03440ntm a2200289 a 4500 vtls000098248 KUKTEM 20251117113338.0 161205s2016 my da f abm 000 0 eng d THE0008061(Local) 201906190844 amy2 201710090935 aishah 201612050959 saini 201612050953 saini UMP FKEE .F39 2016 r Thesis Mohammad Fazle Rabbi High mobility channel estimation based on amplifyand-forward model in cooperative network / Mohammad Fazle Rabbi Kuantan, Pahang : UMP, 2016 xii, 71 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM Faculty of Electrical and Electronics Engineering Thesis (Master of Engineering in Electrical Engineering) -- Universiti Malaysia Pahang – 2016 Bibliography : p. 60-66 Cooperative communication has been proposed for a number of next generation mobile technologies such as Worldwide Interoperability for Microwave Access (WiMAX), wireless Metropolitan Area Network (WMAN), Long Term Evolution (LTE) and LTE-Advanced. In addition to the higher data rate, the upcoming wireless technologies support higher user mobility than the previous technologies. However, due to the fast movement, the channel may experience Doppler spread which may cause the carrier frequency offset (CFO) resulting Inter Carrier Interference (ICI). Modeling and estimating this type of channel is crucial and, play a vital role to fulfil the data rate requirement of the network. In this thesis, an Amplify-and-Forward (AF) relay based cooperative network using Orthogonal Frequency Division Multiplexing (OFDM) system has been studied. The problem of high mobility OFDM channel is investigated first. To alleviate the problem, Basis Expansion Modeling (BEM) for time varying channel has been applied. BEM is used to capture the time variation of the channel with very small coherence time. Following the channel model, the OFDM based AF relaying system model is developed including transmit and receive signal model. In this study, Least Square (LS) and Linear Minimum Mean Square Error (LMMSE) estimators are formulated based on two different pilot patterns for both time and frequency domains. In addition to the estimators, Cramer-Rao lower bound is derived as a benchmark of the estimation performance of the estimation methods. Based on the theoretical analysis and simulation results it was found that the frequency domain channel estimation suffers from the estimation errors due to the ICI from the data symbols in the OFDM block. On the other hand, time domain channel estimation methods can provide interference free and more accurate estimates in high mobility channel conditions. Moreover, being a more complex and advance estimator, LMMSE was found to be more precise in compare to LS estimator in time domain channel estimation. Also, LMMSE performs more close to the CRLB and may be a better choice for channel estimation in high speed mobile environment. Faculty of Electrical and Electronics Engineering Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/3482/ Library access only 0 0 lcc 0 1 20000 20000 2019-09-04 0 FKEE .F39 2016 r Thesis 0000116447 2019-09-04 00:00:00 1 2019-09-04 THESIS 0 0 lcc 0 1 20000 20000 2019-09-04 0 CD 10581 | FKEE .F39 2016 r Thesis 0000116448 2019-09-04 00:00:00 1 2019-09-04 THESIS VIRTUA40 7119 7125 VTLSSORT0010*0030*0050*0080*0200*0390*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*8560*9990*9992