Maximum data rate power allocation for MIMO spatial multiplexing systems with imperfect CSI

Xin Jin*, Haiping Jiang, Jinlong Hu, Yao Yuan, Cuicui Zhao, Jinglin Shi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

In MIMO systems, spatial multiplexing is a powerful technique for increasing channel capacity by transmitting multiple data streams in the same channel simultaneously. Moreover, additional performance can be extracted in the presence of channel state information (CSI) at the transmitter. However, channel estimation error usually exists in practical systems and leads to imperfect CSI. As a result, the system performance is degraded. Fortunately power allocation can mitigate the problem effectively. In this paper, the power allocation problem is investigated in the case of imperfect CSI with accurate system model. A greedy power allocation (GPA) algorithm with adaptive modulation scheme is proposed to maximize the system data rate while satisfying each data stream's bit error rate requirement. Simulation results show that GPA can reduce the effects of imperfect CSI and obtain better performance than other traditional algorithms, e.g. waterfilling and equal power allocation algorithms.

Original languageEnglish
Title of host publicationVTC Spring 2009 - IEEE 69th Vehicular Technology Conference
DOIs
Publication statusPublished - 2009
EventVTC Spring 2009 - IEEE 69th Vehicular Technology Conference - Barcelona, Spain
Duration: 26 Apr 200929 Apr 2009

Other

OtherVTC Spring 2009 - IEEE 69th Vehicular Technology Conference
CountrySpain
CityBarcelona
Period26/04/0929/04/09

Fingerprint Dive into the research topics of 'Maximum data rate power allocation for MIMO spatial multiplexing systems with imperfect CSI'. Together they form a unique fingerprint.

Cite this