24629999697208405},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24390000104904175},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2354000061750412},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.23350000381469727},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2240999937057495}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ants66931.2025.11429832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ants66931.2025.11429832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7550910711288452,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2962883549","https://openalex.org/W2963393241","https://openalex.org/W3134356777","https://openalex.org/W3202366834","https://openalex.org/W4214619930","https://openalex.org/W4281650517","https://openalex.org/W4312975935","https://openalex.org/W4386456769","https://openalex.org/W4388069315","https://openalex.org/W4391454502","https://openalex.org/W4392392821","https://openalex.org/W4400808207","https://openalex.org/W4402156574","https://openalex.org/W4404872680"],"related_works":[],"abstract_inverted_index":{"Reliable":[0],"mobility":[1,90,138],"management":[2],"remains":[3],"a":[4,31,52],"critical":[5],"challenge":[6],"for":[7,37,107,136],"ensuring":[8],"seamless":[9],"connectivity":[10],"in":[11,16,143],"5G":[12],"and":[13,80,91,120,131,140],"beyond,":[14],"particularly":[15],"hilly":[17],"urban":[18],"environments":[19],"where":[20],"terrain-induced":[21],"signal":[22,42],"variations":[23],"frequently":[24],"disrupt":[25],"radio":[26],"links.":[27],"This":[28],"paper":[29],"proposes":[30],"trajectory-aware,":[32],"lightweight":[33],"machine":[34],"learning":[35],"framework":[36,50],"early":[38],"prediction":[39],"of":[40,66],"cellular":[41],"degradation":[43],"along":[44],"user":[45,89],"or":[46],"vehicular":[47],"routes.":[48],"The":[49,127],"employs":[51],"LightGBM-based":[53],"classifier":[54],"to":[55],"forecast":[56],"imminent":[57],"outage":[58],"conditions":[59],"(RSRP":[60],"\u2264\u2212100":[61],"dBm)":[62],"within":[63],"short-term":[64],"horizons":[65],"30\u2013120":[67],"seconds":[68],"using":[69],"real-world":[70],"two-wheeler":[71],"drive":[72],"test":[73],"data.":[74],"By":[75],"combining":[76],"geometric,":[77],"motion,":[78],"signal,":[79],"elevation":[81],"features,":[82],"the":[83,86],"model":[84],"captures":[85],"interplay":[87],"between":[88],"terrain":[92],"topology.":[93],"Unlike":[94],"deep":[95],"sequential":[96],"approaches,":[97],"it":[98],"operates":[99],"on":[100],"single-snapshot":[101],"inputs,":[102],"enabling":[103],"low-latency":[104],"inference":[105],"suitable":[106],"edge":[108],"deployment.":[109],"Experimental":[110],"results":[111],"across":[112],"different":[113],"network":[114],"operators":[115],"demonstrate":[116],"strong":[117],"intra-operator":[118],"performance":[119],"improved":[121],"cross-operator":[122],"generalization":[123],"through":[124],"minimal":[125],"finetuning.":[126],"proposed":[128],"framework\u2019s":[129],"efficiency":[130],"adaptability":[132],"underscore":[133],"its":[134],"potential":[135],"proactive":[137],"optimization":[139],"on-device":[141],"integration":[142],"emerging":[144],"6G":[145],"systems.":[146]},"counts_by_year":[],"updated_date":"2026-03-18T06:27:02.140700","created_date":"2026-03-17T00:00:00"}