access icon free Dynamic backhaul resource allocation in wireless networks using artificial neural networks

© The Institution of Engineering and Technology
Received 07/02/2013, Published

The increasing bandwidth demand of end-users renders the need for efficient resource management more compelling in next generation wireless networks. In the present work, a novel scheme incorporating the deployment of an intelligent agent capable of monitoring, storing, and predicting the forthcoming needs for resources of a base station (BS) is proposed. In this way, the BS can in advance commit the necessary resources for its backhaul connection, guaranteeing the end-user's quality of service. The prediction process is performed using machine learning techniques.

Inspec keywords: resource allocation; telecommunication network management; quality of service; next generation networks; neural nets; telecommunication computing; learning (artificial intelligence)

Other keywords: resource management; end-user quality of service; artificial neural Networks; next generation wireless networks; machine learning techniques; prediction process; intelligent agent; backhaul connection; base station; dynamic backhaul resource allocation

Subjects: Network management; Knowledge engineering techniques; Communications computing; Neural computing techniques; Radio links and equipment

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