Abstract

Multiple-Input and Multiple-Output, or MIMO is the use of multiple antennas at both the transmitter and receiver to improve communication performance. MIMO technology has attracted attention in wireless communications; because it offers significant increases in data throughput and spectral efficiency without additional bandwidth or increased transmit power. To achieve the mentioned above performance Bit Error Rates (BER) should be low. For this reason efficient encoding and decoding algorithms should be used. MIMO systems rely on error-control coding to ensure reliable communication in the presence of noise. Forward Error Correction Codes (FEC) such as convolutional and block codes were investigated for MIMO systems. Low Density Parity Check (LDPC) shows good performance except that an error floor may appear at high Signal to Noise Ratio (SNR). In this work we propose a concatenated error control code that reduces the error floor of LDPC codes suffering from error floor. The proposed scheme is a good candidate for high rates real time communication since it reduces the decoding latency as well.

Highlights

  • One important issue with wireless communication systems is providing high data rates

  • The 1⁄4 Low Density Parity Check (LDPC)-BCH-convolutional codes (CC) scheme is compared to a standalone 1⁄4 LDPC code

  • By comparing Bit Error Rates (BER) of the standalone LDPC for different MIMO systems it is noticed that receive antenna diversity improves LDPC BER performance and reduces the error floor

Read more

Summary

Introduction

One important issue with wireless communication systems is providing high data rates. MIMO systems provide high channel capacity and so may provide high throughputs which are promising for 4G and 5G. High data throughputs are conditioned with low bit error rates. Error control codes are deployed to decrease BER and so increase channel throughputs. In the literature, both convolutional codes (CC) and block codes were investigated for MIMO systems. CC gained interest because of their decoding process based on the Viterbi decoder [1]. They attracted more attention because of their use in Turbo codes. Turbo codes were first proposed by Berrou in [2] where the authors proved that turbo codes may attain near Shannon capacity performance

Results
Discussion
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.