DocumentCode
2094564
Title
Optimal power allocation for energy efficiency maximization in distributed antenna systems
Author
Heejin Kim ; Sang-Rim Lee ; Changick Song ; Inkyu Lee
Author_Institution
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
fYear
2013
fDate
9-13 June 2013
Firstpage
5769
Lastpage
5773
Abstract
In this paper, we present a power allocation method for a distributed antenna system (DAS) to maximize energy efficiency (EE) which is defined as the ratio of the transmission rate to the total consumed power. Different from conventional EE maximization schemes which require iterative numerical methods, we derive the optimal solution as closed form by solving Karush-Kuhn-Tucker conditions. The obtained closed form expression is applicable to DAS with an arbitrary number of distributed antenna (DA) ports and general per-DA port power constraints, and is also guaranteed to be globally optimum. Through Monte Carlo simulations, we show that the proposed power allocation method produces the optimal average EE identical to exhaustive search with significantly reduced computational complexity. In addition, we demonstrate that DAS is more beneficial in terms of EE compared to conventional antenna systems.
Keywords
Monte Carlo methods; antennas; optimisation; DAS; Karush-Kuhn-Tucker condition; Monte Carlo simulation; distributed antenna system; energy efficiency maximization; exhaustive search; optimal power allocation; power constraint; transmission rate; Antenna arrays; Closed-form solutions; Optimization; Ports (Computers); Resource management; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2013 IEEE International Conference on
Conference_Location
Budapest
ISSN
1550-3607
Type
conf
DOI
10.1109/ICC.2013.6655516
Filename
6655516
Link To Document