Abstract
Multi carrier code division multiple access (MC-CDMA), a strong contender for future mobile communication is a combination of orthogonal frequency division multiplexing (OFDM) and code division multiple access (CDMA). Turbo coding technique can be used for improving the performance of MC-CDMA system in terms of bit error rate (BER). The objective of this work is to form a coding scheme that reduces BER of MC-CDMA system. In this paper a time domain turbo block code (TBC) designed using powerful low density parity check (LDPC) code is used in MC-CDMA system for improving the BER performance and the same is proved through simulation. This code also has error correction capability along with high performance efficiency in terms of BER.
Highlights
In wireless communications, the spectral limitation and distortion due to multipath channels are the main restricting problems, and the conventional code division multiple access (CDMA) is not efficient due to multipath fading
Even though MC-CDMA is more efficient when compared to other techniques, it has got some disadvantages like high PAPR and multiple access interference (MAI) which reduces bit error rate (BER) performance of the system
It is observed that as the dimension of parity check matrix increases the BER performance increases; the BER value decreases with increase in SNR value
Summary
The spectral limitation and distortion due to multipath channels are the main restricting problems, and the conventional CDMA is not efficient due to multipath fading To combat these difficulties and to improve the system performance to achieve multiple access properties for communication networks, MC-CDMA systems are used [1]. Even though MC-CDMA is more efficient when compared to other techniques, it has got some disadvantages like high PAPR and multiple access interference (MAI) which reduces BER performance of the system. To tackle these problems effectively, an efficient design of forward error coding (FEC) scheme is required for providing high coding gain. TBC uses a soft decision decoder which shows better performance when compared to hard decision decoders
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