Design and Analysis of Novel Precoding Scheme for LSAS Using Power Allocation

In this paper, we analyze the ergodic spectral efficiency upper bound of a large-scale MIMO and the key technologies, we derive approximations of achievable rates with linear precoding techniques, namely Zero Forcing (ZF), Matched Filtering (MF), Eigen-Beam Forming (EBF) and Regularized Zero-Forcing (RZF). We further show that a simple EBF precoding scheme can achieve the same performance as RZF with one order of magnitude fewer antennas. Our simulation results show that our proposal is a better precoding scheme than the conventional scheme. Also, we have used one channel environment channels given as Millimeter wave Mobile Broadband (MMB) channel. 1. System Model and Problem Formulation The composite K×1 vector y received by the users can be represented by Through pre-coding at the transmit side we have 1.1. Precoding Schemes The channel matrix from the BTS to K multiple UTs can be written as With channel fading, the received signal at all UTs can be expressed as, and, the received signal for UT k can be written as The received SINR for UT k can be given as and Spectrum Efficiency (SE), for UT k can be given as the total Spectrum Efficiency SE achieved by all UTs can be expressed as 1.1.1 ZF Precoder