Machine Learning
Learning-Based Multiuser Scheduling in MIMO-OFDM Systems with Hybrid Beamforming
We investigate the multiuser scheduling problem in multiple-input multiple-output (MIMO) systems using orthogonal frequency division multiplexing (OFDM) and hybrid beamforming in which a base station (BS) communicates with multiple users…
Read moreOptimizing Effectiveness-Aware Information Exchange for Goal-Oriented Semantic Communication
The traditional maximalist approach to designing communication systems is increasingly misaligned with today's evolving connectivity demands. Cyber-physical systems require a shift toward real-time multimodal communication, autonomous decision-making, and efficient distributed…
Read morePull-Based Query Scheduling for Goal-Oriented Semantic Communication​
This paper addresses query scheduling for goal-oriented semantic communication in pull-based status update systems. We consider a system where multiple sensing agents (SAs) observe a source characterized by various attributes…
Read moreIntegrated Push-and-Pull Update Model for Goal-Oriented Effective Communication​
This paper studies decision-making for goal-oriented effective communication. We consider an end-to-end status update system where a sensing agent (SA) observes a source, generates and transmits updates to an actuation…
Read more