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eess.SP2019
On the Rates of Convergence in Learning of Optimal Temporally Fair Schedulers
Farhad Shirani, Shahram Shahsavari, Elza Erkip
Multi-user schedulers are designed to achieve optimal average system utility (e.g. throughput) subject to a set of fairness criteria. In this work, scheduling under temporal fairne…
eess.SP2018
A General Framework for Temporal Fair User Scheduling in NOMA Systems
Shahram Shahsavari, Farhad Shirani, Elza Erkip
Non-orthogonal multiple access (NOMA) is one of the promising radio access techniques for next generation wireless networks. Opportunistic multi-user scheduling is necessary to ful…