Document Type
Journal Article
Publication Title
IEEE Open Journal of the Communications Society
Publisher
IEEE
School
School of Engineering / Centre for Communications and Electronics Research
RAS ID
32725
Abstract
The cognitive radio (CR) technique has revealed a novel way of utilizing the precious radiospectrum via allowing unlicensed users to opportunistically access unutilized licensed bands. Using sucha technique enables agile and flexible access to the radio spectrum and can resolve the spectrum-scarcityproblem and maximize spectrum efficiency. However, two major impediments have been limiting thewidespread adoption of cognitive radio technology. The software-defined radio technology, which is theenabling technology for the CR technique, is power-hungry and this raises a major concern for battery-constrained devices such as smart phones and laptops. Secondly, the opportunistic and open nature ofthe CR can lead to major security concerns about the data being sent and how safe it is. In this paper,we introduce an energy-and-security-aware CR-based communication approach that alleviates the powerconsumption of the CR technique and enhances its security measures according to the confidentialitylevel of the data being sent. Furthermore, the proposed approach takes into account user-related factors,such as the user’s battery level and user’s data type, and network-related factors, such as the number ofunutilized bands and vulnerability level and then models the research question as a constrained optimizationproblem. Considering the time complexity of the optimum solution, we also propose a heuristic solution.We examine the proposed solution against existing solutions, and our obtained results show that theproposed approach can save energy consumption up to 18%, increase user throughput up to 20%, andachieve better spectrum utilization, up to 98%. Our proposed admission approach has the potential toopen a new research direction towards safer and greener cognitive radio techniques.
DOI
10.1109/OJCOMS.2020.3009241
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Comments
Khaled, H., Ahmad, I., Habibi, D., & Phung, Q. V. (2020). A secure and energy-aware approach for cognitive radio communications. IEEE Open Journal of the Communications Society, 1, 900-915. https://doi.org/10.1109/OJCOMS.2020.3009241