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• W2101092011 abstract "In this paper, we formulate resource allocation and scheduling for multi-cell orthogonal frequency division multiple access (OFDMA) systems with half-duplex decode-and-forward (DF) relaying as a joint optimization problem taking into account multi-cell interference and heterogeneous user data rate requirements. For efficient multi-cell interference mitigation, we incorporate a time slot allocation strategy into the problem formulation. We transform the resulting non-convex and combinatorial optimization problem into a standard convex problem by imposing an interference temperature constraint, which yields a lower bound for the original problem. Subsequently, the transformed optimization problem is solved by dual decomposition and a semi-distributed iterative resource allocation algorithm with closed-form power and subcarrier allocation policies is derived to maximize the average weighted system throughput (bit/s/Hz/base station). Simulation results illustrate that our proposed semi-distributed algorithm achieves practically the same performance as the centralized optimal solution of the original non-convex problem and provides a substantial performance gain compared to single-cell resource allocation and scheduling schemes." @default.
• W2101092011 created "2016-06-24" @default.
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• W2101092011 creator A5086208092 @default.
• W2101092011 date "2011-07-01" @default.
• W2101092011 modified "2023-09-23" @default.
• W2101092011 title "Resource Allocation and Scheduling in Multi-Cell OFDMA Systems with Decode-and-Forward Relaying" @default.
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• W2101092011 doi "https://doi.org/10.1109/twc.2011.042211.101183" @default.
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