Investigation of Channel Estimation and Resource Management within 3GPP LTE

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Dr. Mráz János Albert
Department of Networked Systems and Services

Wireless data usage is increasing faster now than ever before. Smartphones and broadband-enabled portables, such as laptops or tablets, are now seeing high penetration in many markets, and the superior user experience offered by such devices has lead to exponential growth of mobile data traffic as shown in. The demand for mobile data services has been doubling every year, this can be met only by highly efficient and optimized mobile network infrastructures. Significant improvements are expected with the ongoing rollout of OFDMA based networks: IEEE 802.16x WiMAX and 3GPP LTE. These two standards, although they do not fulfill the requirements, are the first steps towards the 4th generation (4G) definition given by the ITU and targeting data rates of 1 Gbps in high-mobility applications and 100 Mbps for low-mobility applications such as nomadic/local wireless access. To meet these needs, advanced features are investigated for inclusion in future releases of these standards (WiMAX evolution and LTE Advanced). Among these various techniques, two promising

ones are currently being investigated by EU FP7 project SAMURAI, namely, carrier aggregation and MU-MIMO. The main objective of SAMURAI project is to investigate innovative techniques in the area of MU-MIMO and SA with focus on practical implementation and deployment aspects.

This thesis will include insights into the development of mobile communications systems, starting from analog implementations up to 3G systems used today. After a more detailed description of the LTE system, it describes the main characteristics including its radio access network physical

layer, and presents the transmission technology used in the OFDM. It mentions antenna diversity (MIMO) techniques and their possible use of LTE systems.

This work focuses on a different channel estimates, using PMI loss and CSI error at the receiver to simulate the effects of estimation error assuming the downlink transmission direction. The course is based on MATLAB 3GPP LTE „link level” simulator development, and is connected to the SAMURAI project organized by the European Union. The simulator is designed to model the LTE radio access network physical layer, and to determine the transmission characteristics in different circumstances, such as BER and BLER and transmission capacity.


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