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Coordinates-based Resource Allocation Through Supervised Machine Learning
Considering that future wireless technologies will be based on dense network deployment, where the mobile terminals are in line-of-sight of the transmitters, the position information of terminals provides an alternative to estimate the channel condition.
Learning-Based Resource Allocation Scheme for TDD-Based CRAN System
Since, the trajectory of movement for high-mobility users is predictable; therefore, fairly accurate position estimates for those users can be obtained, and can be used for resource allocation to serve the considered users.
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