Emerging Networks Laboratory

The Emerging Networks Laboratory (ENL) focus on Knowledge Defined Networks , Beyond 5G Technologies , Fundamentals in Molecular Communication

Beyond 5G Technologies

The saturation of wireless spectrum access is leading to innovations in areas such as spectrum resource usage and massive multiple input multiple output (MIMO) systems. It is widely thought however that the low hanging fruits of innovation for wireless communication are all but exploited with only marginal gains possible. Current 5G standards report maximum throughput capacities of up to 10 Gbps, however this will still not meet capacity needs as we head towards 2025. For a real step change towards the coveted 1Tbps wireless transmission, new areas of the spectrum must be utilized. Under Beyond 5G Technologies, we are working on novel technology to meet future wireless and network capacity demands. These include TeraHertz communication technologies and next generation network technologies.

Projects

People

Alan Davy

Unit Manager

Zeta Dooly

Researcher

Saim Ghafoor

Phd Student

Paul Malone

Researcher

Noureddine Boujnah

Postdoctoral researcher

Ehsan Elahi

Phd research fellow

Sidhant Hasija

Master’s Student

Knowledge Defined Networks

The emergence of virtualisation technologies has revolutionised how services are delivered over the Internet and paved the way for the ‘Software as a Service’ model used within Cloud Computing. This is also revolutionising the telecommunications industry, meaning operators will no longer depend on expensive hardware systems to deliver dedicated network functions. These functions can be virtualised and run on cheap commodity hardware, impacting on the overall cost of network operators’ investments. Commodity hardware can also be distributed geographically and opportunistically to allow improved and customised services to be delivered across a distributed network of compute resources. However, the management and operation of virtualised systems over such infrastructure becomes increasingly more complex. Under Knowledge Defined Networks, we apply novel Artificial Intelligent and Machine Learning techniques to dramatically improve the management of virtualised telecommunication networks and services.

Projects

  • SFI CONNECT

  • SFI TIDA AutoSFC

People

Alan Davy

Unit Manager

Nikita Jalodia

Phd Student

Bernard Butler

Research Fellow

John Byabazaire

MSc student

Genaro Longoria

Phd Student

Dr. Mubashir Rehmani

Post doctoral researcher

Fayaz Akhtar

Phd student