System architecture in cognitive radio networks using a radio environment map

Abstract

Cognitive Radio (CR) is considered as a promising solution to improve wireless spectrum utilization. Moreover, through optimization frameworks, Radio Resource Management (RRM) procedures are designed to enhance the efficient utilization of resources in CR networks. To face this issue in a holistic perspective, the RRM solutions should take into account not only the optimization task but also their impact on the design task. Thus, in this paper, a system architecture of a novel RRM is proposed for CR networks. In particular, it is fundamental to construct flexible systems to work across heterogeneous systems and help realize their full potential. Therefore, in the proposed system, heterogeneous Primary Users (PUs) with multiple features and variable CR demands are considered. A Radio Environment Map (REM) is used to obtain the required PU features, which are exploited to improve the adaptability in CR networks and, thus, to design an efficient Cognitive RRM. The functionalities of the network elements are described in detail, along with the message exchange to carry out the resource management.

Radio Environment Maps: The Survey of Construction Methods

“…In the current state of the art, REM can be a centralized or distributed integrated information structure [7], which involves various types of information, algorithms and methods developed to support the decision making by a cognitive engine [8]. Besides being used for processing and reasoning, it is also a data storage [9] with modular and extendible structure for collecting and managing comprehensive multi-domain information [10,11] from heterogeneous sources. Furthermore, it is considered as an extension to the available resource map (ARM) [12] as a knowledge base for storing dynamic information related to the radio environment of the wireless systems [13] and a network entity capable of reconfiguring measurement capable devices (MCDs) [4].…”