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20122023
most citedeMBB-URLLC Resource Slicing: A Risk-Sensitive Approach

232 citations · 367 across the 10 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.IR2018

Deep Autoencoder for Recommender Systems: Parameter Influence Analysis

Dai Hoang Tran, Zawar Hussain, Wei Emma Zhang +3

Recommender systems have recently attracted many researchers in the deep learning community. The state-of-the-art deep neural network models used in recommender systems are typical…

cs.NI2018

Ruin Theory for Dynamic Spectrum Allocation in LTE-U Networks

Aunas Manzoor, Nguyen H. Tran, Walid Saad +3

LTE in the unlicensed band (LTE-U) is a promising solution to overcome the scarcity of the wireless spectrum. However, to reap the benefits of LTE-U, it is essential to maintain it…

cs.NI2018

Deep Learning Based Caching for Self-Driving Car in Multi-access Edge Computing

Anselme Ndikumana, Nguyen H. Tran, Choong Seon Hong

Once self-driving car becomes a reality and passengers are no longer worry about it, they will need to find new ways of entertainment. However, retrieving entertainment contents at…

cs.NI2018

Joint Communication, Computation, Caching, and Control in Big Data Multi-access Edge Computing

Anselme Ndikumana, Nguyen H. Tran, Tai Manh Ho +4

The concept of multi-access edge computing (MEC) has been recently introduced to supplement cloud computing by deploying MEC servers to the network edge so as to reduce the network…

cs.NI2018

Decentralized Computation Offloading and Resource Allocation in Heterogeneous Networks with Mobile Edge Computing

Quoc-Viet Pham, Tuan LeAnh, Nguyen H. Tran +1

We consider a heterogeneous network with mobile edge computing, where a user can offload its computation to one among multiple servers. In particular, we minimize the system-wide c…