Wireless Resource Allocation

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13 papers in the last four weeks, up 117% on the four weeks before. 0.1% of all new papers.

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Bandwidth Allocation with Device Partitioning for Federated Learning over Industrial IoT networks
May 29, 2026Kangmin Kim, Jaeyoung SongEnergy-Efficient ML Internet of Things
School of Electrical and Electronics Engineering, Pusan National University, Busan, 46241, Korea
Jamming-Resilient PRB Reservation for Latency-Critical O-RAN Network Slicing
May 28, 2026Elahe Delavari, Junaid FarooqWireless Communications Open Radio Access Network
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, 48128 USA
CRB-Guided Framework Design and Resource Allocation for Indoor mmWave ISCC Systems
May 28, 2026Zhonghao Liu, Yahao Ding, Yinchao Yang +1Integrated Sensing and Communication Wireless Resource Allocation
∗King’s College London
Gesture-Aware Indoor THz ISAC Systems for Adaptive Resource Allocation
May 28, 2026Zhonghao Liu, Yinchao Yang, Yahao Ding +2Integrated Sensing and Communication Wireless Communications
King’s College London
Privacy-Aware Agent Collaboration for Dynamic VR Slice Management in 6G SD-RAN
May 28, 2026Khaled M. Naguib, Soumaya Cherkaoui, Mahmoud M. Elmesalawy +26G Networks Wireless Communications
Department of Computer and Software Engineering, Polytechnique Montr´eal, Montr´eal, Canada · Electronics and Communications, Helwan Univ. Cairo, Egypt
TWIST: Closed-Loop token Synchronization for Application-Aware Wireless Digital Twins
May 26, 2026Sige Liu, Kezhi WangSemantic Communication Wireless Resource Allocation
Department of Computer Science, Brunel University London, Uxbridge UB8 3PH, U.K.
Mode 0: A New 3GPP V2X Resource Allocation Category for Roadside Computing Unit-Assisted Safety Communication
May 25, 2026Dewei Jiang, Xiang GuV2X Communication Wireless Resource Allocation
Nantong University · School of Information Science and Technology, Nantong University, Nantong, China · School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China
A Token/KV-Cache Communication Media Selection and Resource Allocation Strategy for Multi-Agent Collaboration
May 25, 2026Lipeng Dai, Luping Xiang, Kun YangMulti-Agent LLM Systems Multi-Agent Collaboration
State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, 210008, China · Institute of Intelligent Networks and Communications (NINE), Nanjing University (Suzhou Campus), Suzhou, 215163, China
A Context Augmented Multi-Play Multi-Armed Bandit Algorithm for Fast Channel Allocation in Opportunistic Spectrum Access
May 25, 2026Ruiyu Li, Guangxia Li, Xiao Lu +2Multi-Armed Bandits Robust Multi-Armed Bandits
School of Computer Science and Technology, Xidian University, China · 2Research and Development, Ericsson, Canada · 3Hainayun IoT Technology Ltd, China
Adversarial Water-Filling: Theory, Algorithms, and a Domain-Specific Wireless Foundation Model
May 24, 2026Xindi Tong, Chee Wei Tan, H. Vincent PoorWireless Foundation Models Min-Max Optimization
College of Computing and Data Science (CCDS), Nanyang Technological University, Singapore · Princeton University, United States
DRL-Driven Edge-Aware Utility Optimization for Multi-Slice 6G Networks
May 21, 2026Khaled M. Naguib, Soumaya Cherkaoui, Mahmoud M. Elmessalawy +26G Networks Edge Computing
CCAS Department, School of Engineering, New Giza University (NGU), Cairo, Egypt · Department of Computer and Software Engineering, Polytechnique Montreal, Montreal, QC H3T 1J4, Canada · Department of Electronics and Communications, Faculty of Engineering, Helwan University, Cairo, Egypt
FedCritic: Serverless Federated Critic Learning-based Resource Allocation for Multi-Cell OFDMA in 6G
May 20, 2026Amin Farajzadeh, Melike Erol-KantarciFederated RL 6G Networks
School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada
TONIC: Token-Centric Semantic Communication for Task-Oriented Wireless Systems
May 20, 2026Sige Liu, Kezhi WangSemantic Communication Task-Oriented Semantic Communication
Department of Computer Science, Brunel University London, Uxbridge UB8 3PH, U.K.
MAxLM: Multi-Agent Language Model-Based Scheduling and Resource Allocation in MU-MIMO-OFDMA-Enabled Wireless Networks
May 15, 2026Adnan Quadri, Hongxiang LiWireless Communications Wireless Resource Allocation
Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA
Optimization-as-a-Service via Multi-Agent Large Language Model for Radio Access Networks
May 15, 2026Chaoqun You, Yueyue Dai, Xingqiu He +3Multi-Agent System Optimization Large Language Model-Guided Optimization
Fudan University · Huazhong University of Science and Technology · University of Surrey +1
Analog RF Computing: A New Paradigm for Energy-Efficient Edge AI Over MU-MIMO Systems
May 14, 2026Wentao Yu, Vincent W. S. WongEnergy-Efficient ML Edge Inference
Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networks
May 10, 2026Su Wang, Mung Chiang, H. Vincent PoorEdge Computing Wireless Resource Allocation
Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA · Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA
When Semantic Communication Meets Queueing: Cross-Layer Latency and Task Fidelity Optimization
May 6, 2026Yalin E. Sagduyu, Tugba ErpekSemantic Communication Age of Information
Nexcepta, Gaithersburg, MD, USA
Joint Optimization of Trajectory Control, Resource Allocation, and Task Offloading for Multi-UAV-Assisted IoV
May 6, 2026Maoxin Ji, Qiong Wu, Pingyi Fan +4Trajectory Optimization Intelligent Transportation Systems
School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China · School of Information Engineering, Jiangxi Provincial Key Laboratory of Advanced Signal Processing and Intelligent Communications, Nanchang University, Nanchang 330031, China · Department of Electronic Engineering, State Key laboratory of Space Network and Communications, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China +4
Discover Fast Power Allocation Solution for Multi-Target Tracking via AlphaEvolve Evolution
May 3, 2026Zhenkang Hou, Wenqiang Pu, Junkun Yan +2Large Language Model-Guided Optimization Wireless Resource Allocation
National Laboratory of Radar Signal Processing, Xidian University, Xian, China · Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen, China
Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approach
May 2, 2026Changpeng He, Yang Lu, Wei Chen +3Reconfigurable Intelligent Surfaces Wireless Communications
State Key Laboratory of Advanced Rail Autonomous Operation, and also with the School of Computer Science and Technology, Beijing Jiaotong University, Beijing 100044, China · School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China · School of Electronic Engineering and Computer Science, Queen Mary University of London, London +2
Utility-Aware DRL-Based TXOP Adaptation for NR-U and Wi-Fi Coexistence Networks
May 1, 2026Po-Heng Chou, Yi-Fang Yu, Shou-Yu Chen +1Wireless Communications Wireless Resource Allocation
Research Center for Information Technology Innovation (CITI), Academia Sinica (AS), Taipei 11529, Taiwan · Department of Electrical Engineering, National Taiwan Normal University (NTNU), Taipei 10610 Taiwan
NeuralEmu: in situ Measurement-Driven, ML-based, High-Fidelity 5G Network Emulation
Apr 28, 2026Haoran Wan, Yaxiong Xie, Kyle JamiesonWireless Communications Wireless Resource Allocation
Princeton University · University at Buffalo, SUNY
Lightweight Quantum Agent for Edge Systems: Joint PQC and NOMA Resource Allocation
Apr 28, 2026Yongtao Yao, Wenjing Xiao, Miaojiang Chen +5Edge Computing Wireless Communications
QAROO: AI-Driven Online Task Offloading for Energy-Efficient and Sustainable MEC Networks
Apr 28, 2026Yongtao Yao, Yao Yang, Haorui Shi +3Edge Computing Wireless Resource Allocation
Strategic Bidding in 6G Spectrum Auctions with Large Language Models
Apr 27, 2026Ismail Lotfi, Ali GhrayebMechanism Design Wireless Resource Allocation
College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
Fed-DLoRA: Efficient Wireless Federated Learning with Dynamic Low-Rank Adaptation
Apr 27, 2026Huaicheng Li, Junhui Zhao, Haoyu Quan +1Communication-Efficient Distributed Training Low-Rank Adaptation
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China · School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Memory Centric Power Allocation for Multi-Agent Embodied Question Answering
Apr 20, 2026Chengyang Li, Shuai Wang, Kejiang Ye +5Embodied QA Wireless Resource Allocation
Department of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong · Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China · Southern University of Science and Technology, Shenzhen, China +2
Path-Based Quantum Meta-Learning for Adaptive Optimization of Reconfigurable Intelligent Surfaces
Apr 20, 2026Noha Hassan, Xavier Fernando, Halim YanikomerogluAdaptive Model Routing Reconfigurable Intelligent Surfaces
Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada · Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada
LAGS: Low-Altitude Gaussian Splatting with Groupwise Heterogeneous Graph Learning
Apr 18, 2026Yikun Wang, Yujie Wan, Wei Zuo +43D Gaussian Splatting Heterogeneous GNNs
The University of Hong Kong, Hong Kong, China · Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China · Southern University of Science and Technology, Shenzhen, China +2

May 29, 2026, cs.LGJ/K move · Enter open · S save

Bandwidth Allocation with Device Partitioning for Federated Learning over Industrial IoT networks

Kangmin Kim, Jaeyoung Song

School of Electrical and Electronics Engineering, Pusan National University, Busan, 46241, Korea

Energy-Efficient ML Internet of Things Wireless Resource Allocation Federated Learning

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We consider a federated learning (FL) system in which Industrial Internet-of-Things (IIoT) devices collaboratively train a global model over wireless channels without sharing local data. In such systems, communication time is a primary bottleneck that constrains overall training efficiency. Unlike conventional networks that prioritize individual quality-of-service requirements, FL systems collectively aim to converge to an optimal global model as efficiently as possible, which calls for a fundamentally different approach to bandwidth allocation. In this paper, we propose a novel bandwidth allocation policy that exploits the heterogeneity of device computing capabilities to minimize total training time. Rather than distributing bandwidth among all selected devices simultaneously, the proposed policy partitions the participating devices into ordered subsets and sequentially grants each subset exclusive access to the full bandwidth. We formally prove that this partitioning-based policy achieves a strictly lower training time than any bandwidth allocation scheme without partitioning, irrespective of the underlying scheduling algorithm. Furthermore, by reducing per-device transmission duration, the proposed policy also minimizes uplink energy consumption, which is particularly beneficial for battery-constrained IIoT devices. Extensive experiments on real-world datasets - including GC10-Det, an industrial surface defect benchmark, and CIFAR-10, a standard image classification benchmark - demonstrate that the proposed policy consistently reduces training time and energy consumption compared to existing bandwidth allocation schemes, approaching the theoretical lower bound on round time.

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