Construction and Interpolation of a Multi-frequency Radio Map

Haniz, Azril; Tran, Gia Khanh; Sakaguchi, Kei; Takada, Jun‐ichi; Yamaguchi, Toshihiro; Matsumoto, Tsutomu; Arata, Shintaro

doi:10.1109/icrest.2019.8644474

Cited by 4 publications

(1 citation statement)

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“…In contrast, the bulk of past endeavours have mostly utilized frequency correlation as a means of generating spectrum maps. However, it is important to note that this approach does not provide a guarantee of correctness in the absence of substantial data from the target [1,21,22].…”

Section: Optimization For Prediction Algorithmsmentioning

confidence: 99%

Spectrum map construction optimisation schemes: Sampling and prediction

2024

ACE

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The proliferation of electromagnetic devices presents a significant challenge in developing effective techniques for spectrum monitoring, management, and security. The utilization of spectrum cartography has been acknowledged as a viable approach to address the aforementioned difficulties. This latter presents a variety of techniques aimed at enhancing the efficiency of the current spectrum mapping methodology. The subject matter can be categorized into two primary components, namely sampling and spectrum prediction. Sampling part includes methods to find the most valuable sampling points and methods of sampling hardware optimization. Spectrum prediction includes algorithms utilizing frequency-spatial reasoning techniques to estimate the target spectrum map by data from the nearby area, and algorithms utilizing ROSMP framework to estimate the spectrum map from past data. The introduction of techniques is divided into the 2 types, together with key algorithms and devices used in each method. Additionally, the letter lists some drawbacks of certain methods and discuss their development prospects.

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Section: Optimization For Prediction Algorithmsmentioning

confidence: 99%