Abstract

There have been active researches worldwide for evolving the next-generation networks such as 5G. The 5G network is predicted to ensure considerable mobile data traffic having large number of wireless connections. This is combined with high energy-efficiency and Quality of Service (QoS). For these reasons, 5G should be exploited the prospect of new developments, including multiple-input multiple-output (MIMO) technology and using higher frequencies such as the millimeter-wave (mmWave) frequency band. Error correction techniques are commonly utilized to reduce transmission error and enhance QoS. In the present work, Cyclic Redundancy Check (CRC) aided polar codes with successive cancellation list (SCL) decoding is used in conjunction with mmWave and MIMO system in order to gain the advantages of these techniques together. The mentioned combined techniques are modeled and simulated to show their performances over different wireless channel models mainly: Additive White Gaussian Noise (AWGN), flat fading, and mmWave indoor fading channel. The results showed that combining polar code with MIMO system improves the Bit Error Rate (BER) performance by at least 6 dB at BER of 10-4 compared to the case where no polar code being used.

Highlights

  • Millimeter wave and Multiple Input Multiple Output (MIMO) are considered as promising solutions to meet the huge increase in data traffic for 5G system predicted in the near future

  • It is clear that 4x4 MIMO system provides superior Bit Error Rate (BER) performance as compared to others

  • It is clear that the coded results with 4x4 MIMO provided better BER performance as compared to single input single output (SISO) and other 2x2 MIMO cases due to the additional gain provided by the 4x4 MIMO arrangement

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Summary

INTRODUCTION

Millimeter wave (mmWave) and Multiple Input Multiple Output (MIMO) are considered as promising solutions to meet the huge increase in data traffic for 5G system predicted in the near future. The spectral efficiency can be improved considerably as large MIMO elements compensate for the high path loss experienced by high frequencies [1].The higher spectral efficiency of MIMO is achieved when separate signal paths are provided by each pair of transmitting and receiving antennas. This increases the diversity in the wireless communication system [2,3]. In the above mentioned references, the transmission of polar code signal using mmWave band is based on single input single output (SISO), so the present work deals with the use of MIMO technology instead of SISO.

SYSTEM MODEL
Polar Coding
The MIMO System Model
SIMULATION TEST AND RESULTS
CONCLUSIONS
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