Title :
Precoder Design in the Presence of Spatial Correlation for Macrocell Environments
Author :
Zhang, Lin ; Zhu, Yuesheng
Author_Institution :
Lab. of Commun. & Inf. Security, Peking Univ., Shenzhen, China
fDate :
7/1/2012 12:00:00 AM
Abstract :
A precoder scheme based on the geometrical propagation model for macrocell environments is proposed. Employing the geometry information, spatial correlation matrices of both link ends are derived in closed-form. With the spatial correlation feedback, a computationally efficient solution is obtained to minimize the Chernoff bound on pairwise error probability (PEP). Simulation results show that the proposed scheme can converge to the solution fast, and the symbol error rate (SER) performance is close to that of the minimum SER upper-bound scheme with lower complexity. For both the cases of two transmit antennas and constant transmit-side correlation, it becomes an optimal precoder of minimizing SER upper-bound.
Keywords :
cellular radio; correlation methods; error statistics; matrix algebra; precoding; transmitting antennas; Chernoff bound minimization; PEP; cellular systems; constant transmit-side correlation; geometrical propagation model; link ends; macrocell environments; minimum SER upper-bound scheme; pairwise error probability; precoder design; spatial correlation feedback; spatial correlation matrices; symbol error rate performance; transmit antennas; Arrays; Channel models; Correlation; Macrocell networks; Resource management; Signal to noise ratio; Upper bound; Geometrically based single bounce macrocell (GBSBM); Multiple-input multiple-output (MIMO); spatial correlation; transmit precoding;
Journal_Title :
Communications Letters, IEEE
Conference_Location :
5/15/2012 12:00:00 AM
DOI :
10.1109/LCOMM.2012.050912.120183