Specifically, the research behind two papers has involved millimetre-wave band (58-63GHz), which is seen as a perfect candidate for short-range gigabit wireless communications. According to the university, these networks are expected to satisfy the demands of future data-rate hungry applications but few studies have analysed the potential of frequency reuse at 60GHz.
“Both research papers represent an important contribution in the quest to address the ever increasing user demand for higher data rates and capacities,” said Professor Andrew Nix.
“We are fast running out of radio spectrum in the lower frequency bands where cellular and Wi-Fi current operation. As a result we need to exploit high frequencies in future products.”
It seems a technique of polarimetric filtering could increase data capacity of short range wireless networks.
The first paper on gigabit wireless communications could radically enhance the wireless capabilities of future mobile phones and tablets. The research looked at enhanced technologies and algorithms to increase the data capacity and densification of short range wireless networks. The work showed that polarimetric filtering can enable a higher density of active data links. Each millimetre wave link is capable of supporting user rates of up to 7Gbps, with Bristol’s research showing that four simultaneous links could be active in a single room. These data capacities are 100x better than those achieved with current Wi-Fi technologies.
Check out the video below byDjamal Berraki, a PhD student working on the gigabit wireless communications project, demonstrating the capabilities of the simulator.
The other paper considered compressive sensing and the ability to reduce the amount of control data needed to adapt the core network….
The second paper considered beamforming as a solution to provide multi-gigabit connections between the 4G and 5G cellular base stations and the core network. The work also supported direct connections to the users. Here beamforming is used to focus the communication waveforms onto specific mobile phones and tablets.
At present it is common for the data rates in a cellular network to be limited by the link to the core network (known as backhaul). The research proposed an efficient adaptive beamforming algorithm to extend the range and data rate while also reducing interference. The paper used compressive sensing to significantly reduce the amount of control data needed to adapt the network to temporal and spatial changes in the channel.
Paper one: Polarimetric filtering for an enhanced multi-user 60GHz WPAN system, by Djamal Eddine Berraki, Simon Armour, Andrew Nix, PHY11 Session.
Paper two: Application of compressive sensing in sparse spatial channel recovery for beamforming in mmWave outdoor systems, by Djamal Eddine Berraki, Simon Armour, Andrew Nix, PHY29 Session.
Image: An example of mmWave, courtesy of Communication Systems and Networks research group, University of Bristol