A Minesweeper Algorithm for Improved Signal Area Estimation in Spectrum Aware Systems

Alammar, Mohammed M ORCID: 0000-0002-4925-5472 and Lopez-Benitez, Miguel ORCID: 0000-0003-0526-6687 (2021) A Minesweeper Algorithm for Improved Signal Area Estimation in Spectrum Aware Systems. In: 2021 28th International Conference on Telecommunications (ICT), 2021-6-1 - 2021-6-3.

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Official URL: http://dx.doi.org/10.1109/ict52184.2021.9511512

Abstract

Signal area estimation is a critical component of spectrum aware systems. It entails determining the subsets of elements of a time-frequency matrix where a signal is present. This study proposes and assesses the potential of a minesweeper algorithm in estimating accurately the signal area. The proposed method can be employed in two ways: as a standalone signal area estimation technique and also as a pre/post-processing technique in combination with other signal area estimation methods in order to correct signal detection errors before applying the other estimation method (pre-processing) and/or errors introduced by the other estimation method itself (post-processing). The performance of the proposed minesweeper algorithm in both application approaches is evaluated by means of software simulations. The obtained results show that, when used as a standalone method, it can provide similar or even better accuracy than other methods at a much lower computational cost. However, the best performance is obtained when used as a pre/post-processing technique in combination with other existing methods, without increasing significantly the total computation time.

Item Type:	Conference or Workshop Item (Unspecified)
Uncontrolled Keywords:	Minesweeper algorithm, signal area estimation, spectrum awareness systems, smart spectrum systems
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	07 May 2021 15:28
Last Modified:	18 Jan 2023 22:49
DOI:	10.1109/ICT52184.2021.9511512
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3121845