activity
20182022
most citedPath Planning for UAV-Mounted Mobile Edge Computing with Deep Reinforcement Learning

9 citations · 12 across the 7 of their papers we have counts for

collaborators

11 papers

cs.CR2021

Pooling is not Favorable: Decentralize Mining Power of PoW Blockchain Using Age-of-Work

Long Shi, Taotao Wang, Jun Li +1

In Proof-of-Work (PoW) blockchains, the average waiting time to generate a block is inversely proportional to the computing power of the miner. To reduce the average block generati…

cs.LG2021

Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation

Jun Li, Yumeng Shao, Kang Wei +5

Federated learning (FL), as a distributed machine learning paradigm, promotes personal privacy by local data processing at each client. However, relying on a centralized server for…

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…

eess.SP2020

Probabilistic Caching for Small-Cell Networks with Terrestrial and Aerial Users

Fei Song, Jun Li, Ming Ding +5

The support for aerial users has become the focus of recent 3GPP standardizations of 5G, due to their high maneuverability and flexibility for on-demand deployment. In this paper,…

eess.SP2020

Dynamic Virtual Resource Allocation for 5G and Beyond Network Slicing

Fei Song, Jun Li, Chuan Ma +3

The fifth generation and beyond wireless communication will support vastly heterogeneous services and use demands such as massive connection, low latency and high transmission rate…

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…