5 citations · 7 across the 14 of their papers we have counts for
16 papers
Asynchronous Cell-Free Wireless Networks
Hossein Maleki, Angel Lozano, Hamid Jafarkhani
This paper introduces intentional symbol-level asynchronicity as an interference-management mechanism for the uplink of cell-free networks. Rather than treating timing offsets as i…
Channel-Estimation-Free Beamforming for RIS-Assisted Systems with Limited Feedback
Hossein Maleki, Hamid Jafarkhani
In this article, we consider received-power maximization in RIS-assisted wireless links using only limited received signal strength (RSS) feedback, avoiding explicit estimation of…
Decentralized Parameter-Free Online Learning with Compressed Gossip
Tomas Ortega, Hamid Jafarkhani
We study decentralized online convex optimization when agents communicate over a graph and messages may be compressed. Classical decentralized online methods typically require lear…
An Encoded Corrective Double Deep Q-Networks for Multi-Agent Control Systems
Mohammadreza Barzegaran, Kemeng Han, Hamid Jafarkhani
This paper studies the synthesis of control policies for heterogeneous and interconnected multi-agent systems that collaborate through data exchange over a communication network to…
UAV Energy Consumption Models for Wireless Systems Research: Model Selection and Misconceptions
Mohammadreza Barzegaran, Hamid Jafarkhani
Uncrewed aerial vehicles (UAVs) are gaining increasing attention in wireless systems, providing new opportunities to expand the reach and improve the quality of wireless services.…
Communication Compression for Distributed Learning with Aggregate and Server-Guided Feedback
Tomas Ortega, Chun-Yin Huang, Xiaoxiao Li +1
Distributed learning, particularly Federated Learning (FL), faces a significant bottleneck in the communication cost, particularly the uplink transmission of client-to-server updat…
Decentralized Parameter-Free Online Learning
Tomas Ortega, Hamid Jafarkhani
We propose the first parameter-free decentralized online learning algorithms with network regret guarantees, which achieve sublinear regret without requiring hyperparameter tuning.…
Dual-Function Radar-Communication Beamforming with Outage Probability Metric
Hossein Maleki, Carles Diaz-Vilor, Ali Pezeshki +2
The integrated design of communication and sensing may offer a potential solution to address spectrum congestion. In this work, we develop a beamforming method for a dual-function…
Mathematical Cell Deployment Optimization for Capacity and Coverage of Ground and UAV Users
Saeed Karimi-Bidhendi, Giovanni Geraci, Hamid Jafarkhani
We present a general mathematical framework for optimizing cell deployment and antenna configuration in wireless networks, inspired by quantization theory. Unlike traditional metho…
Offline Stochastic Optimization of Black-Box Objective Functions
Juncheng Dong, Zihao Wu, Hamid Jafarkhani +2
Many challenges in science and engineering, such as drug discovery and communication network design, involve optimizing complex and expensive black-box functions across vast search…
Communication Compression for Distributed Learning without Control Variates
Tomas Ortega, Chun-Yin Huang, Xiaoxiao Li +1
Distributed learning algorithms, such as the ones employed in Federated Learning (FL), require communication compression to reduce the cost of client uploads. The compression metho…
Quantized and Asynchronous Federated Learning
Tomas Ortega, Hamid Jafarkhani
Recent advances in federated learning have shown that asynchronous variants can be faster and more scalable than their synchronous counterparts. However, their design does not incl…
A Reinforcement Learning Approach for Wildfire Tracking with UAV Swarms
Carles Diaz-Vilor, Angel Lozano, Hamid Jafarkhani
Suitably equipped with cameras and sensors, uncrewed aerial vehicles (UAVs) can be instrumental for wildfire prediction, tracking, and monitoring, provided that uninterrupted conne…
Decentralized Optimization in Time-Varying Networks with Arbitrary Delays
Tomas Ortega, Hamid Jafarkhani
We consider a decentralized optimization problem for networks affected by communication delays. Examples of such networks include collaborative machine learning, sensor networks, a…
Decentralized Optimization in Networks with Arbitrary Delays
Tomas Ortega, Hamid Jafarkhani
We consider the problem of decentralized optimization in networks with communication delays. To accommodate delays, we need decentralized optimization algorithms that work on direc…
Signal Processing and Learning for Next Generation Multiple Access in 6G
Wei Chen, Yuanwei Liu, Hamid Jafarkhani +3
Wireless communication systems to date primarily rely on the orthogonality of resources to facilitate the design and implementation, from user access to data transmission. Emerging…