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20182026
most citedPath Planning for UAV-Mounted Mobile Edge Computing with Deep Reinforcement Learning

9 citations · 16 across the 12 of their papers we have counts for

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cs.IT2024

Deep Transfer Learning-based Detection for Flash Memory Channels

Zhen Mei, Kui Cai, Long Shi +3

The NAND flash memory channel is corrupted by different types of noises, such as the data retention noise and the wear-out noise, which lead to unknown channel offset and make the…

cs.IT2024

Quantization Design for Resistive Memories With Multiple Reads

Zhen Mei, Kui Cai, Long Shi +1

Due to the crossbar array architecture, the sneak-path problem severely degrades the data integrity in the resistive random access memory (ReRAM). In this letter, we investigate th…

cs.IT20201 cited

DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length

Cheng Wang, Kang Wei, Lingjun Kong +4

The error correcting performance of multi-level-cell (MLC) NAND flash memory is closely related to the block length of error correcting codes (ECCs) and log-likelihood-ratios (LLRs…

cs.IT20209 cited

Path Planning for UAV-Mounted Mobile Edge Computing with Deep Reinforcement Learning

Q. Liu, L. Shi, L. Sun +3

In this letter, we study an unmanned aerial vehicle (UAV)-mounted mobile edge computing network, where the UAV executes computational tasks offloaded from mobile terminal users (TU…

cs.IT20201 cited

Coded Caching with Polynomial Subpacketization

Wentu Song, Kui Cai, Long Shi

Consider a centralized caching network with a single server and users. The server has a database of files with each file being divided into packets ( is known as sub…

cs.IT2019

User Association and Path Planning for UAV-Aided Mobile Edge Computing with Energy Restriction

Yuwen Qian, Feifei Wang, Jun Li +3

Mobile edge computing (MEC) provides computational services at the edge of networks by offloading tasks from user equipments (UEs). This letter employs an unmanned aerial vehicle (…