{"id":"https://openalex.org/W7202340316","doi":"https://doi.org/10.1109/cits70307.2026.11637274","title":"Graph-Centric Deep Q-Learning for Interference-Aware Resource Allocation in Rsma-Enabled 5G Slicing","display_name":"Graph-Centric Deep Q-Learning for Interference-Aware Resource Allocation in Rsma-Enabled 5G Slicing","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7202340316","doi":"https://doi.org/10.1109/cits70307.2026.11637274"},"language":"en","primary_location":{"id":"doi:10.1109/cits70307.2026.11637274","doi":"https://doi.org/10.1109/cits70307.2026.11637274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cits70307.2026.11637274","pdf_url":null,"source":{"id":"https://openalex.org/S4306423418","display_name":"International Conference on Computer, Information and Telecommunication Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Computer, Information and Telecommunication Systems (CITS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://bura.brunel.ac.uk/bitstream/2438/33804/4/FullText.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014257585","display_name":"Aya Kh. Ahmed","orcid":"https://orcid.org/0000-0002-3902-1760","observed_orcids":["https://orcid.org/0000-0002-3902-1760"]},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Aya Kh. Ahmed","raw_affiliation_strings":["College of Engineering, Design, and Physical Science, Brunel University of London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Design, and Physical Science, Brunel University of London","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035128662","display_name":"Nadia Al-Aboody","orcid":"https://orcid.org/0000-0003-4130-402X","observed_orcids":["https://orcid.org/0000-0003-4130-402X"]},"institutions":[{"id":"https://openalex.org/I4210145266","display_name":"Southern Technical University","ror":"https://ror.org/03sax3264","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4210145266"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Nadia Al-Aboody","raw_affiliation_strings":["Southern Technical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Technical University","institution_ids":["https://openalex.org/I4210145266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036588740","display_name":"Hamed Saffa Al-Raweshidy","orcid":"https://orcid.org/0000-0002-3702-8192","observed_orcids":["https://orcid.org/0000-0002-3702-8192"]},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hamed S. Al-Raweshidy","raw_affiliation_strings":["College of Engineering, Design, and Physical Science, Brunel University of London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Design, and Physical Science, Brunel University of London","institution_ids":["https://openalex.org/I59433898"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.8163999915122986,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.8163999915122986,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.07119999825954437,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.03480000048875809,"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/rate-splitting-multiple-access","display_name":"rate-splitting multiple access","score":0.9570000171661377},{"id":"https://openalex.org/keywords/5g-network-slicing","display_name":"5G network slicing","score":0.8299999833106995},{"id":"https://openalex.org/keywords/intercell-interference","display_name":"inter-cell interference","score":0.628000020980835},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"resource allocation","score":0.8769999742507935},{"id":"https://openalex.org/keywords/power-splitting","display_name":"power splitting","score":0.7300000190734863},{"id":"https://openalex.org/keywords/graph-neural-networks","display_name":"graph neural networks","score":0.9380000233650208},{"id":"https://openalex.org/keywords/deep-q-network","display_name":"deep Q-network","score":0.8479999899864197},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"reinforcement learning","score":0.777999997138977},{"id":"https://openalex.org/keywords/spectral-efficiency","display_name":"spectral efficiency","score":0.6830000281333923},{"id":"https://openalex.org/keywords/6g-networks","display_name":"6G","score":0.6639999747276306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6399999856948853},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.4853000044822693},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.44699999690055847},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.35249999165534973},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26030001044273376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25380000472068787},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2513999938964844},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.24869999289512634}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cits70307.2026.11637274","doi":"https://doi.org/10.1109/cits70307.2026.11637274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cits70307.2026.11637274","pdf_url":null,"source":{"id":"https://openalex.org/S4306423418","display_name":"International Conference on Computer, Information and Telecommunication Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Computer, Information and Telecommunication Systems (CITS)","raw_type":"proceedings-article"},{"id":"pmh:oai:bura.brunel.ac.uk:2438/33804","doi":null,"is_oa":true,"landing_page_url":"https://bura.brunel.ac.uk/handle/2438/33804","pdf_url":"https://bura.brunel.ac.uk/bitstream/2438/33804/4/FullText.pdf","source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2026 International Conference on Computer, Information and Telecommunication Systems (CITS)","raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:bura.brunel.ac.uk:2438/33804","doi":null,"is_oa":true,"landing_page_url":"https://bura.brunel.ac.uk/handle/2438/33804","pdf_url":"https://bura.brunel.ac.uk/bitstream/2438/33804/4/FullText.pdf","source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2026 International Conference on Computer, Information and Telecommunication Systems (CITS)","raw_type":"Conference paper"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6773999929428101,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7202340316.pdf","grobid_xml":"https://content.openalex.org/works/W7202340316.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W3006210340","https://openalex.org/W4321787282","https://openalex.org/W4366375072","https://openalex.org/W4388085101","https://openalex.org/W4389169760","https://openalex.org/W4392152308","https://openalex.org/W4399788780","https://openalex.org/W4400112745","https://openalex.org/W4401113808","https://openalex.org/W4404814541","https://openalex.org/W4406277842","https://openalex.org/W4410035123","https://openalex.org/W4411583209","https://openalex.org/W4412536746","https://openalex.org/W4412537260","https://openalex.org/W4412830238","https://openalex.org/W4414646781"],"related_works":["https://openalex.org/W4408357985","https://openalex.org/W3161104623","https://openalex.org/W4384161787","https://openalex.org/W4409262907","https://openalex.org/W7165771902","https://openalex.org/W6986834367","https://openalex.org/W7127593918","https://openalex.org/W7138825281","https://openalex.org/W7213559325","https://openalex.org/W7165761342"],"abstract_inverted_index":{"The":[0],"emergence":[1],"of":[2,18,42,103,130,156],"5G":[3,202],"and":[4,21,33,81,99,138,195,203],"6G":[5,204],"advanced":[6],"ecosystems":[7],"demands":[8],"highly":[9],"adaptive":[10],"resource":[11,97,165],"management":[12],"to":[13,76,94,134,168],"orchestrate":[14],"the":[15,63,69,104,112,142,157,172],"specialised":[16],"requirements":[17],"eMBB,":[19],"URLLC,":[20],"mMTC":[22],"network":[23,64],"slices.":[24],"In":[25],"dense":[26],"multi-cell":[27],"environments,":[28],"capturing":[29],"complex":[30],"spatial":[31,79],"interdependencies":[32],"mitigating":[34],"dynamic":[35,100],"interference":[36,84],"is":[37],"paramount":[38],"for":[39,53,198],"maintaining":[40,148],"Quality":[41],"Service":[43],"(QoS).":[44],"This":[45],"paper":[46],"introduces":[47],"a":[48,67,89,117,161,181,192],"robust":[49],"GNN-DQN":[50,114,190],"framework":[51,70,115,143],"designed":[52],"Rate":[54],"Splitting":[55],"Multiple":[56],"Access":[57],"(RSMA)":[58],"based":[59],"networks.":[60,205],"By":[61],"representing":[62,126],"topology":[65],"as":[66,191],"graph,":[68],"leverages":[71],"Graph":[72],"Neural":[73],"Networks":[74],"(GNNs)":[75],"extract":[77],"highdimensional":[78],"features":[80],"model":[82],"inter-cell":[83],"patterns.":[85],"These":[86],"insights":[87],"enable":[88],"Deep":[90],"Q-Network":[91],"(DQN)":[92],"agent":[93],"perform":[95],"intelligent":[96,199],"partitioning":[98],"power":[101],"splitting":[102],"RSMA":[105],"common":[106],"stream.":[107],"Experimental":[108],"results":[109],"demonstrate":[110],"that":[111],"proposed":[113],"achieves":[116],"connectivity":[118,150],"success":[119],"ratio":[120],"exceeding":[121],"90%":[122],"across":[123],"all":[124],"slices,":[125],"an":[127],"average":[128],"improvement":[129],"over":[131],"60%":[132],"compared":[133,167],"non-graph-based":[135],"reinforcement":[136],"learning":[137],"supervised":[139],"baselines.":[140],"Notably,":[141],"demonstrates":[144],"exceptional":[145],"spectral":[146],"efficiency,":[147],"near-total":[149],"while":[151],"utilising":[152],"less":[153],"than":[154],"10%":[155],"normalised":[158],"system":[159,184],"bandwidth,":[160],"4\u00d7":[162],"reduction":[163],"in":[164,201],"overhead":[166],"traditional":[169],"methods.":[170],"Furthermore,":[171],"GNN-driven":[173],"architecture":[174],"ensures":[175],"stable":[176],"convergence":[177],"during":[178],"training,":[179],"yielding":[180],"1.6\u00d7":[182],"higher":[183],"reward":[185],"score.":[186],"Our":[187],"findings":[188],"validate":[189],"high-performance,":[193],"scalable,":[194],"resource-efficient":[196],"paradigm":[197],"orchestration":[200]},"counts_by_year":[],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2026-08-14T00:00:00"}