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

September 15, 2023

Quadcopter Trajectory Time Minimization and Robust Collision Avoidance via Optimal Time Allocation
Zhefan Xu, Kenji Shimada
Collision Avoidance Collision Free Resource Allocation Efficient Trajectory Robust Obstacle Avoidance

September 14, 2023

Asynchronous Spatial-Temporal Allocation for Trajectory Planning of Heterogeneous Multi-Agent Systems
Yuda Chen, Haoze Dong, Zhongkui Li
Collision Avoidance Resource Allocation Trajectory Planning Heterogeneous Multi Agent Heterogeneous Swarm Asynchronous Communication

September 4, 2023

Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning
Michail Kalntis, George Iosifidis, Fernando A. Kuipers
Online Learning Resource Allocation Online Learning Algorithm Worst Case User Throughput Open Radio Access Network Base Station Optimality Gap Adversarial Traffic

August 17, 2023

Optimal Resource Allocation for U-Shaped Parallel Split Learning
Song Lyu, Zheng Lin, Guanqiao Qu, Xianhao Chen, Xiaoxia Huang, Pan Li
Resource Allocation Split Learning U Shaped Network Parallel Split Learning

August 15, 2023

Vision-based Semantic Communications for Metaverse Services: A Contest Theoretic Approach
Guangyuan Liu, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Boon Hee Soong
Resource Allocation Semantic Communication Ubiquitous Semantic Metaverse Competition Result Metaverse Service

August 9, 2023

Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation
Mai Le, Dinh Thai Hoang, Diep N. Nguyen, Won-Joo Hwang, Quoc-Viet Pham
Federated Learning Resource Allocation Model Training Human Sensing Power Allocation Non Orthogonal Multiple Access Mobile Crowdsensing Joint Power

August 4, 2023

Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity
Xuefeng Han, Jun Li, Wen Chen, Zhen Mei, Kang Wei, Ming Ding, H. Vincent Poor
General Analysis Federated Learning Optimization Purpose Resource Allocation Data Heterogeneity Heterogeneous Data Loss Minimization

July 24, 2023

Learning Resource Allocation Policy: Vertex-GNN or Edge-GNN?
Yao Peng, Jia Guo, Chenyang Yang
Graph Neural Network Resource Allocation Hidden Representation Channel Covariance Matrix

July 19, 2023

July 18, 2023

Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning
Kecheng Fan, Wen Chen, Jun Li, Xiumei Deng, Xuefeng Han, Ming Ding
Federated Learning Resource Allocation Task Scheduling Mobility Management Mobile User Communication Constraint Mobility Aware

July 8, 2023

Personalized Resource Allocation in Wireless Networks: An AI-Enabled and Big Data-Driven Multi-Objective Optimization
Rawan Alkurd, Ibrahim Abualhaol, Halim Yanikomeroglu
Artificial Intelligence Resource Allocation Multi Objective Optimization Wireless Network Big Data Scalable Personalization Personalized sUBgraph

July 6, 2023

ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation
Abhijeet Pendyala, Justin Dettmer, Tobias Glasmachers, Asma Atamna
Reinforcement Learning Resource Allocation Reinforcement Learning Benchmark Deep Reinforcement Learning Algorithm

June 6, 2023

Fast Context Adaptation in Cost-Aware Continual Learning
Seyyidahmed Lahmer, Federico Mason, Federico Chiariotti, Andrea Zanella
Resource Allocation Complex Network Resource Optimization Contextual Adapter Frugal Learning Dynamic Strategy

May 31, 2023

May 24, 2023

Online Optimization for Randomized Network Resource Allocation with Long-Term Constraints
Ahmed Sid-Ali, Ioannis Lambadaris, Yiqiang Q. Zhao, Gennady Shaikhet, Shima Kheradmand
Resource Allocation Online Optimization Saddle Point Online Resource Allocation Unknown Network Long Term Constraint

May 18, 2023

Online Resource Allocation in Episodic Markov Decision Processes
Duksang Lee, William Overman, Dabeen Lee
Markov Decision Process Resource Allocation Optimal Regret Episodic Markov Decision Process Stochastic Reward Online Resource Allocation

May 14, 2023

Graph Neural Networks-Based User Pairing in Wireless Communication Systems
Sharan Mourya, Pavan Reddy, SaiDhiraj Amuru, Kiran Kumar Kuchi
Deep Neural Network Resource Allocation Graph Neural Wireless Communication Orthogonal Multiple Access User Pairing

April 25, 2023

A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation
Steffen Gracla, Carsten Bockelmann, Armin Dekorsy
Multi Task Learning Multi Task Resource Allocation Actor Critic Algorithm Robust Deep Reinforcement Learning Gradient Episodic Memory

Resource Allocation

Papers

Quadcopter Trajectory Time Minimization and Robust Collision Avoidance via Optimal Time Allocation

Asynchronous Spatial-Temporal Allocation for Trajectory Planning of Heterogeneous Multi-Agent Systems

Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning

Optimal Resource Allocation for U-Shaped Parallel Split Learning

Vision-based Semantic Communications for Metaverse Services: A Contest Theoretic Approach

Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation

Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity

Learning Resource Allocation Policy: Vertex-GNN or Edge-GNN?

Priority-based DREAM Approach for Highly Manoeuvring Intruders in A Perimeter Defense Problem

Joint Service Caching, Communication and Computing Resource Allocation in Collaborative MEC Systems: A DRL-based Two-timescale Approach

Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning

Personalized Resource Allocation in Wireless Networks: An AI-Enabled and Big Data-Driven Multi-Objective Optimization

ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation

Fast Context Adaptation in Cost-Aware Continual Learning

Power Control with QoS Guarantees: A Differentiable Projection-based Unsupervised Learning Framework

An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and Heterogeneity

Online Optimization for Randomized Network Resource Allocation with Long-Term Constraints

Online Resource Allocation in Episodic Markov Decision Processes

Graph Neural Networks-Based User Pairing in Wireless Communication Systems

A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation