Wireless Communication

Performance Comparison between Round Robin and Proportional Fair Scheduling Methods for LTE
 

Supervised by Mohammed Tawhid Kawser, Asst Professor, Department of Electrical & Electronic Engineering, IUT.    

        - In case of Long Term Evolution (LTE), the scheduler in the MAC layer of the eNodeB allocates the available radio resources among different UEs in a cell through proper handling of priority. The scheduling method used largely impacts the throughput of individual users as well as throughput of the cell. It is worthwhile to check on the throughput conditions for different scheduling scenarios before the actual deployment of LTE. This would help design the algorithm of the scheduler at the eNodeB appropriately. In this work, the throughput conditions are investigated for two of the most popular scheduling methods, Round Robin and Proportional Fair in order to demonstrate a good comparison for downlink transmission. The investigation is made for both SISO and transmit diversity at various UE locations within a cell.

 

Performance Analysis for Different Multiple Antenna Techniques in LTE

 

Supervised by Mohammed Tawhid Kawser, Asst Professor, Department of Electrical & Electronic Engineering, IUT.

        - Multiple antenna technique which is commonly referred as MIMO is an emerging technology in the field of wireless and radio network. The Long Term Evolution (LTE) standard for mobile broadband employs this MIMO technique in its transmission modes which were defined in release 8. The advantage of using MIMO is the improved performance in terms of cover-age, spectral efficiency, reduced power consumption and peak throughput. In LTE downlink, PDSCH channel can use several MIMO techniques which includes transmit diversity, spatial multiplexing and beamforming. The antenna configuration in transmitting and receiving side may be 2x2, 2x4 or 4x4. However the performance of transmission modes varies with the variation of multipath channel, UE speed and UE location within a cell. So, it is necessary to analyze their performance by considering the above facts. In this work, the performance evaluation for transmission modes in downlink PDSCH channel is done for single antenna, transmit diversity and open loop spatial multiplexing (OLSM) by interpreting the simulation outcome.

 

Switching of Appropriate Transmission Modes In LTE

 

Supervised by Mohammed Tawhid Kawser, Asst Professor, Department of Electrical & Electronic Engineering, IUT.

        - Long Term Evolution (LTE) is an emerging 4G wireless access technology. It is showing a lot of promise in field trials and gaining acceptance among the major wireless vendors. The Long Term Evolution (LTE) standard for mobile broadband employs this MIMO technique in its transmission modes which were defined in release 8. The advantage of using MIMO is the improved performance in terms of coverage, spectral efficiency, reduced power consumption and peak throughput in LTE downlink, PDSCH channel can use several MIMO techniques which includes transmit diversity, spatial multiplexing and beamforming. The antenna configuration in transmitting and receiving side may be 2x2, 2x4 or 4x4. However the performance of transmission modes varies with the variation of multipath channel, UE speed and UE location within a cell. So, it is necessary to analyze their performance by considering the above facts. In this work, the throughput conditions are investigated by changing the UE speed and also changing multipath channel in order to find out which transmission mode is best for which condition.

 

Effectiveness of Game theory in LTE and LTE-A feature
 

 Supervised by Mohammad Nur-A-Alam, LTE Performance Engineer, Nokia Siemens Networks, Japan.

        - This work is focused on the the probable application of game theory in wireless network.  Game theory, a prominent field of economics recently attracted the attention of the researchers working in wireless communication. Game theory may act as a governing force in implementing self-governing and autonomously distributed flexible mobile network. The behavior of wireless devices in different scenario may influence the capability of encompassing devices. Because wireless network use shared channels and its quality may be hampered depending upon the strategy of these devices. In this work, the fundamental concepts of non-cooperative games have been taken into account with the help of four examples to elucidate the relationship between wireless network and game theory.