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

May 20, 2022

Random Coordinate Descent for Resource Allocation in Open Multi-Agent Systems
Charles Monnoyer de Galland, Renato Vizuete, Julien M. Hendrickx, Elena Panteley, Paolo Frasca
Resource Allocation Optimal Solution Open Multi Agent System

April 28, 2022

Actor-Critic Scheduling for Path-Aware Air-to-Ground Multipath Multimedia Delivery
Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Claudio Gennaro, Giuseppe Amato
Reinforcement Learning Resource Allocation Actor Critic Algorithm Video Streaming Channel Model

April 14, 2022

On Scheduling Mechanisms Beyond the Worst Case
Yansong Gao, Jie Zhang
Resource Allocation Functional Mechanism Worst Case Mechanism Design Scheduling Method

April 13, 2022

Agent-based Constraint Solving for Resource Allocation in Manycore Systems
Volker Wenzel, Lars Bauer, Wolfgang Schröder-Preikschat, Jörg Henkel
Resource Allocation Local Search Heterogeneous Computing Resource Constraint Constraint Solving Distributed Constraint Optimization Problem

April 9, 2022

MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio
Jithin Jagannath, Kian Hamedani, Collin Farquhar, Keyvan Ramezanpour, Anu Jagannath
Deep Reinforcement Learning New Framework Resource Allocation Embedded System Power Control Edge Deployment MR iNet Gym Time Division Multiple Access

April 5, 2022

Multi-Agent Distributed Reinforcement Learning for Making Decentralized Offloading Decisions
Jing Tan, Ramin Khalili, Holger Karl, Artur Hecker
Autonomous Agent Resource Allocation Multi Agent Learning Task Offloading Computation Offloading Decentralized Agent

March 23, 2022

The state-of-the-art review on resource allocation problem using artificial intelligence methods on various computing paradigms
Javad Hassannataj Joloudari, Sanaz Mojrian, Hamid Saadatfar, Issa Nodehi, Fatemeh Fazl, Sahar Khanjani shirkharkolaie, Roohallah Alizadehsani, H M Dipu Kabir, Ru-San Tan, U Rajendra Acharya
Resource Allocation Artificial Intelligence Method Computing Paradigm Vehicular Fog Computing

March 8, 2022

Graph Reinforcement Learning for Radio Resource Allocation
Jianyu Zhao, Chenyang Yang
Deep Reinforcement Learning Resource Allocation Deep Deterministic Policy Gradient Graph Reinforcement Learning

February 28, 2022

Hierarchical Multi-Agent DRL-Based Framework for Joint Multi-RAT Assignment and Dynamic Resource Allocation in Next-Generation HetNets
Abdulmalik Alwarafy, Bekir Sait Ciftler, Mohamed Abdallah, Mounir Hamdi, Naofal Al-Dhahir
New Framework Multi Agent Resource Allocation Hierarchical Agent Heterogeneous Wireless Network Radio Access Technology

February 25, 2022

Inter-Cell Slicing Resource Partitioning via Coordinated Multi-Agent Deep Reinforcement Learning
Tianlun Hu, Qi Liao, Qiang Liu, Dan Wellington, Georg Carle
Resource Allocation Multi Agent Deep Reinforcement Learning Network Slicing

February 21, 2022

Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks
Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani
Multi Agent Reinforcement Learning Resource Allocation Network Selection Radio Access Technology

February 18, 2022

Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning
Zhilin Wang, Qin Hu, Ruinian Li, Minghui Xu, Zehui Xiong
Federated Learning Resource Allocation Blockchain Network Incentive Mechanism Capital Allocation Incentive Mechanism Design

February 9, 2022

Online Learning to Transport via the Minimal Selection Principle
Wenxuan Guo, YoonHaeng Hur, Tengyuan Liang, Christopher Ryan
Optimal Transport Online Learning Resource Allocation Transportation System Wasserstein Gradient Flow Order Optimal Regret Minimal Selection Principle

February 6, 2022

Energy-Aware Edge Association for Cluster-based Personalized Federated Learning
Y. Li, X. Qin, H. Chen, K. Han, P. Zhang
Resource Allocation Personalized Federated Learning Edge Network Ubiquitous Intelligence Edge Association

February 3, 2022

January 29, 2022

Transport Capacity Optimization for Resource Allocation in Tera-IoT Networks
Cheol Jeong, Chang-Jae Chun, Won-Yong Shin, Il-Min Kim
Resource Allocation THz Image Capacity Optimization

January 25, 2022

Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery
Aida Rahmattalabi, Phebe Vayanos, Kathryn Dullerud, Eric Rice
Application Proficiency Causal Inference Resource Allocation Mixed Integer Fairness Constraint Observational Data Interpretable Policy

January 19, 2022

PROMPT: Learning Dynamic Resource Allocation Policies for Network Applications
Drew Penney, Bin Li, Jaroslaw Sydir, Lizhong Chen, Charlie Tai, Stefan Lee, Eoin Walsh, Thomas Long
Resource Allocation Style PROMPT Computer Network Quality of Service Prediction Workload Aware Latency Critical

January 12, 2022

Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network
Gan Ruan, Leandro L. Minku, Zhao Xu, Xin Yao
Evolutionary Algorithm Resource Allocation Evolutionary Optimization Open Radio Access Network ProActive Behavior Meta Heuristic

Resource Allocation

Papers

Random Coordinate Descent for Resource Allocation in Open Multi-Agent Systems

Actor-Critic Scheduling for Path-Aware Air-to-Ground Multipath Multimedia Delivery

On Scheduling Mechanisms Beyond the Worst Case

Agent-based Constraint Solving for Resource Allocation in Manycore Systems

MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio

Multi-Agent Distributed Reinforcement Learning for Making Decentralized Offloading Decisions

The state-of-the-art review on resource allocation problem using artificial intelligence methods on various computing paradigms

Graph Reinforcement Learning for Radio Resource Allocation

Hierarchical Multi-Agent DRL-Based Framework for Joint Multi-RAT Assignment and Dynamic Resource Allocation in Next-Generation HetNets

Inter-Cell Slicing Resource Partitioning via Coordinated Multi-Agent Deep Reinforcement Learning

Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks

Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning

Online Learning to Transport via the Minimal Selection Principle

Energy-Aware Edge Association for Cluster-based Personalized Federated Learning

Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding

Network Resource Allocation Strategy Based on Deep Reinforcement Learning

Transport Capacity Optimization for Resource Allocation in Tera-IoT Networks

Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery

PROMPT: Learning Dynamic Resource Allocation Policies for Network Applications

Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network