Neighbour and network discovery in cognitive radio networks: research activities and results in the ACROPOLIS Network of Excellence

摘要

Cognitive radio networks operation relies on the capability to gather information about the surrounding environment, as regards both internal network status (presence and capabilities of other devices belonging to the same network) and external systems potentially coexisting with the cognitive network. In particular, retrieving information at the local level is a function required to all wireless networks, and goes under the name of neighbour discovery. Under this aspect, cognitive networks make no exception. Similarly, cognitive networks share with traditional wireless networks the necessity of a function for retrieving and exchanging information on a network wide scale, referred to in the following as network discovery. The definition of efficient neighbour and network discovery strategies for cognitive networks, taking into account their specific characteristics, is one of the goals of the research activities undergoing within the framework of the ACROPOLIS NoE. In this work, neighbour and network discovery solutions currently under investigation within the ACROPOLIS joint research activities are presented, and future research lines are identified. The paper first presents algorithms and results on neighbour discovery and Medium Access Control, and moves then to network wide protocols by presenting the work carried out in ACROPOLIS on routing for underlay cognitive networks. The paper provides then an overview on the common simulation platform developed within ACROPOLIS to investigate neighbour and network discovery, and finally discusses future research directions on such topics.