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Performance Analysis of Maximum Ratio Transmission and Zero Forcing Linear Precoding Techniques for Downlink Massive Multiple Input Multiple Output System

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dc.contributor.author Mohammad, Mohammad Almahe Babiker
dc.date.accessioned 2018-10-16T07:14:19Z
dc.date.available 2018-10-16T07:14:19Z
dc.date.issued 2015-05
dc.identifier.uri http://repo.uofg.edu.sd/handle/123456789/2406
dc.description A Dissertation Submitted to the University of Gezira in Partial Fulfillment of the Requirements for the Award of the Degree of Master of Science in Telecommunications Engineering Department of Electronics Engineering Faculty of Engineering and Technology May 2015 en_US
dc.description.abstract The next generation of wireless communications high data rate and link with high reliability became main factors in measuring the performance of system. Therefore massive Multiple Input Multiple Output systems (massive MIMO) will be promising technology for fifth generation wireless communication to cover the increasing number of users and various wireless applications with acceptable data rate and link with high reliability. In practice pilot contamination, channel state information, hardware impairments, multi user interference..etc are main problems in performance of massive MIMO system. This study focus on Multi User Interference(MUI), which is interference results from other user in same cell which has one of the major impact factor in decreasing performance (achievable data rate) of cellular communication system when more users access to the wireless link. The specific goal is to eliminate or mitigate the effect of multi user interference to enhance system performance by increasing number of base station antennas and applying linear precoding techniques. This research presents the study and compare the performance analysis of two linear precoding techniques which are Maximum Ratio Transmission (MRT) and Zero Forcing (ZF) for downlink massive multiple input multiple output System over perfect channel depending on vector normalization and matrix normalization methods when number of base station antennas from 1 to 128 and from 1 to 256, number of user from 1 to 10 and downlink transmitting power 0 dBm and -15 dBm. Simulations results show that using linear precoding techniques and increasing number of base station antennas enhance system performance. When number of base station antenna 256 the achievable sum rate improvements for ZF and MRT (16.7007 dBm and 15.8665 dBm at 0 dBm and 9.1918 dBm and 9.2435 dBm at -15 dBm respectively). The results indicate that vector normalization and matrix normalization for ZF gives better performances at high downlink transmission power (0 dBm) while vector normalization and matrix normalization for MRT gives better performance at low downlink transmission power (-15 dBm). This research recommends the use of ZF precoding technique for cell center users and MRT precoding technique for cell boundary users. en_US
dc.description.sponsorship Abdullah Akode Osman Mohammed Main Supervisor Magdi Baker Mahmoud Amien Co- supervisor en_US
dc.language.iso en en_US
dc.publisher University of Gezira en_US
dc.subject wireless communications en_US
dc.title Performance Analysis of Maximum Ratio Transmission and Zero Forcing Linear Precoding Techniques for Downlink Massive Multiple Input Multiple Output System en_US
dc.type Thesis en_US


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