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

November 28, 2022

Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing
Hao Zhou, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Dong Wang
Machine Learning Resource Allocation Treatment Assignment Heterogeneous Causal

November 16, 2022

Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality
Xinyu Zhou, Chang Liu, Jun Zhao
Resource Allocation Augmented Reality Convergence Analysis Ubiquitous Semantic Metaverse Non Convex Optimization Problem

November 15, 2022

Deep Reinforcement Learning for Combined Coverage and Resource Allocation in UAV-aided RAN-slicing
Lorenzo Bellone, Boris Galkin, Emiliano Traversi, Enrico Natalizio
Deep Reinforcement Learning Unmanned Aerial Vehicle Resource Allocation Higher Coverage Rate Network Slicing

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 Network Slice RAN Architecture Learning Based Resource Allocation

November 10, 2022

Multi-Scenario Bimetric-Balanced IoT Resource Allocation: An Evolutionary Approach
Jiashu Wu, Hao Dai, Yang Wang, Zhiying Tu
Resource Allocation Resource Constrained Resource Constraint Evolutionary Approach Grey Wolf Wang Landau Algorithm

November 6, 2022

Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning
Yanqiu Wu, Qingyang Li, Zhiwei Qin
Markov Decision Process Resource Allocation Spatio Temporal Learning Offline Deep Reinforcement Learning Ride Hailing Service

November 1, 2022

Multi-Resource Allocation for On-Device Distributed Federated Learning Systems
Yulan Gao, Ziqiang Ye, Han Yu, Zehui Xiong, Yue Xiao, Dusit Niyato
Federated Learning Resource Allocation Optimization Problem Device Use Case Convex Problem

October 26, 2022

Network Aware Compute and Memory Allocation in Optically Composable Data Centres with Deep Reinforcement Learning and Graph Neural Networks
Zacharaya Shabka, Georgios Zervas
Graph Neural Network Deep Reinforcement Learning Network Programming Resource Allocation Data Center Memory Management Data Center Network

October 12, 2022

BORA: Bayesian Optimization for Resource Allocation
Antonio Candelieri, Andrea Ponti, Francesco Archetti
Bayesian Optimization Resource Allocation Bandit Feedback Allocation Mechanism

October 11, 2022

Stochastic Direct Search Method for Blind Resource Allocation
Juliette Achddou (PSL, DI-ENS), Olivier Cappe (CNRS, DI-ENS, PSL), Aurélien Garivier (UMPA-ENSL, CNRS)
Resource Allocation Constrained Optimization Regret Analysis Cumulative Regret Programmatic Strategy Stochastic Search Free Regret

September 29, 2022

Joint Optimization of Energy Consumption and Completion Time in Federated Learning
Xinyu Zhou, Jun Zhao, Huimei Han, Claude Guet
Resource Allocation Optimization Problem Energy Consumption Joint Optimization Non Convex Optimization Problem Bandwidth Allocation

September 27, 2022

Resource Allocation for Mobile Metaverse with the Internet of Vehicles over 6G Wireless Communications: A Deep Reinforcement Learning Approach
Terence Jie Chua, Wenhan Yu, Jun Zhao
Resource Allocation Augmented Reality Vehicle Plan Ubiquitous Semantic Metaverse Deep Reinforcement Learning Approach G Wireless Virtual World Metaverse Service

September 20, 2022

Synthesis of Cost-Optimal Multi-Agent Systems for Resource Allocation
Nils Timm, Josua Botha
Multi Agent System Resource Allocation Critical Synthesis Allocation Game Max Sat Optimal Cost

September 12, 2022

Resource Allocation to Agents with Restrictions: Maximizing Likelihood with Minimum Compromise
Yohai Trabelsi, Abhijin Adiga, Sarit Kraus, S. S. Ravi
Agent Smith Resource Allocation Bipartite Graph Single Use Restriction

September 6, 2022

Graph-PHPA: Graph-based Proactive Horizontal Pod Autoscaling for Microservices using LSTM-GNN
Hoa X. Nguyen, Shaoshu Zhu, Mingming Liu
Resource Allocation Graph Convolutional Network Microservice Architecture Cloud Native Auto Scaling

August 17, 2022

August 11, 2022

Enabling Long-term Fairness in Dynamic Resource Allocation
T. Si-Salem, G. Iosifidis, G. Neglia
Resource Allocation Fairness Objective Long Term Fairness Term Fairness

August 10, 2022

Resource Allocation

Papers

Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing

Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality

Deep Reinforcement Learning for Combined Coverage and Resource Allocation in UAV-aided RAN-slicing

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

Multi-Scenario Bimetric-Balanced IoT Resource Allocation: An Evolutionary Approach

Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning

Multi-Resource Allocation for On-Device Distributed Federated Learning Systems

Network Aware Compute and Memory Allocation in Optically Composable Data Centres with Deep Reinforcement Learning and Graph Neural Networks

BORA: Bayesian Optimization for Resource Allocation

Stochastic Direct Search Method for Blind Resource Allocation

Joint Optimization of Energy Consumption and Completion Time in Federated Learning

Resource Allocation for Mobile Metaverse with the Internet of Vehicles over 6G Wireless Communications: A Deep Reinforcement Learning Approach

Synthesis of Cost-Optimal Multi-Agent Systems for Resource Allocation

Resource Allocation to Agents with Restrictions: Maximizing Likelihood with Minimum Compromise

Graph-PHPA: Graph-based Proactive Horizontal Pod Autoscaling for Microservices using LSTM-GNN

Autonomous Resource Management in Construction Companies Using Deep Reinforcement Learning Based on IoT

Artificial Intelligence Empowered Multiple Access for Ultra Reliable and Low Latency THz Wireless Networks

Enabling Long-term Fairness in Dynamic Resource Allocation

Attention-aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services

A Novel Resource Allocation for Anti-jamming in Cognitive-UAVs: an Active Inference Approach