108 citations · 308 across the 31 of their papers we have counts for
33 papers
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation
Tengchan Zeng, Aidin Ferdowsi, Omid Semiari +2
Connected and autonomous vehicles (CAVs) can reduce human errors in traffic accidents, increase road efficiency, and execute various tasks ranging from delivery to smart city surve…
Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN
Fatemeh Lotfi, Omid Semiari, Fatemeh Afghah
The next-generation wireless networks are required to satisfy a variety of services and criteria concurrently. To address upcoming strict criteria, a new open radio access network…
Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks
Arian Ahmadi, Omid Semiari, Mehdi Bennis +1
Multi-access edge computing (MEC) is viewed as an integral part of future wireless networks to support new applications with stringent service reliability and latency requirements.…
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)
Tengchan Zeng, Omid Semiari, Walid Saad +1
To meet the growing mobility needs in intra-city transportation, the concept of urban air mobility (UAM) has been proposed in which vertical takeoff and landing (VTOL) aircraft are…
Joint Sensing and Communication for Situational Awareness in Wireless THz Systems
Christina Chaccour, Walid Saad, Omid Semiari +2
Next-generation wireless systems are rapidly evolving from communication-only systems to multi-modal systems with integrated sensing and communications. In this paper a novel joint…
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks
Fatemeh Lotfi, Omid Semiari, Walid Saad
Collaborative deep reinforcement learning (CDRL) algorithms in which multiple agents can coordinate over a wireless network is a promising approach to enable future intelligent and…
Performance Analysis and Optimization of Uplink Cellular Networks with Flexible Frame Structure
Fatemeh Lotfi, Omid Semiari
Future wireless cellular networks must support both enhanced mobile broadband (eMBB) and ultra reliable low latency communication (URLLC) to manage heterogeneous data traffic for e…
Reinforcement Learning for Optimized Beam Training in Multi-Hop Terahertz Communications
Arian Ahmadi, Omid Semiari
Communication at terahertz (THz) frequency bands is a promising solution for achieving extremely high data rates in next-generation wireless networks. While the THz communication i…
Reinforcement Learning for Mitigating Intermittent Interference in Terahertz Communication Networks
Reza Barazideh, Omid Semiari, Solmaz Niknam +1
Emerging wireless services with extremely high data rate requirements, such as real-time extended reality applications, mandate novel solutions to further increase the capacity of…
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms
Tengchan Zeng, Omid Semiari, Mohammad Mozaffari +3
Unmanned aerial vehicle (UAV) swarms must exploit machine learning (ML) in order to execute various tasks ranging from coordinated trajectory planning to cooperative target recogni…
Dependence Control for Reliability Optimization in Vehicular Networks
Tengchan Zeng, Omid Semiari, Walid Saad +1
Vehicular networks will play an important role in enhancing road safety, improving transportation efficiency, and providing seamless Internet service for users on the road. Reaping…
Serverless Edge Computing for Green Oil and Gas Industry
Razin Farhan Hussain, Mohsen Amini Salehi, Omid Semiari
Development of autonomous and self-driving vehicles requires agile and reliable services to manage hazardous road situations. Vehicular Network is the medium that can provide high-…
Robust Resource Allocation Using Edge Computing for Vehicle to Infrastructure (V2I) Networks
Anna Kovalenko, Razin Farhan Hussain, Omid Semiari +1
Development of autonomous and self-driving vehicles requires agile and reliable services to manage hazardous road situations. Vehicular Network is the medium that can provide high-…
Wireless Communications and Control for Swarms of Cellular-Connected UAVs
Tengchan Zeng, Mohammad Mozaffari, Omid Semiari +3
By using wireless connectivity through cellular base stations (BSs), swarms of unmanned aerial vehicles (UAVs) can provide a plethora of services ranging from delivery of goods to…
Hairy black holes, boson stars and non-minimal coupling to curvature invariants
Y. Brihaye, L. Ducobu
The Einstein-Klein-Gordon Lagrangian is supplemented by a non-minimal coupling of the scalar field to specific geometric invariants : the Gauss-Bonnet term and the Chern-Simons ter…
Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks
Mingzhe Chen, Omid Semiari, Walid Saad +2
In this paper, the problem of enhancing the virtual reality (VR) experience for wireless users is investigated by minimizing the occurrence of breaks in presence (BIP) that can det…
Optimized Path Planning for Inspection by Unmanned Aerial Vehicles Swarm with Energy Constraints
Momena Monwar, Omid Semiari, Walid Saad
Autonomous inspection of large geographical areas is a central requirement for efficient hazard detection and disaster management in future cyber-physical systems such as smart cit…
Ultra Reliable, Low Latency Vehicle-to-Infrastructure Wireless Communications with Edge Computing
Md Mostofa Kamal Tareq, Omid Semiari, Mohsen Amini Salehi +1
Ultra reliable, low latency vehicle-to-infrastructure (V2I) communications is a key requirement for seamless operation of autonomous vehicles (AVs) in future smart cities. To this…
Joint Communication and Control for Wireless Autonomous Vehicular Platoon Systems
Tengchan Zeng, Omid Semiari, Walid Saad +1
Autonomous vehicular platoons will play an important role in improving on-road safety in tomorrow's smart cities. Vehicles in an autonomous platoon can exploit vehicle-to-vehicle (…
Integrated Millimeter Wave and Sub-6 GHz Wireless Networks: A Roadmap for Joint Mobile Broadband and Ultra-Reliable Low-Latency Communications
Omid Semiari, Walid Saad, Mehdi Bennis +1
Next-generation wireless networks must enable emerging technologies such as augmented reality and connected autonomous vehicles via wide range of wireless services that span enhanc…
Spatial Motifs for Device-to-Device Network Analysis in Cellular Networks
Tengchan Zeng, Omid Semiari, Walid Saad +1
Device-to-device (D2D) communication is a promising approach to efficiently disseminate critical or viral information. Reaping the benefits of D2D-enabled networks is contingent up…
Spatio-Temporal Motifs for Optimized Vehicle-to-Vehicle (V2V) Communications
Tengchan Zeng, Omid Semiari, Walid Saad
Caching popular contents in vehicle-to-vehicle (V2V) communication networks is expected to play an important role in road traffic management, the realization of intelligent transpo…
Mobility Management for Heterogeneous Networks: Leveraging Millimeter Wave for Seamless Handover
Omid Semiari, Walid Saad, Mehdi Bennis +1
One of the most promising approaches to overcome the uncertainty and dynamic channel variations of millimeter wave (mmW) communications is to deploy dual-mode base stations that in…
Performance Analysis of Integrated Sub-6 GHz-Millimeter Wave Wireless Local Area Networks
Omid Semiari, Walid Saad, Mehdi Bennis +1
Millimeter wave (mmW) communications at the 60 GHz unlicensed band is seen as a promising approach for boosting the capacity of wireless local area networks (WLANs). If properly in…