Beamforming for per-antenna power constrained downlink SINR optimization

Tai Liu, Songtao Lu, Meng Zheng

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

2 Scopus citations


Most of previous researches in Multiple-Input- Multiple-Output (MIMO) downlink beamforming based on uplink-downlink duality assume sum power constraints. However, the powers of antennas are limited individually in realistic implementations. Per-antenna power constrains are considered in this paper. In the uplink-downlink duality, it is shown the noise power at uplink receive antennas are dual to the weights of downlink transmit antenna powers. Therefore, the noise vector can be applied to adjust transmit antenna powers. Uplink-downlink duality and the noise vector controlled scheme are adopted to update beamformers to optimize the SINR vector. Though the problem is nonconvex, the proposed algorithm could converge to a sub optimal local solution. Simulations show the algorithm effectively control antenna powers during the optimization.

Original languageEnglish (US)
Title of host publication2010 IEEE 71st Vehicular Technology
StatePublished - Jul 30 2010
Event2010 IEEE 71st Vehicular Technology Conference, VTC 2010-Spring - Taipei, Taiwan, Province of China
Duration: May 16 2010May 19 2010

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Other2010 IEEE 71st Vehicular Technology Conference, VTC 2010-Spring
Country/TerritoryTaiwan, Province of China


Dive into the research topics of 'Beamforming for per-antenna power constrained downlink SINR optimization'. Together they form a unique fingerprint.

Cite this