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Online prediction of spatial fields for radio-frequency communication | IEEE Conference Publication | IEEE Xplore
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Online prediction of spatial fields for radio-frequency communication


Abstract:

In this paper we predict spatial wireless channel characteristics using a stochastic model that takes into account both distance dependent pathloss and random spatial var...Show More

Abstract:

In this paper we predict spatial wireless channel characteristics using a stochastic model that takes into account both distance dependent pathloss and random spatial variation due to fading. This information is valuable for resource allocation, interference management, design in wireless communication systems. The spatial field model is trained using a convex covariance-based learning method which can be implemented online. The resulting joint learning and prediction method is suitable for large-scale or streaming data. The online method is first demonstrated on a synthetic dataset which models pathloss and medium-scale fading. We compare the method with a state-of-the-art scalable batch method. It is subsequently tested in a real dataset to capture small-scale variations.
Date of Conference: 29 August 2016 - 02 September 2016
Date Added to IEEE Xplore: 01 December 2016
ISBN Information:
Electronic ISSN: 2076-1465
Conference Location: Budapest, Hungary

References

References is not available for this document.