Abstract:

To solve high computational complexity problems in selection algorithm of precoding codebook for time division duplex(TDD) long term evolution (LTE), two traditional selection algorithms, i.e. maximizing mutual information and minimizing error rate are studied. And based on singular value decomposition of channel matrix, a new precoding matrix index selection algorithm is presented. The algorithm reduces the computational complexity enormously by using the idea of channel average and maximizes effective power of transmitted signals. Simulations show that the computation of the algorithm presented is 26%~33% of those above these traditional algorithms but performance loss is very small.

Key words: long term evolution, multi-input multi-output, precoding matrix, signal to interference noise ratio, singular value decomposition