Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386248960> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W4386248960 abstract "The recent interweaving of AI-6G technologies has sparked extensive research interest in further enhancing reliable and timely communications. Age of Information (AoI), as a novel and integrated metric implying the intricate trade-offs among reliability, latency, and update frequency, has been well-researched since its conception. This paper contributes new results in this area by employing a Deep Reinforcement Learning (DRL) approach to intelligently decide how to allocate power resources and when to retransmit in a freshness-sensitive downlink multi-user Hybrid Automatic Repeat reQuest with Chase Combining (HARQ-CC) aided Non-Orthogonal Multiple Access (NOMA) network. Specifically, an AoI minimization problem is formulated as a Markov Decision Process (MDP) problem. Then, to achieve deterministic, age-optimal, and intelligent power allocations and retransmission decisions, the Double-Dueling-Deep Q Network (DQN) is adopted. Furthermore, a more flexible retransmission scheme, referred to as Retransmit-At-Will scheme, is proposed to further facilitate the timeliness of the HARQ-aided NOMA network. Simulation results verify the superiority of the proposed intelligent scheme and demonstrate the threshold structure of the retransmission policy. Also, answers to whether user pairing is necessary are discussed by extensive simulation results." @default.
- W4386248960 created "2023-08-30" @default.
- W4386248960 creator A5040367016 @default.
- W4386248960 creator A5041334059 @default.
- W4386248960 creator A5091745851 @default.
- W4386248960 date "2023-05-20" @default.
- W4386248960 modified "2023-09-27" @default.
- W4386248960 title "Deep Reinforcement Learning-Assisted Age-optimal Transmission Policy for HARQ-aided NOMA Networks" @default.
- W4386248960 cites W1993918491 @default.
- W4386248960 cites W2070609206 @default.
- W4386248960 cites W2277419020 @default.
- W4386248960 cites W2779803040 @default.
- W4386248960 cites W2857941047 @default.
- W4386248960 cites W2903879234 @default.
- W4386248960 cites W2976896362 @default.
- W4386248960 cites W3009767224 @default.
- W4386248960 cites W3044426611 @default.
- W4386248960 cites W3080961847 @default.
- W4386248960 cites W3089504129 @default.
- W4386248960 cites W3136338303 @default.
- W4386248960 cites W3163822322 @default.
- W4386248960 cites W3205260830 @default.
- W4386248960 doi "https://doi.org/10.1109/infocomwkshps57453.2023.10225923" @default.
- W4386248960 hasPublicationYear "2023" @default.
- W4386248960 type Work @default.
- W4386248960 citedByCount "0" @default.
- W4386248960 crossrefType "proceedings-article" @default.
- W4386248960 hasAuthorship W4386248960A5040367016 @default.
- W4386248960 hasAuthorship W4386248960A5041334059 @default.
- W4386248960 hasAuthorship W4386248960A5091745851 @default.
- W4386248960 hasConcept C105795698 @default.
- W4386248960 hasConcept C106189395 @default.
- W4386248960 hasConcept C118437007 @default.
- W4386248960 hasConcept C138660444 @default.
- W4386248960 hasConcept C154945302 @default.
- W4386248960 hasConcept C158379750 @default.
- W4386248960 hasConcept C159886148 @default.
- W4386248960 hasConcept C180611318 @default.
- W4386248960 hasConcept C2775918612 @default.
- W4386248960 hasConcept C31258907 @default.
- W4386248960 hasConcept C33923547 @default.
- W4386248960 hasConcept C41008148 @default.
- W4386248960 hasConcept C76155785 @default.
- W4386248960 hasConcept C82876162 @default.
- W4386248960 hasConcept C97541855 @default.
- W4386248960 hasConceptScore W4386248960C105795698 @default.
- W4386248960 hasConceptScore W4386248960C106189395 @default.
- W4386248960 hasConceptScore W4386248960C118437007 @default.
- W4386248960 hasConceptScore W4386248960C138660444 @default.
- W4386248960 hasConceptScore W4386248960C154945302 @default.
- W4386248960 hasConceptScore W4386248960C158379750 @default.
- W4386248960 hasConceptScore W4386248960C159886148 @default.
- W4386248960 hasConceptScore W4386248960C180611318 @default.
- W4386248960 hasConceptScore W4386248960C2775918612 @default.
- W4386248960 hasConceptScore W4386248960C31258907 @default.
- W4386248960 hasConceptScore W4386248960C33923547 @default.
- W4386248960 hasConceptScore W4386248960C41008148 @default.
- W4386248960 hasConceptScore W4386248960C76155785 @default.
- W4386248960 hasConceptScore W4386248960C82876162 @default.
- W4386248960 hasConceptScore W4386248960C97541855 @default.
- W4386248960 hasFunder F4320321001 @default.
- W4386248960 hasLocation W43862489601 @default.
- W4386248960 hasOpenAccess W4386248960 @default.
- W4386248960 hasPrimaryLocation W43862489601 @default.
- W4386248960 hasRelatedWork W2919730535 @default.
- W4386248960 hasRelatedWork W2920943421 @default.
- W4386248960 hasRelatedWork W3015473412 @default.
- W4386248960 hasRelatedWork W3041564347 @default.
- W4386248960 hasRelatedWork W3044426611 @default.
- W4386248960 hasRelatedWork W3100056250 @default.
- W4386248960 hasRelatedWork W4207045072 @default.
- W4386248960 hasRelatedWork W4287725332 @default.
- W4386248960 hasRelatedWork W4320057407 @default.
- W4386248960 hasRelatedWork W4386248960 @default.
- W4386248960 isParatext "false" @default.
- W4386248960 isRetracted "false" @default.
- W4386248960 workType "article" @default.