Performance analysis of MC-CDMA detection schemes for D2D communication
Li, Bin (2016)
2016
Master's Degree Programme in Information Technology
Tieto- ja sähkötekniikan tiedekunta - Faculty of Computing and Electrical Engineering
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Hyväksymispäivämäärä
2016-06-08
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201605264168
https://urn.fi/URN:NBN:fi:tty-201605264168
Tiivistelmä
The wireless communication standard has gone to the era of Long Term Evolution which is also known as LTE. The requirements for transmission speed and communication quality become more and more rigorous and the number of wireless communication devices is increasing rapidly. The available spectrum for mobile wireless communication is getting congested. Therefore, more efficient spectrum utilization should be taken into consideration within the future development. New methods need to be implemented to increase the efficiency of spectrum utilization.
To confront this obstacle, orthogonal frequency division multiplexing (OFDM) was developed in 1990’s and has been widely deployed in the LTE networks. Multicarrier code division multiple access technique (MC-CDMA) combines code division multiple access (CDMA) with OFDM to acquire advantages from both sides. With the continuous increase of mobile applications, the power consumption of mobile terminals is also increasing significantly. Then device-to-device (D2D) communication, which is a short distance communication technique from one device directly to another one, was invented. The data of users will be transmitted between devices directly without relying on the base station. D2D communication decreases the load of the base station, reduces the terminal power consumption, and improves the spectral efficiency. Due to these merits, D2D has become a significant research topic and various new related applications for D2D have been developed and tested in realistic circumstances.
This thesis applies MC-CDMA into D2D communication and studies different detection schemes for MC-CDMA. The OFDMA cellular user signals appear as significant sources of interference to D2D communication. Three alternative detection schemes are investigated: equal gain combining (EGC), maximum ratio combining (MRC) and linear minimum mean square (LMMSE) equalization. MC-CDMA performance with these detection methods is evaluated based on MATLAB simulations using relevant channel and interference models to find out the best alternative for different D2D scenarios. At the end of this thesis, a conclusion is drawn of which MC-CDMA detection scheme will be a better choice for D2D communication according to the BER performances based on the simulation results on MATLAB.
To confront this obstacle, orthogonal frequency division multiplexing (OFDM) was developed in 1990’s and has been widely deployed in the LTE networks. Multicarrier code division multiple access technique (MC-CDMA) combines code division multiple access (CDMA) with OFDM to acquire advantages from both sides. With the continuous increase of mobile applications, the power consumption of mobile terminals is also increasing significantly. Then device-to-device (D2D) communication, which is a short distance communication technique from one device directly to another one, was invented. The data of users will be transmitted between devices directly without relying on the base station. D2D communication decreases the load of the base station, reduces the terminal power consumption, and improves the spectral efficiency. Due to these merits, D2D has become a significant research topic and various new related applications for D2D have been developed and tested in realistic circumstances.
This thesis applies MC-CDMA into D2D communication and studies different detection schemes for MC-CDMA. The OFDMA cellular user signals appear as significant sources of interference to D2D communication. Three alternative detection schemes are investigated: equal gain combining (EGC), maximum ratio combining (MRC) and linear minimum mean square (LMMSE) equalization. MC-CDMA performance with these detection methods is evaluated based on MATLAB simulations using relevant channel and interference models to find out the best alternative for different D2D scenarios. At the end of this thesis, a conclusion is drawn of which MC-CDMA detection scheme will be a better choice for D2D communication according to the BER performances based on the simulation results on MATLAB.