Lightweight LSTM-Based Adaptive CQI Feedback Scheme for IoT Devices

As the number of Internet of things (IoT) devices increases exponentially, scheduling and managing the radio resources for IoT devices has become more important. To efficiently allocate radio resources, the base station (BS) needs the channel state information (CSI) of devices every time. Hence, eac...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 23; H. 10; S. 4929
Hauptverfasser:	Han, Noel, Kim, Il-Min, So, Jaewoo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 20.05.2023 MDPI
Schlagworte:	Accuracy Analysis Artificial intelligence channel quality indicator feedback Codes Communication feedback overhead Internet of Things lightweight model long short-term memory Machine learning modulation and coding scheme Neural networks Performance evaluation Wireless telecommunications equipment modulation and coding scheme feedback overhead channel quality indicator feedback lightweight model long short-term memory
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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