Resource Allocation

Resource allocation research focuses on optimizing the distribution of limited resources—computational power, bandwidth, energy—to maximize efficiency and fairness across diverse applications. Current research emphasizes developing sophisticated algorithms, including deep reinforcement learning, graph neural networks, and dynamic programming, to address complex, real-time resource allocation problems in areas like federated learning, edge computing, and wireless networks. These advancements are crucial for improving the performance and scalability of various systems, from mobile communications to large-scale AI training, and for ensuring equitable access to resources.

Papers

December 14, 2023

iOn-Profiler: intelligent Online multi-objective VNF Profiling with Reinforcement Learning
Xenofon Vasilakos, Shadi Moazzeni, Anderson Bravalheri, Pratchaya Jaisudthi, Reza Nejabati, Dimitra Simeonidou
Reinforcement Learning Resource Allocation Network Function

December 13, 2023

Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks
Xin Hao, Phee Lep Yeoh, Changyang She, Branka Vucetic, Yonghui Li
Resource Allocation Mobile Edge Computing Blockchain System

December 7, 2023

Resource Allocation for Semantic Communication under Physical-layer Security
Yang Li, Xinyu Zhou, Jun Zhao
Resource Allocation Semantic Communication Joint Optimization Semantic Communication System Physical Layer Secrecy Rate

December 2, 2023

Adaptive Resource Allocation for Semantic Communication Networks
Lingyi Wang, Wei Wu, Fuhui Zhou, Zhaohui Yang, Zhijin Qin
Resource Allocation Semantic Communication Semantic Communication Network

November 30, 2023

The Stochastic Dynamic Post-Disaster Inventory Allocation Problem with Trucks and UAVs
Robert van Steenbergen, Wouter van Heeswijk, Martijn Mes
Resource Allocation Various Fast Moving Drone Tractor Trailer Vehicle Humanitarian Response

November 28, 2023

Optimization Theory Based Deep Reinforcement Learning for Resource Allocation in Ultra-Reliable Wireless Networked Control Systems
Hamida Qumber Ali, Amirhassan Babazadeh Darabi, Sinem Coleri
Deep Reinforcement Learning Resource Allocation Joint Optimization Wireless Networked Control System

November 26, 2023

A Quick Response Algorithm for Dynamic Autonomous Mobile Robot Routing Problem with Time Windows
Lulu Cheng, Ning Zhao, Mengge Yuan, Kan Wu
Resource Allocation Autonomous Robot Dynamic Routing Autonomous Mobile Robot Fast Algorithm Time Window Collaborative Vehicle Routing

November 19, 2023

Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part II: Control-Aware Radio Resource Allocation
Lei Lei, Tong Liu, Kan Zheng, Xuemin, Shen
Reinforcement Learning Deep Reinforcement Learning Resource Allocation Timely Communication Platoon Control Multi Scale Control Control Aware Communication

November 18, 2023

Learning Payment-Free Resource Allocation Mechanisms
Sihan Zeng, Sujay Bhatt, Eleonora Kreacic, Parisa Hassanzadeh, Alec Koppel, Sumitra Ganesh
LeArning Abstract Resource Allocation Mechanism Design Welfare Maximization Revenue Maximization Self Interested Agent

November 16, 2023

Online Optimization for Network Resource Allocation and Comparison with Reinforcement Learning Techniques
Ahmed Sid-Ali, Ioannis Lambadaris, Yiqiang Q. Zhao, Gennady Shaikhet, Amirhossein Asgharnia
Reinforcement Learning Consistent Comparison Resource Allocation Online Algorithm Online Optimization Online Resource Allocation Multi Server

November 12, 2023

Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks
Md Ferdous Pervej, Andreas F Molisch
Resource Allocation Wireless Network Gradient Norm Backhaul Network Coded Caching

November 8, 2023

October 30, 2023

Meta-Learning Strategies through Value Maximization in Neural Networks
Rodrigo Carrasco-Davis, Javier Masís, Andrew M. Saxe
Neural Network Meta Learning Resource Allocation Learning Agent Biological Insight Cognitive Control

October 26, 2023

Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach
Wenhan Yu, Terence Jie Chua, Jun Zhao
Foundation Model Resource Allocation Multi Agent Deep Reinforcement Learning Mobile Edge Computing Co Orchestration AI Foundation Model

October 15, 2023

Federated Reinforcement Learning for Resource Allocation in V2X Networks
Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li
Reinforcement Learning Resource Allocation Federated Reinforcement Learning Cellular V2X V2X Communication Vehicle to Everything

October 6, 2023

Nash Welfare and Facility Location
Alexander Lam, Haris Aziz, Toby Walsh
Resource Allocation Mechanism Design Facility Location Problem Facility Location Strategyproof Mechanism

September 18, 2023

Double Deep Q-Learning-based Path Selection and Service Placement for Latency-Sensitive Beyond 5G Applications
Masoud Shokrnezhad, Tarik Taleb, Patrizio Dazzi
Resource Allocation Global Placement Cloud Resource Double Deep Q Learning Capacity Constraint

September 17, 2023

User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks
Tinghao Zhang, Kwok-Yan Lam, Jun Zhao
Resource Allocation Wireless Network Hierarchical Federated Learning Spectrum Utilization Local Value Based Allocation

September 15, 2023

Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources
Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo
Deep Reinforcement Learning High Efficiency Resource Allocation Resource Constrained Healthcare Facility Fair Allocation

Resource Allocation

Papers

iOn-Profiler: intelligent Online multi-objective VNF Profiling with Reinforcement Learning

Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks

Resource Allocation for Semantic Communication under Physical-layer Security

Adaptive Resource Allocation for Semantic Communication Networks

The Stochastic Dynamic Post-Disaster Inventory Allocation Problem with Trucks and UAVs

Optimization Theory Based Deep Reinforcement Learning for Resource Allocation in Ultra-Reliable Wireless Networked Control Systems

A Quick Response Algorithm for Dynamic Autonomous Mobile Robot Routing Problem with Time Windows

Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part II: Control-Aware Radio Resource Allocation

Learning Payment-Free Resource Allocation Mechanisms

Online Optimization for Network Resource Allocation and Comparison with Reinforcement Learning Techniques

Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks

Asynchronous Message-Passing and Zeroth-Order Optimization Based Distributed Learning with a Use-Case in Resource Allocation in Communication Networks

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

Meta-Learning Strategies through Value Maximization in Neural Networks

Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach

Federated Reinforcement Learning for Resource Allocation in V2X Networks

Nash Welfare and Facility Location

Double Deep Q-Learning-based Path Selection and Service Placement for Latency-Sensitive Beyond 5G Applications

User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks

Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources