Flexible DRX Optimization for LTE and 5G

Author:

Moradi FarnazORCID,Fitzgerald EmmaORCID,Pioro MichalORCID,Landfeldt BjornORCID

Funder

Excellence Center at Linkping-Lund in Information Technology

National Science Centre, Poland

CELTIC-NEXT Project 5G PERFECTA

Swedish Foundation for Strategic Research project SEC4FACTORY

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. C-DRX parameters optimization using Multi-Agent Reinforcement Learning with Self-attention;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

2. System-Level Analysis of Energy and Performance Trade-Offs in mmWave 5G NR Systems;IEEE Transactions on Wireless Communications;2023-11

3. On using Deep Reinforcement Learning to balance Power Consumption and Latency in 5G NR;ICC 2023 - IEEE International Conference on Communications;2023-05-28

4. A Survey on DRX Mechanism: Device Power Saving From LTE and 5G New Radio to 6G Communication Systems;IEEE Communications Surveys & Tutorials;2023

5. Internet of wearable things: Advancements and benefits from 6G technologies;Future Generation Computer Systems;2023-01

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