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Energy Efficient Power Allocation Scheme for Downlink Distributed Antenna System in Composite Fading Channel

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Abstract

In this paper, the energy efficiency (EE) of downlink distributed antenna system is investigated over composite fading channel including the path loss, shadow fading and Rayleigh fading, where both the static and dynamic circuit power consumptions are considered. Under the constraint of maximum transmit power of each remote antenna, our aim is to maximize the EE which is defined as the ratio of the transmission rate to the total consumed power to obtain effective power allocation (PA). According to the definition of EE, the optimized objective function is firstly formulated, and then utilizing the properties of fractional programming theory, the non-convex optimization problem in fractional form is transformed into an equivalent convex optimization problem in subtractive form, which makes the optimized problem become easy to handle. Based on this, using the Karush–Kuhn–Tucker conditions and mathematical calculation, an optimal energy efficient PA scheme is derived. Compared to the existing optimal schemes based on exhaustive search and the iterative calculation, this scheme may provide closed-form calculation of PA coefficients, and thus the computation complexity is lower. Moreover, it can obtain the EE performance identical to the existing optimal schemes. Simulation results verify the effectiveness of the proposed scheme.

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Acknowledgements

This work is supported by National Natural Science Foundation of China (61571225, 61172077), QinLan Project of Jiangsu, Foundation of Graduate Innovation Center in NUAA (kfjj20150410), Fundamental Research Funds for the Central Universities.

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Correspondence to Xiangbin Yu.

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Yu, X., Wang, Y., Wang, H. et al. Energy Efficient Power Allocation Scheme for Downlink Distributed Antenna System in Composite Fading Channel. Wireless Pers Commun 96, 6161–6173 (2017). https://doi.org/10.1007/s11277-017-4470-2

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Keywords

  • Distributed antenna system
  • Energy efficiency
  • Power allocation
  • Composite fading channel
  • Fractional programming