Search Results for author: Ekram Hossain

Found 30 papers, 1 papers with code

Failure Analysis in Next-Generation Critical Cellular Communication Infrastructures

no code implementations6 Feb 2024 Siguo Bi, Xin Yuan, Shuyan Hu, Kai Li, Wei Ni, Ekram Hossain, Xin Wang

The advent of communication technologies marks a transformative phase in critical infrastructure construction, where the meticulous analysis of failures becomes paramount in achieving the fundamental objectives of continuity, security, and availability.

Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey

no code implementations14 Dec 2023 Yichen Wan, Youyang Qu, Wei Ni, Yong Xiang, Longxiang Gao, Ekram Hossain

Wireless FL (WFL) is a distributed method of training a global deep learning model in which a large number of participants each train a local model on their training datasets and then upload the local model updates to a central server.

Data Poisoning Federated Learning +1

OFDMA-F$^2$L: Federated Learning With Flexible Aggregation Over an OFDMA Air Interface

no code implementations25 Nov 2023 Shuyan Hu, Xin Yuan, Wei Ni, Xin Wang, Ekram Hossain, H. Vincent Poor

Federated learning (FL) can suffer from a communication bottleneck when deployed in mobile networks, limiting participating clients and deterring FL convergence.

Federated Learning

Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach

no code implementations25 Aug 2023 Firas Fredj, Amal Feriani, Amine Mezghani, Ekram Hossain

In RIS-aided systems, channel estimation involves estimating two channels for the user-RIS (UE-RIS) and RIS-base station (RIS-BS) links.

Variational Inference

NetGPT: A Native-AI Network Architecture Beyond Provisioning Personalized Generative Services

no code implementations12 Jul 2023 Yuxuan Chen, Rongpeng Li, Zhifeng Zhao, Chenghui Peng, Jianjun Wu, Ekram Hossain, Honggang Zhang

Towards personalized generative services, a collaborative cloud-edge methodology is promising, as it facilitates the effective orchestration of heterogeneous distributed communication and computing resources.

Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks

no code implementations14 Mar 2023 Jikun Kang, Di wu, Ju Wang, Ekram Hossain, Xue Liu, Gregory Dudek

In cellular networks, User Equipment (UE) handoff from one Base Station (BS) to another, giving rise to the load balancing problem among the BSs.

Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey

no code implementations11 Mar 2023 Yulong Wang, Tong Sun, Shenghong Li, Xin Yuan, Wei Ni, Ekram Hossain, H. Vincent Poor

This survey provides a comprehensive overview of the recent advancements in the field of adversarial attack and defense techniques, with a focus on deep neural network-based classification models.

Adversarial Attack Adversarial Defense

Semantics-Empowered Communication: A Tutorial-cum-Survey

no code implementations16 Dec 2022 Zhilin Lu, Rongpeng Li, Kun Lu, Xianfu Chen, Ekram Hossain, Zhifeng Zhao, Honggang Zhang

Along with the springing up of the semantics-empowered communication (SemCom) research, it is now witnessing an unprecedentedly growing interest towards a wide range of aspects (e. g., theories, applications, metrics and implementations) in both academia and industry.

Intelligent Computing: The Latest Advances, Challenges and Future

no code implementations21 Nov 2022 Shiqiang Zhu, Ting Yu, Tao Xu, Hongyang Chen, Schahram Dustdar, Sylvain Gigan, Deniz Gunduz, Ekram Hossain, Yaochu Jin, Feng Lin, Bo Liu, Zhiguo Wan, Ji Zhang, Zhifeng Zhao, Wentao Zhu, Zuoning Chen, Tariq Durrani, Huaimin Wang, Jiangxing Wu, Tongyi Zhang, Yunhe Pan

In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting digital revolution in the era of big data, artificial intelligence and internet-of-things with new computing theories, architectures, methods, systems, and applications.

Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey

no code implementations7 Nov 2022 Harrison Kurunathan, Hailong Huang, Kai Li, Wei Ni, Ekram Hossain

It is also unveiled that the reliability and trust of ML in UAV operations and applications require significant attention before full automation of UAVs and potential cooperation between UAVs and humans come to fruition.

Liquid State Machine-Empowered Reflection Tracking in RIS-Aided THz Communications

no code implementations8 Aug 2022 Hosein Zarini, Narges Gholipoor, Mohamad Robat Mili, Mehdi Rasti, Hina Tabassum, Ekram Hossain

It is numerically demonstrated that, in the first step, employing the Xavier initialization technique to fine-tune the LSM results in at most 26% lower LSM prediction variance and as much as 46% achievable spectral efficiency (SE) improvement over the existing counterparts, when an RIS of size 11x11 is deployed.

Ensemble Learning Time Series +1

DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning

no code implementations7 Sep 2021 SM Zobaed, Md Fazle Rabby, Md Istiaq Hossain, Ekram Hossain, Sazib Hasan, Asif Karim, Khan Md. Hasib

The rapid advancement in deep learning makes the differentiation of authentic and manipulated facial images and video clips unprecedentedly harder.

BIG-bench Machine Learning Face Swapping

On the Robustness of Deep Reinforcement Learning in IRS-Aided Wireless Communications Systems

no code implementations17 Jul 2021 Amal Feriani, Amine Mezghani, Ekram Hossain

We consider an Intelligent Reflecting Surface (IRS)-aided multiple-input single-output (MISO) system for downlink transmission.

reinforcement-learning Reinforcement Learning (RL)

Self-Organizing mmWave MIMO Cell-Free Networks With Hybrid Beamforming: A Hierarchical DRL-Based Design

no code implementations17 Mar 2021 Yasser Al-Eryani, Ekram Hossain

Furthermore, to mitigate interference between different cell-free subnetworks, we develop a novel hybrid analog beamsteering-digital beamforming model that zero-forces interference among cell-free subnetworks and at the same time maximizes the instantaneous sum-rate of all UEs within each subnetwork.

Clustering

Ambient Backscatter-Assisted Wireless-Powered Relaying

no code implementations2 Feb 2021 Xiao Lu, Dusit Niyato, Hai Jiang, Ekram Hossain, Ping Wang

With different mode selection protocols, we characterize the success probability and ergodic capacity of a dual-hop relaying system with the hybrid relay in the field of randomly located ambient transmitters.

Information Theory Networking and Internet Architecture Information Theory

Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks

1 code implementation9 Dec 2020 Mohammad Salehi, Ekram Hossain

Federated learning is a machine learning setting where the centralized location trains a learning model over remote devices.

BIG-bench Machine Learning Federated Learning +1

Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial

no code implementations6 Nov 2020 Amal Feriani, Ekram Hossain

In this context, this tutorial focuses on the role of DRL with an emphasis on deep Multi-Agent Reinforcement Learning (MARL) for AI-enabled 6G networks.

Decision Making Edge-computing +3

Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

no code implementations28 Sep 2020 Latif U. Khan, Walid Saad, Zhu Han, Ekram Hossain, Choong Seon Hong

However, given the presence of massively distributed and private datasets, it is challenging to use classical centralized learning algorithms in the IoT.

Networking and Internet Architecture

Computation Offloading in Heterogeneous Vehicular Edge Networks: On-line and Off-policy Bandit Solutions

no code implementations14 Aug 2020 Arash Bozorgchenani, Setareh Maghsudi, Daniele Tarchi, Ekram Hossain

Moreover, we demonstrate that the proposed joint base station selection and the relaying mechanism minimize the task loss in a vehicular environment.

Edge-computing

Distributed Uplink Beamforming in Cell-Free Networks Using Deep Reinforcement Learning

no code implementations26 Jun 2020 Firas Fredj, Yasser Al-Eryani, Setareh Maghsudi, Mohamed Akrout, Ekram Hossain

First, we propose a fully centralized beamforming method that uses the deep deterministic policy gradient algorithm (DDPG) with continuous space.

reinforcement-learning Reinforcement Learning (RL)

Optimization of Wireless Relaying With Flexible UAV-Borne Reflecting Surfaces

no code implementations19 Jun 2020 Taniya Shafique, Hina Tabassum, Ekram Hossain

This paper presents a theoretical framework to analyze the performance of integrated unmanned aerial vehicle (UAV)-intelligent reflecting surface (IRS) relaying system in which IRS provides an additional degree of freedom combined with the flexible deployment of full-duplex UAV to enhance communication between ground nodes.

Multiple Access in Dynamic Cell-Free Networks: Outage Performance and Deep Reinforcement Learning-Based Design

no code implementations29 Jan 2020 Yasser Al-Eryani, Mohamed Akrout, Ekram Hossain

To significantly reduce the complexity of joint processing of users' signals in presence of a large number of devices and APs, we propose a novel dynamic cell-free network architecture.

Clustering

Data-Driven Machine Learning Techniques for Self-healing in Cellular Wireless Networks: Challenges and Solutions

no code implementations14 Jun 2019 Tao Zhang, Kun Zhu, Ekram Hossain

As an important component in SON, self-healing is defined as a network paradigm where the faults of target networks are mitigated or recovered by automatically triggering a series of actions such as detection, diagnosis and compensation.

BIG-bench Machine Learning Fault Detection +1

A Deep Q-Learning Method for Downlink Power Allocation in Multi-Cell Networks

no code implementations30 Apr 2019 Kazi Ishfaq Ahmed, Ekram Hossain

For benchmarking the proposed approach, we use a Genetic Algorithm (GA) to obtain near-optimal power allocation solution.

Benchmarking Q-Learning

Machine Learning in IoT Security: Current Solutions and Future Challenges

no code implementations14 Mar 2019 Fatima Hussain, Rasheed Hussain, Syed Ali Hassan, Ekram Hossain

We also discuss in detail the existing ML and DL solutions for addressing different security problems in IoT networks.

BIG-bench Machine Learning

Distributed Cell Association for Energy Harvesting IoT Devices in Dense Small Cell Networks: A Mean-Field Multi-Armed Bandit Approach

no code implementations30 Apr 2016 Setareh Maghsudi, Ekram Hossain

In this article, we study the distributed cell association problem for energy harvesting IoT devices in UD-SCNs.

Distributed User Association in Energy Harvesting Small Cell Networks: A Probabilistic Model

no code implementations27 Jan 2016 Setareh Maghsudi, Ekram Hossain

We consider a distributed downlink user association problem in a small cell network, where small cells obtain the required energy for providing wireless services to users through ambient energy harvesting.

Multi-armed Bandits with Application to 5G Small Cells

no code implementations2 Oct 2015 Setareh Maghsudi, Ekram Hossain

This requires the next generation wireless networks to move towards new networking paradigms that are able to efficiently support resource-demanding applications such as personalized mobile services.

Multi-Armed Bandits

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