**4.2. Performance evaluation**

In this section we will highlight the importance of Precoding for MU-MIMO and showcase the performance of the proposed PA-SLNR-FKT scheme in two scenarios – scenario 1, single cell MU-MIMO where there is no interference from other cell and scenario 2 of multi-cell process‐ ing (MCP) where there is multicell interference and the objective is to make use of multiple antennas in all basestation cooperatively to improve the overall system performance. We use both basic assumptions and a typical simplified WiMAX physical layer Standard discrete channel Models for the Monte-Carlo simulation. Firstly, with basic assumptions we provide comparative performance evaluation results of the proposed MU-MIMO Precoder and the PU-SLNR maximization techniques using GEVD and GSVD proposed in [34, 58]. The comparison is done in terms of average received BER and output received SINR outage performance metrics. In each simulation setup, the entries of *kth* user MIMO channel **H***k* is generated as complex white Gaussian random variables with zero mean and unit variance. The users data


**Table 1.** Narrowband MU-MIMO System Configuration Summary

symbol vectors are modulated and spatially multiplexed at the base station. At the receivers, matched filter is used to decode each user's data. Detailed summary of the MU-MIMO-BC system configuration parameters are given in table (1).
