452 citations · 818 across the 40 of their papers we have counts for
4 papers · 1 filter
Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach
Navid Naderializadeh, Morteza Hashemi
We investigate the problem of computation offloading in a mobile edge computing architecture, where multiple energy-constrained users compete to offload their computational tasks t…
Learning to Code: Coded Caching via Deep Reinforcement Learning
Navid Naderializadeh, Seyed Mohammad Asghari
We consider a system comprising a file library and a network with a server and multiple users equipped with cache memories. The system operates in two phases: a prefetching phase,…
When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework
Navid Naderializadeh, Jaroslaw Sydir, Meryem Simsek +2
Interference among concurrent transmissions in a wireless network is a key factor limiting the system performance. One way to alleviate this problem is to manage the radio resource…
Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems
Peihao Dong, Hua Zhang, Geoffrey Ye Li +2
For millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, hybrid processing architecture is usually used to reduce the complexity and cost, which poses a…