ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.13032
  4. Cited By
A Deep Q-Learning Method for Downlink Power Allocation in Multi-Cell
  Networks

A Deep Q-Learning Method for Downlink Power Allocation in Multi-Cell Networks

30 April 2019
K. I. Ahmed
Ekram Hossain
    OffRL
ArXivPDFHTML

Papers citing "A Deep Q-Learning Method for Downlink Power Allocation in Multi-Cell Networks"

6 / 6 papers shown
Title
Generalization of Deep Reinforcement Learning for Jammer-Resilient
  Frequency and Power Allocation
Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation
Swatantra Kafle
Jithin Jagannath
Zackary Kane
Noor Biswas
P. Kumar
Anu Jagannath
23
1
0
04 Feb 2023
Deep reinforcement learning for automatic run-time adaptation of UWB PHY
  radio settings
Deep reinforcement learning for automatic run-time adaptation of UWB PHY radio settings
Dieter Coppens
A. Shahid
E. De Poorter
AI4CE
21
1
0
13 Oct 2022
Reinforcement Learning for Intelligent Healthcare Systems: A
  Comprehensive Survey
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
A. Abdellatif
N. Mhaisen
Z. Chkirbene
Amr M. Mohamed
A. Erbad
Mohsen Guizani
OffRL
AI4TS
20
21
0
05 Aug 2021
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled
  Wireless Networks: A Tutorial
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Amal Feriani
Ekram Hossain
37
237
0
06 Nov 2020
Resource Management in Wireless Networks via Multi-Agent Deep
  Reinforcement Learning
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning
Navid Naderializadeh
J. Sydir
M. Simsek
Hosein Nikopour
26
121
0
14 Feb 2020
When Multiple Agents Learn to Schedule: A Distributed Radio Resource
  Management Framework
When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework
Navid Naderializadeh
J. Sydir
M. Simsek
Hosein Nikopour
S. Talwar
13
9
0
20 Jun 2019
1