Skip to content

Dr Vaia KalokidouMEng, PhD

Senior Research Associate

Vaia Kalokidou

Dr Vaia KalokidouMEng, PhD

Senior Research Associate

Member of

Research interests

Vaia has graduated from the University of Reading in 2005 with an MEng in Electronic Engineering. Her final year project was based on WPANs ("Development of high level functions in a UWB system"). In 2011, she started her studies on the CDT in Communications 4-year programme at the University of Bristol. She has completed her PhD in October 2015, on "Interference Management Techniques for 5G Networks" in collaboration with NEC.

Since December 2015, she has been working as a Senior Research Associate on the H2020 5G-Xhaul project, focusing on mm-Wave technology for access/backhaul/fronthaul of 5G networks, specialising on beamforming techniques and signal processing. On top of that, her research also involves the determination of achievable throughput for vehicular communications (trains) in mm-Wave frequencies.

Post-Doc Research:

Her research has been focusing on signal processing and beamforming techniques for 5G mm-Wave networks. She has been conducting theoretical workm and also performing several fiels trial tests on investigating achivable throughput and channel behaviour, in mmWave frequencies, in both static and mobile networks.

PhD Reserach:

As wireless networks become more and more popular, the demand on higher data rates is increasing, leading to the need for the development of faster and more efficient and reliable systems. Furthermore, as the number of wireless links is getting higher, it is essential to find new ways to wirelessly access environments where the presence of interference is significant due to the large number of users in the network. Therefore, a more cognitive approach to wireless access is required to deal with interference under any circumstances. One of the key aspects, and most probably one of the main challenges, towards this direction, would be the amount of collaboration between the nodes, i.e. the information available about the channel at the receiver and the transmitter.

Recently, the idea of Interference Alignment strategies has been proposed. Interference Alignment is a cooperative interference management technique that exploits the availability of multiple signaling dimensions, which are provided by multiple antennas. According to current research, theoretically and under the assumption that perfect Channel State Information (CSI) exists at both ends of communication links, the approach of Interference Alignment can provide wireless networks with extremely high capacity and quality of service. In particular, it allows every user to transmit at a data rate equal to the half of their interference-free channel capacity, allowing the network’s sum capacity to increase linearly, with no bound, with the size of the network.

The general objectives of the PhD involve the development of signal processing algorithms for high capacity small cell wireless networks, so as to enhance the energy and system spectrum efficiency. Therefore, the study and exploitation of the statistical nature of the interference will be a key aspect for the development of the project, potentially resulting in novel methodologies on interference mitigation.


View research connections

Postal address:
Merchant Venturers Building
Woodland Road
United Kingdom