no code implementations • 11 Mar 2024 • Md. Shirajum Munir, Sravanthi Proddatoori, Manjushree Muralidhara, Walid Saad, Zhu Han, Sachin Shetty
Understanding the potential of generative AI (GenAI)-based attacks on the power grid is a fundamental challenge that must be addressed in order to protect the power grid by realizing and validating risk in new attack vectors.
no code implementations • 20 Feb 2024 • Kui Wang, Zongdian Li, Kazuma Nonomura, Tao Yu, Kei Sakaguchi, Omar Hashash, Walid Saad
The performance of SMDT is evaluated from two standpoints: (i) the rewards of the proposed navigation system on traffic efficiency and safety and, (ii) the latency and reliability of the SMDT platform.
no code implementations • 30 Jan 2024 • Shengzhe Xu, Christo Kurisummoottil Thomas, Omar Hashash, Nikhil Muralidhar, Walid Saad, Naren Ramakrishnan
Diverging from NLP-based foundation models, the proposed framework promotes the design of large multi-modal models (LMMs) fostered by three key capabilities: 1) processing of multi-modal sensing data, 2) grounding of physical symbol representations in real-world wireless systems using causal reasoning and retrieval-augmented generation (RAG), and 3) enabling instructibility from the wireless environment feedback to facilitate dynamic network adaptation thanks to logical and mathematical reasoning facilitated by neuro-symbolic AI.
no code implementations • 21 Dec 2023 • Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo
The proposed federated QLSTM (FedQLSTM) framework is exploited for performing the task of function approximation.
no code implementations • 11 Dec 2023 • Tao Yu, Zongdian Li, Kei Sakaguchi, Omar Hashash, Walid Saad, Merouane Debbah
In contrast, this paper envisions a novel concept of an Internet of Federated Digital Twins (IoFDT) that holistically integrates heterogeneous and physically separated DTs representing different Society 5. 0 services within a single framework and system.
no code implementations • 9 Dec 2023 • Jingxuan Chai, Yong Xiao, Guangming Shi, Walid Saad
Motivated by the fact that the semantic information generally involves rich intrinsic knowledge that cannot always be directly observed by the encoder, we consider a semantic information source that can only be indirectly sensed by the encoder.
no code implementations • 8 Dec 2023 • Huixiang Zhu, Yong Xiao, Yingyu Li, Guangming Shi, Walid Saad
Motivated by the observation that signals recorded by wireless receivers are closely related to a set of physical-layer semantic features, in this paper we propose a novel zero-shot wireless sensing solution that allows models constructed in one or a limited number of locations to be directly transferred to other locations without any labeled data.
no code implementations • 7 Dec 2023 • Maryam Ben Driss, Essaid Sabir, Halima Elbiaze, Walid Saad
However, massive data, energy consumption, training complexity, and sensitive data protection in wireless systems are all crucial challenges that must be addressed for training AI models and gathering intelligence and knowledge from distributed devices.
no code implementations • 30 Nov 2023 • Christo Kurisummoottil Thomas, Emilio Calvanese Strinati, Walid Saad
In this paper, a pragmatic semantic communication framework that enables effective goal-oriented information sharing between two-intelligent agents is proposed.
no code implementations • 23 Sep 2023 • Christo Kurisummoottil Thomas, Christina Chaccour, Walid Saad, Merouane Debbah, Choong Seon Hong
We showcase how incorporating causal discovery can assist in achieving dynamic adaptability, resilience, and cognition in addressing these challenges.
no code implementations • 19 Sep 2023 • Bernd Simon, Andrea Ortiz, Walid Saad, Anja Klein
The task assignment problem is modeled as a matching game considering the MCSP's and MUs' individual goals while the MUs learn their efforts online.
no code implementations • 18 Sep 2023 • Minsu Kim, Walid Saad
The generalization and memorization performance of the proposed framework are theoretically analyzed.
no code implementations • 5 Jul 2023 • Tengchan Zeng, Aidin Ferdowsi, Omid Semiari, Walid Saad, Choong Seon Hong
For both cases, solutions using the convergence of communication theory, control theory, and machine learning are proposed to enable effective and secure CAV navigation.
1 code implementation • 20 Jun 2023 • Yong Xiao, Yiwei Liao, Yingyu Li, Guangming Shi, H. Vincent Poor, Walid Saad, Merouane Debbah, Mehdi Bennis
Most existing works focus on transmitting and delivering the explicit semantic meaning that can be directly identified from the source signal.
no code implementations • 11 May 2023 • Mojtaba Vaezi, Xingqin Lin, Hongliang Zhang, Walid Saad, H. Vincent Poor
In this paper, we propose leveraging deep reinforcement learning for interference management to tackle this shortcoming.
no code implementations • 29 Apr 2023 • Christina Chaccour, Walid Saad, Merouane Debbah, H. Vincent Poor
Second, a non-autoregressive multi-resolution generative artificial intelligence (AI) framework integrated with an adversarial transformer is proposed to predict missing and future sensing information.
no code implementations • 25 Apr 2023 • Christo Kurisummoottil Thomas, Walid Saad, Yong Xiao
The causal structure in the source data is extracted using novel approaches from the framework of deep end-to-end causal inference, thereby enabling the creation of a semantic representation that is causally invariant, which in turn helps generalize the learned knowledge of the system to unseen scenarios.
no code implementations • 20 Apr 2023 • Omar Hashash, Christina Chaccour, Walid Saad, Tao Yu, Kei Sakaguchi, Merouane Debbah
We then articulate how these experiences bring forth interactions between diverse metaverse constituents, namely, a) humans and avatars and b) connected intelligence systems and their digital twins (DTs).
no code implementations • 14 Mar 2023 • Christo Kurisummoottil Thomas, Walid Saad
Future wireless services, such as the metaverse require high information rate, reliability, and low latency.
1 code implementation • 3 Mar 2023 • Mahdi Boloursaz Mashhadi, Mahnoosh Mahdavimoghadam, Rahim Tafazolli, Walid Saad
For this system, the convergence rate of collaborative learning is derived while considering data heterogeneity, sensor noise levels, and communication errors, then, the drone trajectory that maximizes the final accuracy of the trained NN is obtained.
no code implementations • 15 Feb 2023 • Tilahun M. Getu, Walid Saad, Georges Kaddoum, Mehdi Bennis
Although deep learning (DL)-enabled semantic communication (SemCom) has emerged as a 6G enabler by minimizing irrelevant information transmission -- minimizing power usage, bandwidth consumption, and transmission delay, its benefits can be limited by radio frequency interference (RFI) that causes substantial semantic noise.
no code implementations • 18 Dec 2022 • Christina Chaccour, Walid Saad
Deep semantic clusters of highest confidence are considered learnable, semantic-rich data, i. e., data that can be used to build a language in a semantic communications system.
no code implementations • 25 Nov 2022 • Christina Chaccour, Walid Saad, Merouane Debbah, Zhu Han, H. Vincent Poor
In this tutorial, we present the first rigorous vision of a scalable end-to-end semantic communication network that is founded on novel concepts from artificial intelligence (AI), causal reasoning, and communication theory.
1 code implementation • 18 Nov 2022 • Alexander C. DeRieux, Walid Saad, Wangda Zuo, Rachmawan Budiarto, Mochamad Donny Koerniawan, Dwi Novitasari
In this paper, a Transformer-based AI system for emerging smart cities is proposed.
no code implementations • 10 Nov 2022 • Chao Zhang, Hang Zou, Samson Lasaulce, Walid Saad, Marios Kountouris, Mehdi Bennis
Internet of Things (IoT) devices will play an important role in emerging applications, since their sensing, actuation, processing, and wireless communication capabilities stimulate data collection, transmission and decision processes of smart applications.
no code implementations • 21 Oct 2022 • Christo Kurisummoottil Thomas, Walid Saad
In this paper, a novel emergent SC (ESC) system framework is proposed and is composed of a signaling game for emergent language design and a neuro-symbolic (NeSy) artificial intelligence (AI) approach for causal reasoning.
no code implementations • 13 Oct 2022 • Md. Shirajum Munir, Ki Tae Kim, Apurba Adhikary, Walid Saad, Sachin Shetty, Seong-Bae Park, Choong Seon Hong
Explainable artificial intelligence (XAI) twin systems will be a fundamental enabler of zero-touch network and service management (ZSM) for sixth-generation (6G) wireless networks.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +2
no code implementations • 21 Sep 2022 • Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui
Compared to model-free RL, this model-based RL approach leverages the derived mathematical characterization of the FL training process to discover an effective device selection and quantization scheme without imposing additional device communication overhead.
no code implementations • 19 Aug 2022 • Ali Pourranjbar, Georges Kaddoum, Walid Saad
Moreover, when 70 % of the spectrum is under jamming attacks from multiple jammers, the proposed method achieves an STR and ER greater than 75 % and 80 %, respectively.
no code implementations • 17 Aug 2022 • Yining Wang, Mingzhe Chen, Tao Luo, Walid Saad, Dusit Niyato, H. Vincent Poor, Shuguang Cui
Hence, the BS must select an appropriate resource block for each user as well as determine and transmit part of the semantic information to the users.
no code implementations • 11 Aug 2022 • Mohammad Taghi Dabiri, Mazen Hasna, Walid Saad
In this paper, an unmanned aerial vehicles (UAV)-based heterogeneous network is studied to solve the problem of transferring massive traffic of distributed small cells to the core network.
no code implementations • 19 Jul 2022 • Minsu Kim, Walid Saad, Mohammad Mozaffari, Merouane Debbah
In this paper, a green-quantized FL framework, which represents data with a finite precision level in both local training and uplink transmission, is proposed.
no code implementations • 2 Jun 2022 • Bassel Al Homssi, Kosta Dakic, Ke Wang, Tansu Alpcan, Ben Allen, Russell Boyce, Sithamparanathan Kandeepan, Akram Al-Hourani, Walid Saad
This article introduces the application of AI techniques for integrated terrestrial satellite networks, particularly massive satellite network communications.
no code implementations • 22 May 2022 • Christo Kurisummoottil Thomas, Walid Saad
Novel analytical formulations are developed to define key metrics for semantic message transmission, including semantic distortion, semantic similarity, and semantic reliability.
no code implementations • 21 Apr 2022 • Mohammad Karimzadeh Farshbafan, Walid Saad, Merouane Debbah
In contrast, in this paper, a holistic goal-oriented semantic communication framework is proposed to enable a speaker and a listener to cooperatively execute a set of sequential tasks in a dynamic environment.
no code implementations • 18 Apr 2022 • Zhiyu Zhu, Caili Guo, Rongzhen Bao, Mingzhe Chen, Walid Saad, Yang Yang
In this paper, the arc feature of the circular luminaire and the coordinate information obtained via visible light communication (VLC) are jointly used for VLC-enabled indoor positioning, and a novel perspective arcs approach is proposed.
no code implementations • 10 Apr 2022 • Omar Hashash, Christina Chaccour, Walid Saad
To guarantee a robust connection between these two worlds, DTs should maintain accurate representations of the physical applications, while preserving synchronization between real and digital entities.
no code implementations • 12 Mar 2022 • Lunan Sun, Yang Yang, Mingzhe Chen, Caili Guo, Walid Saad, H. Vincent Poor
In particular, a new IB objective for image transmission is proposed so as to minimize the distortion and the transmission rate.
no code implementations • 26 Dec 2021 • Tengchan Zeng, Omid Semiari, Walid Saad, Mehdi Bennis
In this paper, to characterize the wireless connectivity performance for UAM, a spatial model is proposed.
no code implementations • 19 Dec 2021 • Ali Pourranjbar, Georges Kaddoum, Walid Saad
To evaluate the performance of the proposed recognition method, the accuracy of the detection is derived as a function of the jammer policy switching time.
no code implementations • 23 Nov 2021 • Fatemeh Lotfi, Omid Semiari, Walid Saad
To address these challenges, in this paper, a novel semantic-aware CDRL method is proposed to enable a group of heterogeneous untrained agents with semantically-linked DRL tasks to collaborate efficiently across a resource-constrained wireless cellular network.
no code implementations • 15 Nov 2021 • Minsu Kim, Walid Saad, Mohammad Mozaffari, Merouane Debbah
In this paper, a quantized FL framework, that represents data with a finite level of precision in both local training and uplink transmission, is proposed.
no code implementations • 15 Nov 2021 • Mohammad Karimzadeh Farshbafan, Walid Saad, Merouane Debbah
In this paper, a comprehensive semantic communications framework is proposed for enabling goal-oriented task execution.
no code implementations • 6 Oct 2021 • Mohammad Aghapour, Aidin Ferdowsi, Walid Saad
In federated learning (FL), a machine learning model is trained on multiple nodes in a decentralized manner, while keeping the data local and not shared with other nodes.
no code implementations • 20 Sep 2021 • Xiaoyuan Fan, Daniel Moscovitz, Liang Du, Walid Saad
As probably the most complicated and critical infrastructure system, U. S. power grids become increasingly vulnerable to extreme events such as cyber-attacks and severe weather, as well as higher DER penetrations and growing information mismatch among system operators, utilities (transmission or generation owners), and end-users.
no code implementations • 15 Aug 2021 • Yantong Wang, Ye Hu, Zhaohui Yang, Walid Saad, Kai-Kit Wong, Vasilis Friderikos
In this paper, a novel framework for proactive caching is proposed.
no code implementations • 11 Aug 2021 • Md Moin Uddin Chowdhury, Ismail Guvenc, Walid Saad, Arupjyoti Bhuyan
Since this is an NP-hard problem, we propose a genetic algorithm (GA) based heuristic method to optimize the UT angles of these antennas.
no code implementations • 3 Aug 2021 • Qianqian Zhang, Walid Saad
In this paper, a novel framework is proposed for channel charting (CC)-aided localization in millimeter wave networks.
1 code implementation • 30 May 2021 • Mahdi Chehimi, Walid Saad
First, given the lack of existing quantum federated datasets in the literature, the proposed framework begins by generating the first quantum federated dataset, with a hierarchical data format, for distributed quantum networks.
no code implementations • 5 Apr 2021 • Mingzhe Chen, Deniz Gündüz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor
Then, we present a detailed literature review on the use of communication techniques for its efficient deployment.
no code implementations • 4 Apr 2021 • Sihua Wang, Mingzhe Chen, Zhaohui Yang, Changchuan Yin, Walid Saad, Shuguang Cui, H. Vincent Poor
In this paper, the problem of minimizing the weighted sum of age of information (AoI) and total energy consumption of Internet of Things (IoT) devices is studied.
no code implementations • 31 Mar 2021 • Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis, Choong Seon Hong
Simulation results show that the error between policies of the optimal and the RNN-based controllers is less than 1. 5%.
no code implementations • 25 Mar 2021 • Ali Pourranjbar, Georges Kaddoum, Aidin Ferdowsi, Walid Saad
Different from existing works, in this paper, a novel anti-jamming strategy is proposed based on the idea of deceiving the jammer into attacking a victim channel while maintaining the communications of legitimate users in safe channels.
no code implementations • 13 Mar 2021 • Juntong Liu, Yong Xiao, Yingyu Li, Guangming Shiyz, Walid Saad, H. Vincent Poor
The effective deployment of connected vehicular networks is contingent upon maintaining a desired performance across spatial and temporal domains.
no code implementations • 24 Feb 2021 • Latif U. Khan, Walid Saad, Dusit Niyato, Zhu Han, Choong Seon Hong
Therefore, enabling IoE applications over 6G requires a new framework that can be used to manage, operate, and optimize the 6G wireless system and its underlying IoE services.
Edge-computing Networking and Internet Architecture
no code implementations • 15 Feb 2021 • Christina Chaccour, Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis, Petar Popovski, Merouane Debbah
Based on these fundamentals, we characterize seven unique defining features of THz wireless systems: 1) Quasi-opticality of the band, 2) THz-tailored wireless architectures, 3) Synergy with lower frequency bands, 4) Joint sensing and communication systems, 5) PHY-layer procedures, 6) Spectrum access techniques, and 7) Real-time network optimization.
Information Theory Information Theory
no code implementations • 5 Feb 2021 • Tengchan Zeng, Omid Semiari, Mingzhe Chen, Walid Saad, Mehdi Bennis
The results also validate the feasibility of the contract-theoretic incentive mechanism and show that the proposed mechanism can improve the convergence speed of the DFP algorithm by 40% compared to the baselines.
no code implementations • 2 Feb 2021 • Qianqian Zhang, Aidin Ferdowsi, Walid Saad, Mehdi Bennis
To guarantee an efficient learning process, necessary and sufficient conditions for the optimal UAV network topology that maximizes the learning rate for cooperative channel modeling are derived, and the optimal CGAN learning solution per UAV is subsequently characterized, based on the distributed network structure.
1 code implementation • 29 Jan 2021 • Yining Wang, Mingzhe Chen, Zhaohui Yang, Walid Saad, Tao Luo, Shuguang Cui, H. Vincent Poor
The problem is formulated as an optimization problem whose goal is to maximize the reliability of the VR network by selecting the appropriate VAPs to be turned on and controlling the user association with SBSs.
no code implementations • 22 Dec 2020 • Sumudu Samarakoon, Mehdi Bennis, Walid Saad, Merouane Debbah
Results show that the accuracy of detecting channel blocking events is higher using the model-based method for low to moderate reliability targets requiring low sample complexity.
Survival Analysis Networking and Internet Architecture
no code implementations • 14 Dec 2020 • Md. Noor-A-Rahim, Zilong Liu, Haeyoung Lee, M. Omar Khyam, Jianhua He, Dirk Pesch, Klaus Moessner, Walid Saad, H. Vincent Poor
Aiming for truly intelligent transportation systems, we envision that machine learning will play an instrumental role for advanced vehicular communication and networking.
Autonomous Vehicles Information Theory Networking and Internet Architecture Information Theory
no code implementations • 9 Dec 2020 • Bo Zhou, Walid Saad
Then, a mean-field approximation approach with guaranteed accuracy is developed to analyze the asymptotic performance for the considered system with an infinite number of devices and the effects of the system parameters on the average AoI are characterized.
Information Theory Networking and Internet Architecture Information Theory
no code implementations • 7 Dec 2020 • Mohamed K. Abdel-Aziz, Cristina Perfecto, Sumudu Samarakoon, Mehdi Bennis, Walid Saad
Simulation results show the ability of the RL agents to efficiently learn the vehicles' association, RB allocation, and message content selection while maximizing vehicles' satisfaction in terms of the received sensory information.
no code implementations • 6 Dec 2020 • Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui
Analytical results show that, the proposed VD-RL algorithm is guaranteed to converge to a local optimal solution of the non-convex optimization problem.
no code implementations • 12 Nov 2020 • Minsu Kim, Sungho Lee, Chanwon Park, Jemin Lee, Walid Saad
The age of information (AoI) is a recently proposed metric for quantifying data freshness in real-time status monitoring systems where timeliness is of importance.
no code implementations • 3 Nov 2020 • Qianqian Zhang, Walid Saad, Mehdi Bennis
In this paper, a novel communication framework that uses an unmanned aerial vehicle (UAV)-carried intelligent reflector (IR) is proposed to enhance multi-user downlink transmissions over millimeter wave (mmWave) frequencies.
Distributional Reinforcement Learning reinforcement-learning +1
no code implementations • 1 Oct 2020 • Yong Xiao, Guangming Shi, Yingyu Li, Walid Saad, H. Vincent Poor
Edge intelligence, also called edge-native artificial intelligence (AI), is an emerging technological framework focusing on seamless integration of AI, communication networks, and mobile edge computing.
no code implementations • 28 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
no code implementations • 20 Sep 2020 • Arthur S. de Sena, Dick Carrillo, Fang Fang, Pedro H. J. Nardelli, Daniel B. da Costa, Ugo S. Dias, Zhiguo Ding, Constantinos B. Papadias, Walid Saad
Massive multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) are two key techniques for enabling massive connectivity in future wireless networks.
no code implementations • 12 Aug 2020 • Latif U. Khan, Walid Saad, Zhu Han, Choong Seon Hong
However, federated learning still has privacy concerns due to sensitive information inferring capability of the aggregation server using end-devices local learning models.
Distributed, Parallel, and Cluster Computing
1 code implementation • 7 Jul 2020 • Minh N. H. Nguyen, Shashi Raj Pandey, Tri Nguyen Dang, Eui-Nam Huh, Nguyen H. Tran, Walid Saad, Choong Seon Hong
Inspired by Dem-AI philosophy, a novel distributed learning approach is proposed in this paper.
no code implementations • 5 Jul 2020 • Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui
In this paper, the problem of delay minimization for federated learning (FL) over wireless communication networks is investigated.
no code implementations • 3 Jun 2020 • Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui
However, due to resource constraints and privacy challenges, edge IoT devices may not be able to transmit their collected data to a central controller for training machine learning models.
no code implementations • 25 May 2020 • Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui
Meanwhile, the probability that the DBS serves over 50% of user requests increases about 27%, compared to the baseline policy gradient algorithm.
no code implementations • 1 May 2020 • Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui
In this network, multiple RISs are spatially distributed to serve wireless users and the energy efficiency of the network is maximized by dynamically controlling the on-off status of each RIS as well as optimizing the reflection coefficients matrix of the RISs.
no code implementations • 4 Apr 2020 • Renan C. Moioli, Pedro H. J. Nardelli, Michael Taynnan Barros, Walid Saad, Amin Hekmatmanesh, Pedro Gória, Arthur S. de Sena, Merim Dzaferagic, Harun Siljak, Werner van Leekwijck, Dick Carrillo, Steven Latré
In particular, we propose a novel systematization that divides the contributions into two groups, one focused on what neurosciences will offer to 6G in terms of new applications and systems architecture (Neurosciences for Wireless), and the other focused on how wireless communication theory and 6G systems can provide new ways to study the brain (Wireless for Neurosciences).
Signal Processing Emerging Technologies Information Theory Information Theory Neurons and Cognition
no code implementations • 19 Mar 2020 • Sihua Wang, Mingzhe Chen, Changchuan Yin, Walid Saad, Choong Seon Hong, Shuguang Cui, H. Vincent Poor
This problem is posed as an optimization problem whose goal is to minimize the energy and time consumption for task computing and transmission by adjusting the user association, service sequence, and task allocation scheme.
1 code implementation • 18 Mar 2020 • Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar, Nguyen H. Tran, Mingzhe Chen, Walid Saad, Choong Seon Hong
Consequently, many emerging cross-device AI applications will require a transition from traditional centralized learning systems towards large-scale distributed AI systems that can collaboratively perform multiple complex learning tasks.
no code implementations • 1 Mar 2020 • Xinwei Chen, Ali Taleb Zadeh Kasgari, Walid Saad
In this paper, the problem of head movement prediction for virtual reality videos is studied.
no code implementations • 24 Feb 2020 • Qianqian Zhang, Walid Saad, Mehdi Bennis
Furthermore, under limited knowledge of CSI, simulation results show that the proposed QR-DRL method, which learns a full distribution of the downlink rate, yields a better prediction accuracy and improves the downlink rate by 10% for online deployments, compared with a Q-learning baseline.
no code implementations • 20 Feb 2020 • Md. Shirajum Munir, Nguyen H. Tran, Walid Saad, Choong Seon Hong
In particular, each BS plays the role of a local agent that explores a Markovian behavior for both energy consumption and generation while each BS transfers time-varying features to a meta-agent.
no code implementations • 19 Feb 2020 • Tengchan Zeng, Omid Semiari, Mohammad Mozaffari, Mingzhe Chen, Walid Saad, Mehdi Bennis
Unmanned aerial vehicle (UAV) swarms must exploit machine learning (ML) in order to execute various tasks ranging from coordinated trajectory planning to cooperative target recognition.
no code implementations • 2 Feb 2020 • Aidin Ferdowsi, Walid Saad
In this paper, to address this multi-agent GAN problem, a novel brainstorming GAN (BGAN) architecture is proposed using which multiple agents can generate real-like data samples while operating in a fully distributed manner.
no code implementations • 22 Jan 2020 • Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui
Due to the limited number of resource blocks (RBs) in a wireless network, only a subset of users can be selected to transmit their local FL model parameters to the BS at each learning step.
no code implementations • 13 Jan 2020 • Fenghe Hu, Yansha Deng, Walid Saad, Mehdi Bennis, A. Hamid Aghvami
Cellular-connected wireless connectivity provides new opportunities for virtual reality(VR) to offer seamless user experience from anywhere at anytime.
no code implementations • 28 Nov 2019 • Yining Wang, Mingzhe Chen, Zhaohui Yang, Tao Luo, Walid Saad
Using GRUs and CNNs, the UAVs can model the long-term historical illumination distribution and predict the future illumination distribution.
no code implementations • 27 Nov 2019 • Mohamed K. Abdel-Aziz, Sumudu Samarakoon, Mehdi Bennis, Walid Saad
Therefore, to effectively allocate power and RBs, the proposed approach allows the network to actively learn its dynamics by balancing a tradeoff between minimizing the probability that the vehicles' AoI exceeds a predefined threshold and maximizing the knowledge about the network dynamics.
no code implementations • 15 Nov 2019 • Soheil Rostami, Walid Saad, Choong Seon Hong
To maintain lower error rate in presence of severe atmospheric turbulence, a new approach that combines effective machine learning tools from persistent homology and convolutional neural networks (CNNs) is proposed to decode the OAM modes.
no code implementations • 6 Nov 2019 • Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei
To solve this problem, an iterative algorithm is proposed where, at every step, closed-form solutions for time allocation, bandwidth allocation, power control, computation frequency, and learning accuracy are derived.
no code implementations • 6 Nov 2019 • Latif U. Khan, Nguyen H. Tran, Shashi Raj Pandey, Walid Saad, Zhu Han, Minh N. H. Nguyen, Choong Seon Hong
IoT devices with intelligence require the use of effective machine learning paradigms.
Distributed, Parallel, and Cluster Computing
no code implementations • 1 Nov 2019 • Ali Taleb Zadeh Kasgari, Walid Saad, Mohammad Mozaffari, H. Vincent Poor
Formally, the URLLC resource allocation problem is posed as a power minimization problem under reliability, latency, and rate constraints.
no code implementations • 2 Oct 2019 • Minchae Jung, Walid Saad, Merouane Debbah, Choong Seon Hong
In this paper, the asymptotic optimality of achievable rate in a downlink RIS system is analyzed under a practical RIS environment with its associated limitations.
Information Theory Signal Processing Information Theory
no code implementations • 17 Sep 2019 • Yining Wang, Mingzhe Chen, Zhaohui Yang, Xue Hao, Tao Luo, Walid Saad
This problem is formulated as an optimization problem whose goal is to minimize the total transmit power while meeting the illumination and communication requirements of users.
1 code implementation • 17 Sep 2019 • Mingzhe Chen, Zhaohui Yang, Walid Saad, Changchuan Yin, H. Vincent Poor, Shuguang Cui
This joint learning, wireless resource allocation, and user selection problem is formulated as an optimization problem whose goal is to minimize an FL loss function that captures the performance of the FL algorithm.
no code implementations • 11 Jun 2019 • Xuanlin Liu, Mingzhe Chen, Changchuan Yin, Walid Saad
Then, a series architecture ESN is proposed in which ESN reservoirs are placed in cascade that the output of each ESN is the input of the next ESN in the series.
no code implementations • 3 Jun 2019 • Aidin Ferdowsi, Walid Saad
To this end, in this paper, a distributed generative adversarial network (GAN) is proposed to provide a fully distributed IDS for the IoT so as to detect anomalous behavior without reliance on any centralized controller.
no code implementations • 13 Dec 2018 • Aidin Ferdowsi, Samad Ali, Walid Saad, Narayan B. Mandayam
For sensors having a prior information, a DIA detection approach is proposed and an optimal threshold level is derived for the difference between the actual and estimated values of sensors data which enables ACV to stay robust against cyber attacks.
no code implementations • 4 Dec 2018 • Mingzhe Chen, Omid Semiari, Walid Saad, Xuanlin Liu, Changchuan Yin
The proposed algorithm uses concept from federated learning to enable multiple BSs to locally train their deep ESNs using their collected data and cooperatively build a learning model to predict the entire users' locations and orientations.
Information Theory Information Theory
no code implementations • 21 Jul 2018 • Sumudu Samarakoon, Mehdi Bennis, Walid Saad, Merouane Debbah
In this paper, the problem of joint power and resource allocation (JPRA) for ultra-reliable low-latency communication (URLLC) in vehicular networks is studied.
Information Theory Information Theory
no code implementations • 11 May 2018 • Sumudu Samarakoon, Mehdi Bennis, Walid Saad, Merouane Debbah
It is shown that FL enables the proposed distributed method to estimate the tail distribution of queues with an accuracy that is very close to a centralized solution with up to 79\% reductions in the amount of data that need to be exchanged.
no code implementations • 2 May 2018 • Aidin Ferdowsi, Ursula Challita, Walid Saad, Narayan B. Mandayam
To this end, in this paper, the state estimation process for monitoring AV dynamics, in presence of CP attacks, is analyzed and a novel adversarial deep reinforcement learning (RL) algorithm is proposed to maximize the robustness of AV dynamics control to CP attacks.
no code implementations • 15 Apr 2018 • Ursula Challita, Aidin Ferdowsi, Mingzhe Chen, Walid Saad
Cellular-connected unmanned aerial vehicles (UAVs) will inevitably be integrated into future cellular networks as new aerial mobile users.
no code implementations • 1 Mar 2018 • Aidin Ferdowsi, Walid Saad
In the massive IoT system, due to a large set of available actions for the cloud, it is shown that analytically deriving the MSNE is challenging and, thus, a learning algorithm proposed that converges to the MSNE.
no code implementations • 16 Jan 2018 • Ursula Challita, Walid Saad, Christian Bettstetter
The results also show that the optimal altitude of the UAVs varies based on the ground network density and the UE data rate requirements and plays a vital role in minimizing the interference level on the ground UEs as well as the wireless transmission delay of the UAV.
no code implementations • 12 Dec 2017 • Aidin Ferdowsi, Ursula Challita, Walid Saad
However, realizing the true potential of ITSs requires ultra-low latency and reliable data analytics solutions that can combine, in real-time, a heterogeneous mix of data stemming from the ITS network and its environment.
no code implementations • 3 Nov 2017 • Aidin Ferdowsi, Walid Saad
In this paper, a novel deep learning method is proposed for dynamic watermarking of IoT signals to detect cyber attacks.
Information Theory Cryptography and Security Multimedia Information Theory
no code implementations • 9 Oct 2017 • Mingzhe Chen, Ursula Challita, Walid Saad, Changchuan Yin, Mérouane Debbah
Next-generation wireless networks must support ultra-reliable, low-latency communication and intelligently manage a massive number of Internet of Things (IoT) devices in real-time, within a highly dynamic environment.
no code implementations • 22 Feb 2017 • Ursula Challita, Li Dong, Walid Saad
LTE in unlicensed spectrum using licensed assisted access LTE (LTE-LAA) is a promising approach to overcome the wireless spectrum scarcity.
no code implementations • 6 Oct 2016 • Seyed Rasoul Etesami, Walid Saad, Narayan Mandayam, H. Vincent Poor
For this case, it is shown that such an optimization problem admits a no-regret algorithm meaning that regardless of the actual outcome of the game among the prosumers, the utility company can follow a strategy that mitigates its allocation costs as if it knew the entire demand market a priori.
no code implementations • 27 Aug 2013 • Sumudu Samarakoon, Mehdi Bennis, Walid Saad, Matti Latva-aho
In this paper, a novel, backhaul-aware approach to interference management in wireless small cell networks is proposed.