Dynamic Aerial Base Station Placement for Minimum-Delay Communications

Queuing delay is of essential importance in the Internet-of-Things scenarios where the buffer sizes of devices are limited. The existing cross-layer research contributions aiming at minimizing the queuing delay usually rely on either transmit power control or dynamic spectrum allocation. Bearing in...

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Veröffentlicht in:	IEEE internet of things journal Jg. 8; H. 3; S. 1623 - 1635
Hauptverfasser:	Bai, Tong, Pan, Cunhua, Wang, Jingjing, Deng, Yansha, Elkashlan, Maged, Nallanathan, Arumugam, Hanzo, Lajos
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.02.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Base stations Buffers Delay Delay optimal Delays dynamic programming Heuristic algorithms Internet of Things Markov decision process (MDP) Placement Power control reinforcement learning Resource management Spectrum allocation Statistical analysis Throughput unmanned aerial vehicle (UAV) Unmanned aerial vehicles Vehicle dynamics Wireless communication
ISSN:	2327-4662, 2327-4662
Online-Zugang:	Volltext
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