Wireless signal processing and computing architectures

This research pushes the boundaries of next-generation wireless systems by delivering practical, energy-efficient, and ultra-low-latency solutions that perform not only in theory but in demanding real-world environments. Sitting at the nexus of advanced signal processing, revolutionary computing architectures, and cutting-edge system-level design, our work bridges elegant mathematical principles with deployable, high-impact technologies. We develop aggressively non-orthogonal transmission strategies, including advanced MIMO and aggressive non-orthogonal multiple access schemes, and lead with a powerful non-linear processing framework that delivers transformative gains for both terrestrial and non-terrestrial networks. From traffic-aware energy-efficient RANs and neuromorphic-inspired architectures to breaking the device-to-satellite communication barrier, our research enables scalable, intelligent, and resilient 6G-and-beyond networks capable of supporting massive machine-type, AI-driven, and extreme-throughput communication demands.

Overview

This research focuses on developing practical solutions that are both energy- and latency-efficient, combining theoretical robustness with substantial, measurable gains in real-world deployments. It lies at the intersection of three critical domains:

Advanced signal processing theory and design, emphasising high-efficiency algorithms tailored to the demands of modern communication systems.
Innovative computing architectures, including unconventional paradigms such as quantum annealing, neuromorphic computing, and “DigiLogue,” designed to meet the stringent real-time and energy constraints of current and future wireless networks
System-level design, prototyping, and evolution, leveraging software-defined methodologies, Open-RAN frameworks, and architectural innovations for 6G and beyond.

The overarching goal is to close the gap between elegant theoretical constructs and practical deployment, enabling scalable, intelligent wireless systems that respond dynamically to the evolving demands of next-generation connectivity.

Among other topics, we focus on the design and implementation of next-generation non-orthogonal transmission networks, including Multi-Input Multi-Output (MIMO) and Aggressive Non-Orthogonal Multiple Access (ANOMA) schemes. Together with our novel non-linear processing framework (see NL-COMM), we demonstrate substantial theoretical and practical advancements for both terrestrial and non-terrestrial wireless networks (NTN).