The future 5G networks will be heterogeneous, hosting a variety of technologies and devices. The looming spectrum crunch in radio frequency (RF) spectrum and the inevitable heterogeneity of such networks motivates us to consider optical wireless communications (OWC) as a promising technology to coexist with the already matured RF wireless systems. This can be envisaged in the form of indoor visible light communications that integrates lighting and communications and can be implemented as the so-called LiFi network.
Moreover, the large-scale outdoor deployment of 5G cells will require large expansion of the backhaul network. The most reliable backhaul solution is based on high-speed fiber optic links; however, their use is limited to a fraction of the current backhaul network because of overwhelming installation costs. RF wireless backhaul links at different microwave bands are currently used by several vendors as the main alternative economical solution. However, they can be affected by interference while the capacity of current bands would not be sufficient to support the traffic growth in near future. Again OWC in the form of free-space optical (FSO) communications is an attractive solution that provides high-capacity but cost-effective wireless backhaul connectivity without interfering with RF systems.
In this project, we investigate the efficient design of 5G access and backhaul networks based on OWC solutions in a heterogeneous environment. We, therefore, consider hybrid RF and OWC networks and study their joint resource allocation and performance analysis. To achieve this, we are looking for an enthusiastic and strongly motivated student to join our group who will work along with a diverse range of experts and researchers in IDCOM and LiFi R&D Centre.
Closing Date: 21st December 2018 (or until vacancy filled).
For further information please see here: http://www.research.ed.ac.uk/portal/msafari
Minimum entry qualification - an Honours degree at 2:1 or above (or International equivalent) in a relevant science or engineering discipline, possibly supported by an MSc Degree. The candidate will be expected to have good programming skills (e.g., Matlab) and a good mathematical background.
Further information on English language requirements for EU/Overseas applicants.
Strong candidates may be considered for full EPSRC funding (tuition fees and living costs) - open to UK/EU candidates only.