Title :
Inverse approximation of linear receivers for massive MIMO
Author :
Alnajjar, Khawla A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Canterbury, Christchurch, New Zealand
Abstract :
To overcome computation complexity due to inverse calculation that occurs when using linear receivers such as zero forcing (ZF) in massive multiple-input-multiple-output (MIMO), we propose a simple approximation method which depends on the maximum element of the diagonal matrix multiplied by a scaling factor that controls its tuning. This method solves other inverse method problems when the system load increases in the presence of the channel correlation.
Keywords :
MIMO communication; approximation theory; computational complexity; correlation methods; inverse problems; matrix inversion; radio receivers; wireless channels; channel correlation; computation complexity; diagonal matrix; inverse approximation method; inverse calculation; linear receivers; massive MIMO technology; massive multiple-input-multiple-output technology; scaling factor; system load; zero forcing; Approximation methods; Correlation; Interference; MIMO; Receivers; Signal to noise ratio; Tuning; MIMO; ZF; massive MIMO; matrix inversion;
Conference_Titel :
Information and Communication Technology Research (ICTRC), 2015 International Conference on
Conference_Location :
Abu Dhabi
DOI :
10.1109/ICTRC.2015.7156464