A Novel Evaluation Method for the Downlink Capacity of Distributed Antenna Systems

Wei FENG; Yifei ZHAO; Ming ZHAO; Shidong ZHOU; Jing WANG; Minghua XIA

doi:10.1587/transcom.E92.B.2226

Regular Section

A Novel Evaluation Method for the Downlink Capacity of Distributed Antenna Systems

Wei FENG, Yifei ZHAO, Ming ZHAO, Shidong ZHOU, Jing WANG, Minghua XIA

Author information

Wei FENG
State Key Laboratory on Microwave and Digital Communications, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University
Yifei ZHAO
State Key Laboratory on Microwave and Digital Communications, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University
Ming ZHAO
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
Minghua XIA
ETRI Beijing R&D Center

Keywords: distributed antenna system (DAS), downlink capacity, random matrix theory, iterative method

JOURNAL RESTRICTED ACCESS

2009 Volume E92.B Issue 6 Pages 2226-2230

DOI https://doi.org/10.1587/transcom.E92.B.2226

Details

Abstract

This letter focuses on the simplified capacity evaluation for the downlink of a distributed antenna system (DAS) with random antenna layout. Based on system scale-up, we derive a good approximation of the downlink capacity by developing the results from random matrix theory. We also propose an iterative method to calculate the unknown parameters in the approximated expression of the downlink capacity. The approximation is illustrated to be quite accurate and the iterative method is shown to be quite efficient by Monte Carlo simulations.

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