Enhanced channel design and scrutiny for LTE advanced mimo downlink

Abstract

LTE A downlink transmits the data control signals from the base station enhanced Node B to the mobile user equipment LTE A downlink physical layer processing is essential for information retrieval in user equipment mobile with reduced error rate and high throughput Since the wireless channel is time variant and the channel matrix is always varying by the channel characteristics there is a necessity to analyse the channel parameters and design an efficient channel estimation algorithm to reduce the mean square error compared to the existing optimized intelligent channel estimation methods The channel analysis procedure in the thesis is divided into two parts channel selection and channel estimation For channel selection the different LTE A MIMO channel scenarios are analysed in terms of Block Error Rate BLER Throughput Fraction TPF and Spectral Efficiency SE The experimental simulations prove that at SNR of 15 dB indoor hot is the best channel scenario with lowest block error rate of 10 0 16 high throughput fraction of 31 1 and high spectral efficiency of 9 33 bps Hz The next best channel is urban micro environment with low BLER of 10 0 105 high TPF of 21 4 and more SE of 6 42 bps Hz Since the macro environments like Urban Macro Suburban Macro and Rural Macro are worst in performance with more error A system Also it has been concluded that micro cells are better than macro cells and further micro cells can be replaced by nano cells femto cells etc For implementation and analysis of different interpolation and decoding schemes over LTE A MIMO channel scenarios soft decoding is better than hard decision decoding and MMSE channel estimation interpolation is better than LSE and Zero Forcing algorithm is used as the equalization method newline