The ongoing proliferation of wireless broadband data services is expected to lead to increased demand on the backhaul networks. These networks transfer data between wired Internet and communication nodes from which end users are connected by radio links.
The typical upgrade of wired lines to high-speed fibre networks is not always an available or economically attractive solution for the backhaul networks. In such cases, wireless approaches could offer an appealing alternative. We propose the design of reconfigurable multi-antenna, multihop wireless backhaul networks that meet the Quality of Service demands of high-speed access networks, thus providing a technology shortcut to help satisfy the social need for broadband data anytime anywhere in a much more expeditious way for European users, including those in less developed, peripheral and rural areas.
In order to provide cost-efficient wireless backhaul with low deployment costs and flexible provisioning, the proposed approach relies on an adaptive, mesh multihop networking multihop design (commonly known as mesh networking) that makes use of channel state information and interference optimised resource allocation and routing. A range of novel techniques, such as intelligent antenna or MIMO (Multiple-Input-Multiple-Output)-enabled routing and jointly optimised scheduling and routing, allow for efficient and dynamic network management, control and protocol designs, which can improve Quality of Service and revolutionalise network resilience, deployability and adaptability.
Since wireless broadband access networks employ several technologies, the proposed backhaul network is designed to match these heterogeneous networks such that it can work in an agnostic way with respect to the employed access technology. The potential performance gains of the new backhaul network will be assessed through theoretical studies, simulations and proof-of-concept prototyping and demonstration.
Fields of science
Funding SchemeSTREP - Specific Targeted Research Project
SN5 6PP Swindon, Wiltshire