Matches in SemOpenAlex for { <https://semopenalex.org/work/W4319596357> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W4319596357 endingPage "29" @default.
- W4319596357 startingPage "19" @default.
- W4319596357 abstract "The internet of robotic things (IoRT) is a modern as well as fast-evolving technology employed in abundant socio-economical aspects which connect user equipment (UE) for communication and data transfer among each other. For ensuring the quality of service (QoS) in IoRT applications, radio resources, for example, transmitting power allocation (PA), interference management, throughput maximization etc., should be efficiently employed and allocated among UE. Traditionally, resource allocation has been formulated using optimization problems, which are then solved using mathematical computer techniques. However, those optimization problems are generally nonconvex as well as nondeterministic polynomial-time hardness (NP-hard). In this paper, one of the most crucial challenges in radio resource management is the emitting power of an antenna called PA, considering that the interfering multiple access channel (IMAC) has been considered. In addition, UE has a natural movement behavior that directly impacts the channel condition between remote radio head (RRH) and UE. Additionally, we have considered two well-known UE mobility models i) random walk and ii) modified Gauss-Markov (GM). As a result, the simulation environment is more realistic and complex. A data-driven as well as model-free continuous action based deep reinforcement learning algorithm called twin delayed deep deterministic policy gradient (TD3) has been proposed that is the combination of policy gradient, actor-critics, as well as double deep Q-learning (DDQL). It optimizes the PA for i) stationary UE, ii) the UE movements according to random walk model, and ii) the UE movement based on the modified GM model. Simulation results show that the proposed TD3 method outperforms model-based techniques like weighted MMSE (WMMSE) and fractional programming (FP) as well as model-free algorithms, for example, deep Q network (DQN) and DDPG in terms of average sum-rate performance." @default.
- W4319596357 created "2023-02-09" @default.
- W4319596357 creator A5003261501 @default.
- W4319596357 creator A5027435183 @default.
- W4319596357 creator A5041422381 @default.
- W4319596357 date "2023-01-01" @default.
- W4319596357 modified "2023-09-26" @default.
- W4319596357 title "Twin Delayed DDPG based Dynamic Power Allocation for Mobility in IoRT" @default.
- W4319596357 doi "https://doi.org/10.24138/jcomss-2022-0141" @default.
- W4319596357 hasPublicationYear "2023" @default.
- W4319596357 type Work @default.
- W4319596357 citedByCount "1" @default.
- W4319596357 countsByYear W43195963572023 @default.
- W4319596357 crossrefType "journal-article" @default.
- W4319596357 hasAuthorship W4319596357A5003261501 @default.
- W4319596357 hasAuthorship W4319596357A5027435183 @default.
- W4319596357 hasAuthorship W4319596357A5041422381 @default.
- W4319596357 hasBestOaLocation W43195963571 @default.
- W4319596357 hasConcept C11413529 @default.
- W4319596357 hasConcept C126255220 @default.
- W4319596357 hasConcept C127162648 @default.
- W4319596357 hasConcept C154945302 @default.
- W4319596357 hasConcept C176181172 @default.
- W4319596357 hasConcept C2776330181 @default.
- W4319596357 hasConcept C2781327853 @default.
- W4319596357 hasConcept C29202148 @default.
- W4319596357 hasConcept C31258907 @default.
- W4319596357 hasConcept C32022120 @default.
- W4319596357 hasConcept C33923547 @default.
- W4319596357 hasConcept C41008148 @default.
- W4319596357 hasConcept C44154836 @default.
- W4319596357 hasConcept C68649174 @default.
- W4319596357 hasConcept C97541855 @default.
- W4319596357 hasConceptScore W4319596357C11413529 @default.
- W4319596357 hasConceptScore W4319596357C126255220 @default.
- W4319596357 hasConceptScore W4319596357C127162648 @default.
- W4319596357 hasConceptScore W4319596357C154945302 @default.
- W4319596357 hasConceptScore W4319596357C176181172 @default.
- W4319596357 hasConceptScore W4319596357C2776330181 @default.
- W4319596357 hasConceptScore W4319596357C2781327853 @default.
- W4319596357 hasConceptScore W4319596357C29202148 @default.
- W4319596357 hasConceptScore W4319596357C31258907 @default.
- W4319596357 hasConceptScore W4319596357C32022120 @default.
- W4319596357 hasConceptScore W4319596357C33923547 @default.
- W4319596357 hasConceptScore W4319596357C41008148 @default.
- W4319596357 hasConceptScore W4319596357C44154836 @default.
- W4319596357 hasConceptScore W4319596357C68649174 @default.
- W4319596357 hasConceptScore W4319596357C97541855 @default.
- W4319596357 hasIssue "1" @default.
- W4319596357 hasLocation W43195963571 @default.
- W4319596357 hasLocation W43195963572 @default.
- W4319596357 hasOpenAccess W4319596357 @default.
- W4319596357 hasPrimaryLocation W43195963571 @default.
- W4319596357 hasRelatedWork W2023730434 @default.
- W4319596357 hasRelatedWork W2036698740 @default.
- W4319596357 hasRelatedWork W2083288908 @default.
- W4319596357 hasRelatedWork W2116631012 @default.
- W4319596357 hasRelatedWork W2139278147 @default.
- W4319596357 hasRelatedWork W2278832915 @default.
- W4319596357 hasRelatedWork W2513356504 @default.
- W4319596357 hasRelatedWork W2919245305 @default.
- W4319596357 hasRelatedWork W2953150049 @default.
- W4319596357 hasRelatedWork W4200192754 @default.
- W4319596357 hasVolume "19" @default.
- W4319596357 isParatext "false" @default.
- W4319596357 isRetracted "false" @default.
- W4319596357 workType "article" @default.