FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2989639897> ?p ?o ?g. }

• W2989639897 endingPage "421" @default.
• W2989639897 startingPage "408" @default.
• W2989639897 abstract "Proactive resource allocation (PRA) is an essential technology boosting intelligent communication, as it can make full use of prediction and significantly improve network performance. However, most promising gains base on perfect prediction which is unrealistic. How to make PRA robust against prediction uncertainty and maximize benefits brought by prediction becomes an important issue. In this paper, we tackle this problem and propose a mobility-aware robust PRA approach (MRPRA) in heterogeneous networks. MRPRA pre-allocates resources in both time and frequency domains among mobile users with users' trajectories predicted by hidden Markov model. The objective is to minimize service delay under constraints of different levels of quality-of-service (QoS) requirement and mobility intensity. MRPRA is robust against prediction uncertainty by exploiting probabilistic constraint programming to model QoS requirements in a probabilistic sense. To this end, the probabilistic distribution of achievable rate is derived. To flexibly coordinate resource allocation among multiple mobile users over time horizon, a deep reinforcement learning based multi-actor deep deterministic policy gradient algorithm is designed. It learns robust PRA policies by distributed acting and centralized criticizing. Extensive numerical simulations are performed to analyze performances of the proposed approach." @default.
• W2989639897 created "2019-12-05" @default.
• W2989639897 creator A5016482066 @default.
• W2989639897 creator A5043794346 @default.
• W2989639897 creator A5050803462 @default.
• W2989639897 creator A5051868243 @default.
• W2989639897 creator A5060259824 @default.
• W2989639897 creator A5068550189 @default.
• W2989639897 date "2020-03-01" @default.
• W2989639897 modified "2023-10-16" @default.
• W2989639897 title "Deep Reinforcement Learning-Based Mobility-Aware Robust Proactive Resource Allocation in Heterogeneous Networks" @default.
• W2989639897 cites W1987228002 @default.
• W2989639897 cites W2009472890 @default.
• W2989639897 cites W2074331929 @default.
• W2989639897 cites W2093540532 @default.
• W2989639897 cites W2110520460 @default.
• W2989639897 cites W2291721884 @default.
• W2989639897 cites W2328220946 @default.
• W2989639897 cites W2471013720 @default.
• W2989639897 cites W2519075622 @default.
• W2989639897 cites W2523438800 @default.
• W2989639897 cites W2532256227 @default.
• W2989639897 cites W2595800070 @default.
• W2989639897 cites W2599106590 @default.
• W2989639897 cites W2616256085 @default.
• W2989639897 cites W2739678353 @default.
• W2989639897 cites W2767359317 @default.
• W2989639897 cites W2772526503 @default.
• W2989639897 cites W2772549998 @default.
• W2989639897 cites W2775482448 @default.
• W2989639897 cites W2883175183 @default.
• W2989639897 cites W2885033069 @default.
• W2989639897 cites W2900935108 @default.
• W2989639897 cites W2907697679 @default.
• W2989639897 cites W2908878984 @default.
• W2989639897 cites W2915366365 @default.
• W2989639897 cites W2918517354 @default.
• W2989639897 cites W3101445254 @default.
• W2989639897 doi "https://doi.org/10.1109/tccn.2019.2954396" @default.
• W2989639897 hasPublicationYear "2020" @default.
• W2989639897 type Work @default.
• W2989639897 sameAs 2989639897 @default.
• W2989639897 citedByCount "19" @default.
• W2989639897 countsByYear W29896398972020 @default.
• W2989639897 countsByYear W29896398972021 @default.
• W2989639897 countsByYear W29896398972022 @default.
• W2989639897 countsByYear W29896398972023 @default.
• W2989639897 crossrefType "journal-article" @default.
• W2989639897 hasAuthorship W2989639897A5016482066 @default.
• W2989639897 hasAuthorship W2989639897A5043794346 @default.
• W2989639897 hasAuthorship W2989639897A5050803462 @default.
• W2989639897 hasAuthorship W2989639897A5051868243 @default.
• W2989639897 hasAuthorship W2989639897A5060259824 @default.
• W2989639897 hasAuthorship W2989639897A5068550189 @default.
• W2989639897 hasConcept C104317684 @default.
• W2989639897 hasConcept C105795698 @default.
• W2989639897 hasConcept C106189395 @default.
• W2989639897 hasConcept C120314980 @default.
• W2989639897 hasConcept C126255220 @default.
• W2989639897 hasConcept C153646914 @default.
• W2989639897 hasConcept C154945302 @default.
• W2989639897 hasConcept C159886148 @default.
• W2989639897 hasConcept C185592680 @default.
• W2989639897 hasConcept C2780609101 @default.
• W2989639897 hasConcept C28761237 @default.
• W2989639897 hasConcept C29202148 @default.
• W2989639897 hasConcept C31258907 @default.
• W2989639897 hasConcept C33923547 @default.
• W2989639897 hasConcept C41008148 @default.
• W2989639897 hasConcept C46686674 @default.
• W2989639897 hasConcept C49937458 @default.
• W2989639897 hasConcept C5119721 @default.
• W2989639897 hasConcept C55493867 @default.
• W2989639897 hasConcept C63479239 @default.
• W2989639897 hasConcept C97541855 @default.
• W2989639897 hasConceptScore W2989639897C104317684 @default.
• W2989639897 hasConceptScore W2989639897C105795698 @default.
• W2989639897 hasConceptScore W2989639897C106189395 @default.
• W2989639897 hasConceptScore W2989639897C120314980 @default.
• W2989639897 hasConceptScore W2989639897C126255220 @default.
• W2989639897 hasConceptScore W2989639897C153646914 @default.
• W2989639897 hasConceptScore W2989639897C154945302 @default.
• W2989639897 hasConceptScore W2989639897C159886148 @default.
• W2989639897 hasConceptScore W2989639897C185592680 @default.
• W2989639897 hasConceptScore W2989639897C2780609101 @default.
• W2989639897 hasConceptScore W2989639897C28761237 @default.
• W2989639897 hasConceptScore W2989639897C29202148 @default.
• W2989639897 hasConceptScore W2989639897C31258907 @default.
• W2989639897 hasConceptScore W2989639897C33923547 @default.
• W2989639897 hasConceptScore W2989639897C41008148 @default.
• W2989639897 hasConceptScore W2989639897C46686674 @default.
• W2989639897 hasConceptScore W2989639897C49937458 @default.
• W2989639897 hasConceptScore W2989639897C5119721 @default.
• W2989639897 hasConceptScore W2989639897C55493867 @default.
• W2989639897 hasConceptScore W2989639897C63479239 @default.
• W2989639897 hasConceptScore W2989639897C97541855 @default.
• W2989639897 hasFunder F4320321001 @default.
• W2989639897 hasFunder F4320325902 @default.

• next