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01/20/2023
User Trajectory Prediction in Mobile Wireless Networks Using Quantum Reservoir Computing
This paper applies a quantum machine learning technique to predict mobil...
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10/18/2022
Deep Deterministic Policy Gradient to Minimize the Age of Information in Cellular V2X Communications
This paper studies the problem of minimizing the age of information (AoI...
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06/22/2022
Federated Learning for RAN Slicing in Beyond 5G Networks
Radio access network (RAN) slicing allows the division of the network in...
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03/08/2022
Unsupervised Data Splitting Scheme for Federated Edge Learning in IoT Networks
Federated Edge Learning (FEEL) is a promising distributed learning techn...
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02/13/2022
Communication and Computation O-RAN Resource Slicing for URLLC Services Using Deep Reinforcement Learning
The evolution of the future beyond-5G/6G networks towards a service-awar...
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02/13/2022
Dynamic SDN-based Radio Access Network Slicing with Deep Reinforcement Learning for URLLC and eMBB Services
Radio access network (RAN) slicing is a key technology that enables 5G n...
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01/28/2022
Competitive Algorithms and Reinforcement Learning for NOMA in IoT Networks
This paper studies the problem of massive Internet of things (IoT) acces...
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01/27/2022
Resource Provisioning in Edge Computing for Latency Sensitive Applications
Low-Latency IoT applications such as autonomous vehicles, augmented/virt...
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01/27/2022
A Deep Reinforcement Learning Approach for Service Migration in MEC-enabled Vehicular Networks
Multi-access edge computing (MEC) is a key enabler to reduce the latency...
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01/27/2022
Mean-Field Game and Reinforcement Learning MEC Resource Provisioning for SFC
In this paper, we address the resource provisioning problem for service ...
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01/27/2022
A Resources Representation For Resource Allocation In Fog Computing Networks
Fog computing is emerging as a new paradigm to deal with latency-sensiti...
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01/27/2022
Matching-Game for User-Fog Assignment
Fog computing has emerged as a new paradigm in mobile network communicat...
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01/27/2022
An Overview of Blockchain and 5G Networks
The 5G wireless networks are potentially revolutionizing future technolo...
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01/27/2022
An IoT Blockchain Architecture Using Oracles and Smart Contracts: the Use-Case of a Food Supply Chain
The blockchain is a distributed technology which allows establishing tru...
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01/27/2022
Prediction and Detection of FDIA and DDoS Attacks in 5G Enabled IoT
Security in the fifth generation (5G) networks has become one of the pri...
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01/27/2022
Towards a Scalable and Trustworthy Blockchain: IoT Use Case
Recently, blockchain has gained momentum as a novel technology that give...
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01/27/2022
Towards a Secure and Reliable Federated Learning using Blockchain
Federated learning (FL) is a distributed machine learning (ML) technique...
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01/27/2022
Network Slicing with MEC and Deep Reinforcement Learning for the Internet of Vehicles
The interconnection of vehicles in the future fifth generation (5G) wire...
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01/27/2022
Network slicing for vehicular communications: a multi-agent deep reinforcement learning approach
This paper studies the multi-agent resource allocation problem in vehicu...
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01/27/2022
Clustered Vehicular Federated Learning: Process and Optimization
Federated Learning (FL) is expected to play a prominent role for privacy...
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01/27/2022
Electrical Load Forecasting Using Edge Computing and Federated Learning
In the smart grid, huge amounts of consumption data are used to train de...
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01/27/2022
Data-Quality Based Scheduling for Federated Edge Learning
FEderated Edge Learning (FEEL) has emerged as a leading technique for pr...
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01/11/2022
Matching-based Service Offloading for Compute-less Driven IoT Networks
With the advent of the Internet of Things (IoT) and 5G networks, edge co...
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05/10/2021
Service Function Chaining in MEC: A Mean-Field Game and Reinforcement Learning Approach
Multi-access edge computing (MEC) and network virtualization technologie...
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04/08/2021
A Network-based Compute Reuse Architecture for IoT Applications
The tremendous advancements in the Internet of Things (IoT) increasingly...
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04/07/2021
Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning
The exponential growth of distributed energy resources is enabling the t...
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03/29/2021
How Far Can We Go in Compute-less Networking: Computation Correctness and Accuracy
Emerging applications such as augmented reality and the tactile Internet...
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02/18/2021
Data-Aware Device Scheduling for Federated Edge Learning
Federated Edge Learning (FEEL) involves the collaborative training of ma...
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09/24/2020
Design and Evaluation of a Receiver for Wired Nano-Communication Networks
In this paper, we propose a bio-inspired receiver, which detects the ele...
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08/31/2020
Federated Edge Learning : Design Issues and Challenges
Federated Learning (FL) is a distributed machine learning technique, whe...
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05/25/2020
A Physical Channel Model for Wired Nano-Communication Networks
In this paper, we propose a new end-to-end system for wired nano-communi...
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02/19/2020
Massive Access in Beyond 5G IoT Networks with NOMA: NP-hardness, Competitiveness and Learning
This paper studies the problem of online user grouping, scheduling and p...
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11/20/2019
Toward a Wired Ad Hoc Nanonetwork
Nanomachines promise to enable new medical applications, including drug ...
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03/19/2019
