M
Mehdi Bennis
Researcher at University of Oulu
Publications - 642
Citations - 37644
Mehdi Bennis is an academic researcher from University of Oulu. The author has contributed to research in topics: Computer science & Wireless network. The author has an hindex of 68, co-authored 569 publications receiving 25361 citations. Previous affiliations of Mehdi Bennis include Kyung Hee University & Nokia Networks.
Papers
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Journal ArticleDOI
Adversarial Learning for Implicit Semantic-Aware Communications
Zhimin Lu,Yong Xiao,Zijian Sun,Yingyu Li,Guangming Carl Shi,Xianfu Chen,Mehdi Bennis,H. Vincent Poor +7 more
TL;DR: In this paper , the authors propose a solution to solve the problem of the problem: REINFORCE/RESUME 7, 2019. . . . , . . ) .
Proceedings ArticleDOI
Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks
TL;DR: A novel framework is proposed to optimize the reliability of MEC networks by considering the distribution of E2E service delay, encompassing over-the-air transmission and edge computing latency, and the simulation results show that the proposed scheme outperforms several baselines that do not account for the risk analyses or statistics of the E2e service delay.
Posted Content
Federated Learning with Correlated Data: Taming the Tail for Age-Optimal Industrial IoT
Chen-Feng Liu,Mehdi Bennis +1 more
TL;DR: In this paper, the authors proposed a generalized Pareto distribution (GPD) for solving the power allocation problem through Lyapunov optimization, where each sensor utilizes its own data to locally train the GPD model and propose a local-model selection approach which accounts for correlation among the sensor's training data.
Journal ArticleDOI
Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction
TL;DR: In this article , the authors propose a neural network architecture for jointly learning an adaptive state space abstraction and a communication protocol among agents participating in navigation tasks, which significantly reduces the size of the state space to be explored.
Posted Content
UAV-Assisted Communication in Remote Disaster Areas using Imitation Learning
TL;DR: In this article, a UAV-assisted imitation learning (UnVAIL) communication system that relays the cellular users' information to a neighbor base station is presented. But, the UAV does not have the capability to perform any real-time communication.