Multi-Attributes, Utility-Based, Channel Quality Ranking Mechanism for Cognitive Radio Networks
Source abstract
Abstract
Cognitive radio is an intelligent wireless solution that aims to enhance the access to the radio spectrum. In this technology, secondary users sense the radio spectrum, select the best channel among a pool of free channels, and determine the optimal transmission parameters to meet their quality-of-service requirements while maximizing the spectral efficiency. Over the past decade, several channel-ranking mechanisms have been proposed. However, these mechanisms consider only the remaining idle time of the channel and exclude some crucial parameters. This convincingly demonstrates a strong need for a new channel quality-ranking model that jointly considers several parameters to select the best communication channel for transmission. This paper proposes a utility model that integrates several important parameters for ranking channels. First, we underline the importance of the process of the channel quality ranking. Then, we describe a multi-attributes, utility-based, channel quality-ranking model. Finally, we describe a series of experiments and their results, which show that our model effectively ranks the best communication channels first.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Cognitive Radio Networks and Spectrum Sensing · Distributed Sensor Networks and Detection Algorithms · Blind Source Separation Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Electrical Engineering Department, University of North Dakota; Grand Forks, ND 58202, USA; zakaria.elmrabet @und.edu (Z.E.M.); naima.kaabouch@engr.und.edu (N.K.)
Funding
National Science Foundation
References (38)
Show source-provided references
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