NDLI: Power allocation for energy efficiency maximization in DAS with hybrid rate constraint

Content Provider	IEEE Xplore Digital Library
Author	Jianwei Liu Wei Guan Jiang Wu Zhen Tian Wanli Li
Copyright Year	2015
Description	Author affiliation: Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China (Jianwei Liu; Wei Guan; Jiang Wu; Zhen Tian; Wanli Li)
Abstract	In this paper, we investigate the power allocation for energy efficiency (EE) maximization in distributed antenna systems (DAS) constrained by the hybrid minimum rate requirement. The optimization problem to maximize EE is non-convex. However, an equivalent convex optimization problem can be obtained from the original non-convex optimization problem using nonlinear fractional programming. Due to the convexity of the transformational problem, the solution gap approaches to zero when compared with its dual problem. Consequently, an iterative power allocation algorithm can be derived by solving the Karush-Kuhn-Tucker conditions of the dual problem. Simulation results demonstrate that the EE performance of the proposed algorithm outperforms rate adaptive power allocation scheme.
Starting Page	1654
Ending Page	1658
File Size	235254
Page Count	5
File Format	PDF
e-ISBN	9781467367820
DOI	10.1109/PIMRC.2015.7343564
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Resource management Ports (Computers) Optimization Power demand Mobile communication Convex functions Programming distributed antenna systems Energy efficiency power allocation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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