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Spectral Graph Theory Based Resource Allocation for IRS-Assisted Multi-Hop Edge Computing
The performance of mobile edge computing (MEC) depends critically on the...
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Application of Deep Learning to Sphere Decoding for Large MIMO Systems
Although the sphere decoder (SD) is a powerful detector for multiple-inp...
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Hybrid Beamforming and Adaptive RF Chain Activation for Uplink Cell-Free Millimeter-Wave Massive MIMO Systems
In this work, we investigate hybrid analog–digital beamforming (HBF) arc...
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Distributed ADMM with Synergetic Communication and Computation
In this paper, we propose a novel distributed alternating direction meth...
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A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions
The combinatorial auction (CA) is an efficient mechanism for resource al...
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Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks
One of the popular methods for distributed machine learning (ML) is fede...
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From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks
Contemporary network architectures are pushing computing tasks from the ...
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On the Design of Communication Efficient Federated Learning over Wireless Networks
Recently, federated learning (FL), as a promising distributed machine le...
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Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV
Software-defined internet of vehicles (SDIoV) has emerged as a promising...
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A Truthful Auction for Graph Job Allocation in Vehicular Cloud-assisted Networks
Vehicular cloud computing has emerged as a promising solution to fulfill...
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GeoDA: a geometric framework for black-box adversarial attacks
Adversarial examples are known as carefully perturbed images fooling ima...
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Accelerating Generalized Benders Decomposition for Wireless Resource Allocation
Generalized Benders decomposition (GBD) is a globally optimal algorithm ...
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Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
Federated learning (FL) has emerged as a prominent distributed learning ...
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Precoder Design for mmWave UAV Communications with Physical Layer Security
The integration of unmanned aerial vehicles (UAVs) into the terrestrial ...
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Physical Layer Security for NOMA Transmission in mmWave Drone Networks
The non-orthogonal multiple access (NOMA) and millimeter-wave (mmWave) t...
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Multi-Task Offloading over Vehicular Clouds under Graph-based Representation
Vehicular cloud computing has emerged as a promising paradigm for realiz...
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Low-Resolution Limited-Feedback NOMA for mmWave Communications
The spectrum-efficient millimeter-wave (mmWave) communications has recen...
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Dynamic Interference Management for UAV-Assisted Wireless Networks
The deployment of unmanned aerial vehicles (UAVs) is proliferating as th...
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Interference Avoidance Position Planning in Dual-hop and Multi-hop UAV Relay Networks
We consider unmanned aerial vehicle (UAV)-assisted wireless communicatio...
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Quantifying Differential Privacy of Gossip Protocols in General Networks
In this work, we generalize the study of quantifying the differential pr...
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Interference Avoidance in UAV-Assisted Networks: Joint 3D Trajectory Design and Power Allocation
The use of the unmanned aerial vehicle (UAV) has been foreseen as a prom...
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Prevention and Mitigation of Catastrophic Failures in Demand-Supply Interdependent Networks
We propose a generic system model for a special category of interdepende...
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Optimal Time Allocation in VANETs Advertising: A Price-based Approach using Stackelberg Game
Vehicular ad-hoc networks (VANETs) have recently attracted a lot of atte...
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Allocation of Computation-Intensive Graph Jobs over Vehicular Clouds
Recent years have witnessed dramatic growth in smart vehicles and comput...
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Interference Avoidance Position Planning in UAV-assisted Wireless Communication
We consider unmanned aerial vehicle (UAV)-assisted wireless communicatio...
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Distributed Byzantine Tolerant Stochastic Gradient Descent in the Era of Big Data
The recent advances in sensor technologies and smart devices enable the ...
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SLNR Based Precoding for One-Bit Quantized Massive MIMO in mmWave Communications
Massive multiple-input multiple-output (MIMO) is a key technology for 5G...
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Dynamic Mobility-Aware Interference Avoidance for Aerial Base Stations in Cognitive Radio Networks
Aerial base station (ABS) is a promising solution for public safety as i...
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Enhancing Physical Layer Security for NOMA Transmission in mmWave Drone Networks
Physical layer security (PLS) is critically important for emerging wirel...
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Decentralized Differentially Private Without-Replacement Stochastic Gradient Descent
While machine learning has achieved remarkable results in a wide variety...
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Allocation of Graph Jobs in Geo-Distributed Cloud Networks
Recently, processing of big-data has drawn tremendous attention, where c...
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A Two-Stage Auction Mechanism for Cloud Resource Allocation
With the recent growth in the size of cloud computing business, handling...
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Age-Optimal Trajectory Planning for UAV-Assisted Data Collection
Unmanned aerial vehicle (UAV)-aided data collection is a new and promisi...
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A Computation Offloading Incentive Mechanism with Delay and Cost Constraints under 5G Satellite-ground IoV architecture
The 5G Internet of Vehicles has become a new paradigm alongside the grow...
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Delay Optimal Scheduling for Energy Harvesting Based Communications
Green communication attracts increasing research interest recently. Equi...
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