Investigations on Massive MIMO Performance with Multi-Antenna Users by Ray-Tracing

被引：0

作者：

Taygur, Mehmet Mert ^{[1
]}

Eibert, Thomas F. ^{[1
]}

机构：

[1] Tech Univ Munich, Dept Elect & Comp Engn, Chair High Frequency Engn, Munich, Germany

来源：

2019 IEEE 30TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC) | 2019年

关键词：

GENERALIZED DESIGN;

D O I：

10.1109/pimrc.2019.8904315

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The downlink data rate in a single-cell urban massive MIMO network is evaluated where the scenario comprises a base station with 256 antennas and 64 users each having two antennas. The downlink performance according to three different precoding algorithms, which can exploit multiple antennas at user terminals to improve the performance, are presented. Two different methods are used to generate the channel matrix, in particular, ray-tracing simulations and the WINNER II stochastic channel model, and the resulting downlink performances are compared.

引用

页码：608 / 613

页数：6

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