Wireless signal processing and computing architectures
This research pushes the boundaries of next-generation wireless systems by delivering鈥痯ractical, energy-efficient, and ultra-low-latency solutions鈥痶hat perform not only in theory but in demanding real-world environments. Sitting at the nexus of鈥痑dvanced signal processing,鈥痳evolutionary computing architectures, and鈥痗utting-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鈥痵calable, intelligent, and resilient 6G-and-beyond networks鈥痗apable 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 鈥淒igiLogue,鈥 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 ), we demonstrate substantial theoretical and practical advancements for both terrestrial and non-terrestrial wireless networks (NTN).
Research projects
Principal investigator: Professor Konstantinos Nikitopoulos
Start date: March 2024
End date: March 2025
News highlights
Get in contact
If you are interested in this research or have a query then please contact the project lead.
Professor Konstantinos Nikitopoulos
Project lead for Wireless Signal Processing and Computing Architectures
Research areas
Take a look at the other research areas we are working on.
