Posted in | News | Signal Processing

Bristol Researchers Present Gigabit Wireless Communications at IEEE WCNC 2014

Research on gigabit wireless communications has been presented by researchers from the University of Bristol at the world’s leading wireless communications and networking conference, IEEE WCNC 2014, in Turkey earlier this week [Monday 6 to Wednesday 9 April].

An example of mmWave. Image courtesy of Communication Systems and Networks research group, University of Bristol, copyright © 2014

The two research papers, led by Andrew Nix, Professor of Wireless Communication Systems and Dr Simon Armour, Senior Lecturer in Software Radio, from the University’s Communication Systems and Networks research group in the Department of Electrical and Electronic Engineering, could have significant implications for the future of mobile devices.

The millimetre-wave band (58-63GHz) is seen as a perfect candidate for short-range gigabit wireless communications. These networks are envisaged to satisfy the demands of future data-rate hungry applications but few studies have analysed the potential of frequency reuse at 60GHz.

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.

802.11ad millimetre wave simulations

Djamal Berraki, a PhD student working on the gigabit wireless communications project, has produced a short video to demonstrate the capabilities of the simulator.

The demand for data access by mobile users is doubling every year and is predicted to continue into the foreseeable future.  This is pushing service providers to deploy denser networks. Also, since the frequency bands used by 3G and 4G services are close to their capacity limits, there is considerable interest in the use of millimetre wave frequencies for 5G cellular networks.

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.

Professor Andrew Nix said: “Both research papers represent an important contribution in the quest to address the ever increasing user demand for higher data rates and capacities. 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.”

Paper one: Polarimetric filtering for an enhanced multi-user 60GHz WPAN system, 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, Djamal Eddine Berraki, Simon Armour, Andrew Nix, PHY29 Session.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.