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| Short-term predictions about the channel quality of an OFDM permit to improve the efficiency of resource usage. As an example, consider a cellular system that uses OFDM in the downlink. Usually, the various OFDM sub-carriers' quality varies both over time and over mutliple users. If this quality is known in advance, various scheduling techniques can be used to, e.g., maximize the available throughput for all users. It is the goal of this project to investigate algorithms to support such prediction-based sub-carrier scheduling as well as develop architectures, mechanisms, and protocols to implement this concept in real systems.
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