Joint Device Scheduling and Resource Allocation for ISCC-Based Multiview-Multitask Inference

This article investigates an integrated sensing-communication-computation (ISCC)-based multiview-multitask (MVMT) edge artificial intelligence inference system. Each device senses a narrow view of a target area and processes the echo signal to generate real-time sensory data. An edge server receives...

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Vydáno v:	IEEE internet of things journal Ročník 11; číslo 24; s. 40814 - 40830
Hlavní autoři:	Wang, Diao, Wen, Dingzhu, He, Yinghui, Chen, Qimei, Zhu, Guangxu, Yu, Guanding
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 15.12.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Accuracy Algorithms Artificial intelligence Communication Computational modeling Device scheduling edge artificial intelligence (AI) inference Edge computing Feature extraction Human motion Human performance Inference integrated sensing-communication-computation (ISCC) Mixed integer Motion perception multitask optimization Optimization Real time Recognition Resource allocation Resource management Resource scheduling Scheduling Sensors Servers Smart buildings Sorting algorithms Task complexity Task scheduling
ISSN:	2327-4662, 2327-4662
On-line přístup:	Získat plný text
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