Comparison & Improvement in Channel Estimation Techniques for Next Generation Network Using mm wave OFDM Channel

Atul Sharma

Abstract

This paper develops schemes for orthogonal matching pursuit (OMP), bayesian Cramer Rao Bound & ORACLE-LS channel estimation technique in milli-meter wave (mm- Wave) multiple-input-multiple-output (MIMO) systems that exploit the spatial sparsity inherent in channels. In simulation results shows comparison between ORACLE LS & orthogonal matching pursuit (OMP) on the basis of NMSE v/s SNR comparison between orthogonal matching pursuit OMP, MSBL, and TSBL-based & various channel estimation techniques for the mm-Wave MIMO whose setup parameters are as NT (No of transmitter)=8, NR (No of recivers) = 8, NBeam =8, R = 8, NRF = 4, Nc (No of carriers) = 5 and G = 10. Simulation result shows the improved in performance of the proposed ORACLE LS- based channel estimation techniques gives better performance in comparison to the popular orthogonal matching pursuit (OMP) based scheme. Thispaperdevelopsschemesfororthogonal matching pursuit (OMP), bayesianCramerRaoBound&ORACLE-LSchannelestimationtechniqueinmilli-meterwave(mm-Wave) multiple-input-multiple-output (MIMO)systemsthatexploitthespatialsparsityinherentinchannels.InsimulationresultsshowscomparisonbetweenORACLELS&orthogonalmatchingpursuit(OMP)onthebasis of NMSE v/s SNR comparison betweenorthogonal matching pursuit OMP, MSBL, andTSBL-based&variouschannelestimationtechniquesforthemm-WaveMIMOwhosesetupparametersareasNT(Nooftransmitter)=8, NR (No of recivers) = 8, NBeam =8, R = 8, NRF =4,Nc(Noofcarriers)=5andG=10.SimulationresultshowstheimprovedinperformanceoftheproposedORACLELS-basedchannelestimationtechniquesgivesbetterperformanceincomparisontothepopularorthogonalmatchingpursuit(OMP) basedscheme.

Abstract

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