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Maximizing LTE performance with MIMO Systems
Linnaeus University, Faculty of Technology, Department of Physics and Electrical Engineering.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 30 credits / 45 HE creditsStudent thesis
Abstract [en]

The project explains Long Term Evolution (LTE) systems when used with Multiple-Input, MultipleOutput (MIMO) fulfill the growing demands in throughput and system robustness for the user. This is investigated by understanding the throughput capacity of LTE down-links in both spatial multiplexing and transmission diversity mode. The performance downgrades in LTE frame is analyzed. All the simulations are done in MATLAB. The simulations include Bit Error Rate (BER) being verified for values of Signal to Noise Ratio (SNR). MIMO systems use more than one antenna configuration for sending and receiving radio signals of the same frequency. The concept of beam forming may be utilized by MIMO systems. This is done by employing more than one antenna at both the ends namely transmitter (Tx) and receiver (Rx). The use of multiple antennas will achieve higher capacity and better cell coverage. MIMO technologies, when used in LTE, provide better down-link peak rates, cell coverage, and enhanced average cell throughput. LTE offers increased capacity while using standard antenna technique. This technique provides two vital aspects namely, spatial multiplexing (SM) and transmits diversity (TD). The project also explores the effect of different parameters namely, the speed of mobile station, the number of Multipath, Rician factor (K) on throughput is discussed and reported. The report evaluates the performance of LTE using MIMO in order to explain LTE system capacity, average cell throughput of LTE at different bandwidths and BER performance against SNR. The simulation outputs are shown as graphs and discussed.

Place, publisher, year, edition, pages
2016. , 35 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:lnu:diva-58272OAI: oai:DiVA.org:lnu-58272DiVA: diva2:1049234
Subject / course
Electrical Engineering
Educational program
Electrical Engineering with specialisation in Signal Processing & Wave Propagation, Master Programme, 120 credits
Presentation
2016-11-18, Vaxjo, 23:19 (English)
Supervisors
Examiners
Available from: 2016-11-24 Created: 2016-11-23 Last updated: 2016-11-24Bibliographically approved

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