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• W2609132119 abstract "In this paper, we propose an energy-efficient power allocation scheme for the downlink multiuser distributed antenna systems. The objective is to maximize the energy efficiency (EE) under the constraints on per-antenna transmit power and proportional data rates among users. Since EE function is typically defined in fractional form, it is computationally complex to optimize the EE directly. We first convert the nonlinear fractional problem into an equivalent but better tractable problem, based on which we derive an iterative algorithm to obtain the global optimum of the considered problem. On top of being optimal, the solution is also lightweight since only a single-variable nonlinear equation needs to be solved. Furthermore, we can flexibly switch to another mode of operation which delivers relatively higher spectral efficiency (SE) at the expense of losing EE. Numerical simulations and complexity analysis validate that the proposed scheme achieves much higher SE and EE performance with stricter satisfaction of the proportional rate constraints and lower complexity, compared to the state-of-the-art scheme in literature." @default.
• W2609132119 created "2017-05-05" @default.
• W2609132119 creator A5007738886 @default.
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• W2609132119 date "2017-06-01" @default.
• W2609132119 modified "2023-09-23" @default.
• W2609132119 title "Energy-Efficient Power Allocation for Distributed Antenna Systems With Proportional Fairness" @default.
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• W2609132119 doi "https://doi.org/10.1109/tgcn.2017.2697452" @default.
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