Design and Analysis of a Modified Lattice Reduction Based Massive MIMO Receiver

Abstract

Wireless communication has become an integral element of the lives of millions of people. Propagation losses, which are larger at very high frequencies, are one of the most typical issues that come to mind. Massive multiple-input multipleoutput (MIMO) is one of the most promising technologies for the future generation of wireless communication networks because it has the ability to achieve increasingspectral efficiency (SE) and channel capacity while also reducing complexity. To take use of these advantages, however, proper MIMO detectors are required. We focused on the Lattice reduction method in our proposed work, which is combined with MIMO Equalizers to create a new receiver detection method.Lattice reduction (LR) based detectors have sparked a lot of attention among other MIMO detectors due to their good performance and low complexity in practice.LLL (Lenstra-Lenstra-Lovasz) is a popular LR algorithm with a good complexity performance tradeoff. One drawback with the LLL algorithm is that the column swap newlinemay not occur in all LLL iterations, resulting in inefficiency because the number of newlinecolumn swaps determines the run-time. We have modified the LLL algorithm in size newlinereduction operation to make it a relaxed size reduction. In the proposed relaxed size newlinereduction based LLL algorithm most of the size reduction operation is likely to be newlineskipped which reduces the complexity of the algorithm. Later, the LLL algorithm is newlinecombined with Efficienct LLL (ELLL) and fixed complexity LLL (fcLLL) to form newlinethe fcELLL algorithm. Furthermore, for signal detection, the suggested fcELLL newlinealgorithm is paired with Zero forcing (ZF) and Minimum Mean Squared Error newline(MMSE) equalizers at the receiver. A fixed LLL loop iteration (Nmax=22) is shown newlineto achieve best performance in the fcELLL algorithm. The measure Nmax=22 is used newlineto evaluate the rest of the performance, while the number of users and antennas are newlinechanged to improve spectral efficiency while minimizing BER and implementation newlinecomplexity. Cont.....