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• W2754605718 abstract "Increasing spectral and energy efficiency in future networks requires flexible and timely allocation of radio resources along multiple dimensions including frequency, time and space. Although this multi-dimensionality offers additional degrees of freedom, it however comes at the cost of higher complexity. To this end, it is envisaged that spatial information associated with user resource allocation will provide a means for an efficient utilization of a dense radio access network (RAN) infrastructure in a proactive and self-optimized manner. In this paper, we propose a novel approach that aims at the utilization of multi-dimensional (MD) radio service maps (RSM) for storing and exploiting position-based information. Requirements, key concepts and functions are described. The potential gains in energy consumption and efficiency of the radio service maps are shown by means of numerical results for an ultra-dense network deployment scenario." @default.
• W2754605718 created "2017-09-25" @default.
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• W2754605718 date "2017-06-01" @default.
• W2754605718 modified "2023-10-13" @default.
• W2754605718 title "Multi-dimensional radio service maps for position-based self-organized networks" @default.
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• W2754605718 doi "https://doi.org/10.1109/camad.2017.8031530" @default.
• W2754605718 hasPublicationYear "2017" @default.
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