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Practical Power Allocation for Cooperative Distributed Antenna Systems

Wei FENG, Yanmin WANG, Yunzhou LI, Shidong ZHOU, Jing WANG

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Wei FENG
State Key Laboratory on Microwave and Digital Communications, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University
Yanmin WANG
State Key Laboratory on Microwave and Digital Communications, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University
Yunzhou LI
State Key Laboratory on Microwave and Digital Communications, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University
Shidong ZHOU
State Key Laboratory on Microwave and Digital Communications, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University
Jing WANG
State Key Laboratory on Microwave and Digital Communications, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University

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Keywords:distributed antenna system (DAS),practical power allocation,lowSNR,highSNR,inter-cluster interference

JOURNALRESTRICTED ACCESS

2010 Volume E93.BIssue 9Pages 2424-2427

DOIhttps://doi.org/10.1587/transcom.E93.B.2424

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Published: September 01, 2010Received: March 31, 2010Available on J-STAGE: September 01, 2010Accepted: -Advance online publication: -Revised: -

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Abstract

In this letter, we address the problem of downlink power allocation for the generalized distributed antenna system (DAS) with cooperative clusters. Considering practical applications, we assume that only the large-scale channel state information is available at the transmitter. The power allocation scheme is investigated with the target of ergodic achievable sum rate maximization. Based on some approximations and the Rayleigh Quotient Theory, the simple selective power allocation scheme is derived for the lowSNR scenario and the highSNR scenario, respectively. The methods are applicable in practice due to their low complexity.

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