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- W2123918851 abstract "Adaptive Radio Resource Allocation mechanisms exploiting the inherent frequency selectivity of the wireless medium as well as the multi-user effect are expected to play a key role in emerging next generation OFDMA-based wireless networks. Although a plethora of studies concerning either constant/guaranteed bit rate (CBR/GBR) or variable bit rate/best effort (VBR/BE) traffic has been published to date, limited amount of work has been devoted to the mixed OFDMA-centric GBR-BE data traffic problem. In this paper we attempt to deal with the specific heterogeneous allocation problem, which mathematically is formulated as a large-scale combinatorial optimization problem, in the context of the downlink of a SISO-OFDMA single-cell network. The contribution of our work is twofold: first, the fundamental trade-off of power and subcarriers utilization regarding the GBR-class users is thoroughly examined through a multi-objective evolutionary optimization framework. Secondly, an approximated yet effective resource allocation algorithm is devised that solves the mixed traffic problem utilizing zeroth-order methods from classical optimization theory. The presented concepts are accompanied by several simulation results." @default.
- W2123918851 created "2016-06-24" @default.
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- W2123918851 date "2008-10-01" @default.
- W2123918851 modified "2023-09-26" @default.
- W2123918851 title "Adaptive Single-Cell OFDMA Resource Allocation for Heterogeneous Data Traffic" @default.
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- W2123918851 doi "https://doi.org/10.1109/wimob.2008.25" @default.
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