Learning Based Resource Allocation

Learning-based resource allocation optimizes the distribution of limited resources (e.g., bandwidth, computing power) across competing demands, aiming to maximize overall system efficiency and performance. Current research heavily utilizes deep reinforcement learning (DRL), often incorporating graph neural networks (GNNs) to model complex dependencies between resources and users, and employing algorithms like soft actor-critic (SAC) or variations of Q-learning. This approach is proving valuable in diverse applications, from optimizing communication networks (e.g., 5G, IoV) and cloud computing to improving control allocation in aerospace systems, demonstrating significant improvements over traditional methods.

Papers

July 9, 2024

Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications
Maoxin Ji, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief
Graph Neural Network Vehicle 2 Vehicle Vehicle to Infrastructure V2X Communication Learning Based Resource Allocation Vehicle to Everything C V2x

June 17, 2024

Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks
Kangwei Qi, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief
Resource Allocation Reconfigurable Intelligent Surface Vehicle 2 Vehicle Vehicle to Infrastructure Learning Based Resource Allocation Payload Transmission Probability Model

November 8, 2023

May 10, 2023

Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network
Lin Wang, Jiasheng Wu, Yue Gao, Jingjing Zhang
Cloud Native Learning Based Resource Allocation

April 10, 2023

RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments
Drew Penney, Bin Li, Lizhong Chen, Jaroslaw J. Sydir, Anna Drewek-Ossowicka, Ramesh Illikkal, Charlie Tai, Ravi Iyer, Andrew Herdrich
Resource Allocation Learning Based Resource Allocation Cloud Workload Resource Contention Public Cloud

February 15, 2023

Learning Hierarchical Resource Allocation and Multi-agent Coordination of 5G mobile IAB Nodes
Mohamed Sana, Benoit Miscopein
Multi Agent Coordination Backhaul Network Wireless Node Learning Based Resource Allocation

November 14, 2022

Reinforcement Learning Based Resource Allocation for Network Slices in O-RAN Midhaul
Nien Fang Cheng, Turgay Pamuklu, Melike Erol-Kantarci
Resource Allocation Network Slicing Network Simulation RAN Architecture Network Slice Learning Based Resource Allocation

July 21, 2022

On the Implementation of a Reinforcement Learning-based Capacity Sharing Algorithm in O-RAN
Irene Vilà, Oriol Sallent, Jordi Pérez-Romero
Practical Implementation Positive Reinforcement Radio Access Network Learning Based Resource Allocation

June 7, 2022

MIX-MAB: Reinforcement Learning-based Resource Allocation Algorithm for LoRaWAN
Farzad Azizi, Benyamin Teymuri, Rojin Aslani, Mehdi Rasti, Jesse Tolvanen, Pedro H. J. Nardelli
Reinforcement Learning Multi Armed Bandit Resource Allocation Learning Based Resource Allocation Network Intelligence

May 27, 2022

Deep Reinforcement Learning for Distributed and Uncoordinated Cognitive Radios Resource Allocation
Ankita Tondwalkar, Andres Kwasinski
Deep Reinforcement Learning Q Learning Resource Allocation Single Agent Reinforcement Learning Clean Distribution Cognitive Radio Learning Based Resource Allocation

January 17, 2022

Nonlinear Control Allocation: A Learning Based Approach
Hafiz Zeeshan Iqbal Khan, Surrayya Mobeen, Jahanzeb Rajput, Jamshed Riaz
Learning Based Approach Learning Based Resource Allocation Control Allocation

Learning Based Resource Allocation

Papers

Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications

Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks

Zeroth-order Asynchronous Learning with Bounded Delays with a Use-case in Resource Allocation in Communication Networks

A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands

Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network

RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments

Learning Hierarchical Resource Allocation and Multi-agent Coordination of 5G mobile IAB Nodes

Reinforcement Learning Based Resource Allocation for Network Slices in O-RAN Midhaul

On the Implementation of a Reinforcement Learning-based Capacity Sharing Algorithm in O-RAN

MIX-MAB: Reinforcement Learning-based Resource Allocation Algorithm for LoRaWAN

Deep Reinforcement Learning for Distributed and Uncoordinated Cognitive Radios Resource Allocation

Nonlinear Control Allocation: A Learning Based Approach