Title :
Equal gain combining (EGC) SC-FDMA performance over Land Mobile Satellite (LMS) Rice fading channel
Author :
Gangane, J.R. ; Aguayo-Torres, Mari Carmen ; Sanchez, J.J. ; Wagh, Sushama
Author_Institution :
Sinhgad Inst. of Technol., Pune Univ., Pune, India
Abstract :
The mobile satellite broadcasting field is viewing a constant lift up in the demand for superior transmission quality and elevated number of services in order to stay on balance with analogous terrestrial counterparts. The techniques such as Orthogonal Frequency Division Multiplexing (OFDM), Single Carrier Frequency Division Multiple Access (SC-FDMA) and Multiple Input Multiple Output (MIMO) are used in satellite communication to improve spectral efficiency and lower bandwidth requirement. SC-FDMA is precoded version of OFDM. It has lower Peak to Average Power Ratio (PAPR), which is the requirement of Up-Link transmission. SC-FDMA has shown worst performance than OFDM with Rayleigh fading, but when there exist a Line Of Sight (LOS), its performance is improved. In this paper, we have investigated Performance of SIMO SC-FDMA with Equal Gain Combining (EGC) diversity over Land Mobile Satellite (LMS) Rice fading Channel, for different number of antennas at receiver, for different co-relation factor and different allocated subcarriers.
Keywords :
OFDM modulation; Rayleigh channels; antennas; diversity reception; frequency division multiple access; mobile satellite communication; radio receivers; EGC SC-FDMA performance; LMS rice fading channel; LOS; MIMO; PAPR; Rayleigh fading; analogous terrestrial counterparts; antennas; bandwidth requirement; equal gain combining SC-FDMA performance; equal gain combining diversity; land mobile satellite rice fading channel; line of sight; mobile satellite broadcasting field; multiple input multiple output; orthogonal frequency division multiplexing; receiver; satellite communication; single carrier frequency division multiple access; spectral efficiency; superior transmission quality; up-link transmission; EGC; LMS; OFDM; Rice factor; SC-FDMA;
Conference_Titel :
Computational Intelligence & Computing Research (ICCIC), 2012 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4673-1342-1
DOI :
10.1109/ICCIC.2012.6510275