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Electrical Engineering and Systems Science > Signal Processing

arXiv:1909.04355 (eess)
[Submitted on 10 Sep 2019 ]

Title: Minimization of Sum Inverse Energy Efficiency for Multiple Base Station Systems

Title: 多基站系统求和逆能效最小化

Authors:Zijian Wang, Luc Vandendorpe, Mateen Ashraf, Yuting Mou, Nafiseh Janatian
Abstract: A sum inverse energy efficiency (SIEE) minimization problem is solved. Compared with conventional sum energy efficiency (EE) maximization problems, minimizing SIEE achieves a better fairness. The paper begins by proposing a framework for solving sum-fraction minimization (SFMin) problems, then uses a novel transform to solve the SIEE minimization problem in a multiple base station (BS) system. After the reformulation into a multi-convex problem, the alternating direction method of multipliers (ADMM) is used to further simplify the problem. Numerical results confirm the efficiency of the transform and the fairness improvement of the SIEE minimization. Simulation results show that the algorithm convergences fast and the ADMM method is efficient.
Abstract: 求解一个和逆能效(SIEE)最小化问题。 与传统的和能效(EE)最大化问题相比,最小化SIEE实现了更好的公平性。 本文首先提出一种求解和分式最小化(SFMin)问题的框架,然后使用一种新的变换来解决多基站(BS)系统中的SIEE最小化问题。 在重新表述为多凸问题后,采用交替方向乘子法(ADMM)进一步简化问题。 数值结果证实了变换的有效性以及SIEE最小化带来的公平性提升。 仿真结果表明,该算法收敛速度快,ADMM方法高效。
Subjects: Signal Processing (eess.SP) ; Information Theory (cs.IT)
Cite as: arXiv:1909.04355 [eess.SP]
  (or arXiv:1909.04355v1 [eess.SP] for this version)
  https://doi.org/10.48550/arXiv.1909.04355
arXiv-issued DOI via DataCite

Submission history

From: Zijian Wang [view email]
[v1] Tue, 10 Sep 2019 08:47:27 UTC (110 KB)
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