BER Analysis of Different Lattice Reduction Aided Multi User-Massive MIMO Detection Techniques

The escalating demand for higher data rate and to provide service to multiple users simultaneously has increased the challenge of efficient spectrum utilization. The two important technologies required in 5G is Mmwave and Massive MIMO to use the benefit of wider bandwidth of mmwave and to mitigate interference using Massive MIMO Technology. In this paper we compare the BER (Bit Error Rate) of different LR (Lattice Reduction) aided Massive MIMO detection technique at 28GHz frequency. We use the QR decomposition as a preprocessing step in the entire MIMO detector. LRA (Lattice Reduction Aided) detectors performance-complexity tradeoff factor δ, (δ=3/4). Scattering Channel Model is used with 100 numbers of scatterers. We employ the different MIMO configuration, modulation techniques, multiple number of users, single and multiple data stream per user to compare and analyze the BER (Bit Error Rate) results. The results are analyzed for Brun's algorithm, Lenstra Lenstra Lovasz (LLL) algorithm, Complex LLL(CLLL) algorithm, Fixed Complexity LLL (fc-LLL) Algorithm, Efficient LLL(ELLL) Algorithm, Possible Swap LLL Algorithm (PSLLL), Greedy LLL algorithm, and LLL-MMSE algorithm.