Matches in SemOpenAlex for { <https://semopenalex.org/work/W4328006306> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W4328006306 abstract "The problem of deploying unmanned aerial vehicles (UAVs) to form a wireless cellular network has gained much attention. Most of the recent works either need to know the locations of users or to make decision in a centralized way. In this paper, we design a distributed learning-based 3D UAV placement approach, named SDQ-H. Given a set of UAVs, SDQ-H builds an integrated ground-air cellular network to maximize the number of ground users (GUs) covered, without requiring knowledge of geographic locations of GUs. SDQ-H decouples the 3D UAV placement problem into two sub-optimal optimization problems. First, we utilize a Q-learning algorithm to optimize UAV positions in 2D space, i.e., in longitude and latitude. UAVs are modeled as agents, each of which takes action independently according to its position and reward. Then, we finetune the position of UAVs in the third dimension, i.e., height. The above two optimization processes are carried out alternately until convergence. We conduct simulations on several different user distributions. Simulation results demonstrate the superiority of SDQ-H." @default.
- W4328006306 created "2023-03-22" @default.
- W4328006306 creator A5005801799 @default.
- W4328006306 creator A5013173652 @default.
- W4328006306 creator A5018742393 @default.
- W4328006306 date "2022-08-01" @default.
- W4328006306 modified "2023-10-16" @default.
- W4328006306 title "A Distributed 3D UAV Placement Algorithm for Integrated Ground-Air Cellular Networks" @default.
- W4328006306 cites W1988456768 @default.
- W4328006306 cites W2031834036 @default.
- W4328006306 cites W2039409843 @default.
- W4328006306 cites W2136096971 @default.
- W4328006306 cites W2268751503 @default.
- W4328006306 cites W2287328657 @default.
- W4328006306 cites W2289204537 @default.
- W4328006306 cites W2803834024 @default.
- W4328006306 cites W2807458361 @default.
- W4328006306 cites W2807655913 @default.
- W4328006306 cites W2886180905 @default.
- W4328006306 cites W2910072269 @default.
- W4328006306 cites W2925554975 @default.
- W4328006306 cites W2941703667 @default.
- W4328006306 cites W2962259706 @default.
- W4328006306 cites W2962691117 @default.
- W4328006306 cites W2963083801 @default.
- W4328006306 cites W2963133483 @default.
- W4328006306 cites W2963523817 @default.
- W4328006306 cites W2963615009 @default.
- W4328006306 cites W2964313027 @default.
- W4328006306 cites W2972876874 @default.
- W4328006306 cites W2973184394 @default.
- W4328006306 cites W2990233814 @default.
- W4328006306 cites W3004744299 @default.
- W4328006306 cites W3012971645 @default.
- W4328006306 cites W3041678225 @default.
- W4328006306 cites W3091845044 @default.
- W4328006306 cites W3091989295 @default.
- W4328006306 cites W3095931495 @default.
- W4328006306 cites W3098593178 @default.
- W4328006306 cites W3099423785 @default.
- W4328006306 cites W3106530718 @default.
- W4328006306 cites W3136993688 @default.
- W4328006306 cites W3159690590 @default.
- W4328006306 cites W4214717370 @default.
- W4328006306 doi "https://doi.org/10.1109/bigcom57025.2022.00058" @default.
- W4328006306 hasPublicationYear "2022" @default.
- W4328006306 type Work @default.
- W4328006306 citedByCount "0" @default.
- W4328006306 crossrefType "proceedings-article" @default.
- W4328006306 hasAuthorship W4328006306A5005801799 @default.
- W4328006306 hasAuthorship W4328006306A5013173652 @default.
- W4328006306 hasAuthorship W4328006306A5018742393 @default.
- W4328006306 hasConcept C10138342 @default.
- W4328006306 hasConcept C11413529 @default.
- W4328006306 hasConcept C120314980 @default.
- W4328006306 hasConcept C137836250 @default.
- W4328006306 hasConcept C162324750 @default.
- W4328006306 hasConcept C177264268 @default.
- W4328006306 hasConcept C198082294 @default.
- W4328006306 hasConcept C199360897 @default.
- W4328006306 hasConcept C202444582 @default.
- W4328006306 hasConcept C2777303404 @default.
- W4328006306 hasConcept C33676613 @default.
- W4328006306 hasConcept C33923547 @default.
- W4328006306 hasConcept C41008148 @default.
- W4328006306 hasConcept C50522688 @default.
- W4328006306 hasConcept C79403827 @default.
- W4328006306 hasConceptScore W4328006306C10138342 @default.
- W4328006306 hasConceptScore W4328006306C11413529 @default.
- W4328006306 hasConceptScore W4328006306C120314980 @default.
- W4328006306 hasConceptScore W4328006306C137836250 @default.
- W4328006306 hasConceptScore W4328006306C162324750 @default.
- W4328006306 hasConceptScore W4328006306C177264268 @default.
- W4328006306 hasConceptScore W4328006306C198082294 @default.
- W4328006306 hasConceptScore W4328006306C199360897 @default.
- W4328006306 hasConceptScore W4328006306C202444582 @default.
- W4328006306 hasConceptScore W4328006306C2777303404 @default.
- W4328006306 hasConceptScore W4328006306C33676613 @default.
- W4328006306 hasConceptScore W4328006306C33923547 @default.
- W4328006306 hasConceptScore W4328006306C41008148 @default.
- W4328006306 hasConceptScore W4328006306C50522688 @default.
- W4328006306 hasConceptScore W4328006306C79403827 @default.
- W4328006306 hasLocation W43280063061 @default.
- W4328006306 hasOpenAccess W4328006306 @default.
- W4328006306 hasPrimaryLocation W43280063061 @default.
- W4328006306 hasRelatedWork W1485627940 @default.
- W4328006306 hasRelatedWork W1587227328 @default.
- W4328006306 hasRelatedWork W1596201972 @default.
- W4328006306 hasRelatedWork W1880774266 @default.
- W4328006306 hasRelatedWork W1967954938 @default.
- W4328006306 hasRelatedWork W2028061998 @default.
- W4328006306 hasRelatedWork W2043789664 @default.
- W4328006306 hasRelatedWork W2152433827 @default.
- W4328006306 hasRelatedWork W2160425906 @default.
- W4328006306 hasRelatedWork W2998813341 @default.
- W4328006306 isParatext "false" @default.
- W4328006306 isRetracted "false" @default.
- W4328006306 workType "article" @default.