Here a simple MRC based Detection method for Massive MIMO is given. In general the Massive MIMO has asymmetric system model. Base station has >100 antennas, while users has 1 or 2 antennas. In that case, the channel model is asymmetric NrxNt ( for ex. for 2 users with one antenna and BS has 100 antenna, H is 100x2). In such a case, Instead of estimating he whole H matrix and applying ZF, one has to just determine the particular channel coefficients between user and the BS and Apply MRC. Due to Law of Large numbers, the autocorrelation of channel vector (Here, 100x1 for user 1) results in 1 , while it's cross correlation with channel coefficient vector of user 2 results almost in zero value (Two large random vectors have almost zero cross correlation). Thus a simple MRC works for Asymmetric Massive MIMO model. Here a code showing above method is attached. For symmetrical Massive MIMO models, one can go for LTS(Layered Tabu search, QR based OSIC methods(like QR-MRL, QR-LRL)), which serves the purpose with much scaled down complexity compared to ML or ZF.