Wrasse: Riding Millimetre Radio Waves at Gigabit-per-second Speeds

The number of mobile-connected devices is rapidly increasing and bandwidth-intensive applications with very-low latency requirements, such as ultra-high definition television (4K video), remote medical services and smart transportation systems, are expected to dominate the Internet traffic demand by 2020. To support such services, future 5th generation mobile (5G) networks will harness millimetre-wave radio frequencies. Ofcom has recently made available in the UK on a licence exempt basis a 6.8GHz width spectrum block in the 60GHz band, that is suitable for very-high speed short-range wireless systems.


This project seeks to explore the potential of wireless networks that operate in the 60GHz frequency-band to achieve Gb/s data-rates. The problems we are currently investigating include 802.11ad performance analysis, resource allocation, and small cell backhauling. We are also interested in heterogeneous systems that combine millimetre-wave technology with traditional Wi-Fi operating in the 2.4 and 5GHz bands.


We are building a test bed using commercial off-the-shelf embedded computers equipped with wireless gigabit network interface cards, to facilitate prototype validation under a broad range of traffic conditions.


  • R. Li, P. Patras, "WiHaul: Max-Min Fair Wireless Backhauling over Multi-Hop Millimetre-Wave Links", in Proceedings of the 3rd ACM Workshop on Hot Topics in Wireless (HotWireless), New York City, NY, USA, Oct. 2016, DOI: 10.1145/2980115.2980133. [PDF] [BibTeX]
  • G.H. Sim, R. Li, C. Cano, D. Malone, P. Patras, J. Widmer, "Learning from Experience: Efficient Decentralized Scheduling for 60GHz Mesh Networks", to appear in Proceedings of IEEE 17th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Lisbon, Portugal, June 2016. [PDF] [BibTeX]


Rui Li (Ph.D.), The University of Edinburgh.


We are collaborating with the University of Brescia, IMDEA Networks Institute, Hamilton Institute Ireland, Inria, and Trinity College Dublin.


This research is partially funded by the University of Edinburgh Development Trust through an Innovative Initiative Grant.