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- W2160202357 abstract "Cross layer optimization based on utility functions has been recently studied extensively, meanwhile, numerous types of utility functions have been examined in the corresponding literature. However, a major drawback is that most utility functions take a fixed mathematical form or are based on simple combining, which can not fully exploit available information. In this paper, we formulate a framework of cross layer optimization based on Adaptively Weighted Utility Functions (AWUF) for fairness balancing in OFDMA net- works. Under this framework, a two-step allocation algorithm is provided as a sub-optimal solution, whose control parameters can be updated in real-time to accommodate instantaneous QoS constrains. The simulation results show that the proposed algorithm achieves high throughput while balancing the fairness among multiple users. Keywords—OFDMA, Fairness, AWUF, QoS." @default.
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- W2160202357 date "2007-06-24" @default.
- W2160202357 modified "2023-10-16" @default.
- W2160202357 title "Cross Layer Optimization for Fairness Balancing Based on Adaptively Weighted Utility Functions in OFDMA Systems" @default.
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- W2160202357 doi "https://doi.org/10.5281/zenodo.1080510" @default.
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