PERFORMANCE OF NETWORK CODING SCHEMES FOR 5G SYSTEM

Shurooq M Abdulkhudhur,Abdulkareem A Kadhim

doi:10.31987/ijict.4.2.147

Shurooq M Abdulkhudhur, Abdulkareem A Kadhim

Open Access

https://doi.org/10.31987/ijict.4.2.147

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Abstract

Huge data rates have been provided by 5G wireless communication systems using millimeter wave (mmWave) band that have frequencies ranging from 30 to 300 GHz. mmWave provides much wider bandwidth than the existing 4G band. The 5G network deals with massive number of devices. This presents many challenges including capacity, end to end delay, data rate, and very large number of connections. In this paper, the main task is to apply network coding to 5G mmWave communication system to increase the throughput of the communication links. Simple packet-based network coding schemes using butterfly network topology are simulated. The two network coding schemes considered here are Physical Layer Network Coding (PLNC) and Network Layer Network Coding (NLNC). Models of Additive White Gaussian Noise (AWGN) and mmWave indoor fading channels are considered in the work using Quadrature Phase Shift Keying (QPSK) modulation. The results of the tests showed that the use of both NLNC and PLNC improved throughput in comparison to uncoded system. Using PLNC increased the Bit Error Rate (BER) and the Packet Error Rate (PER), while NLNC scheme showed almost identical error performance to uncoded system over mmWave fading channel. The results show that network coding improved throughput when compared.

Highlights

Compared to the 4G system, 5G networks are characterized by; 1000 times the system capacity, wide frequency band covering microwave and millimeter wave frequency bands, up to 100 times data rate, reduced latency, and better energy consumption [1]-[5]
The performance measures used are Bit Error Rate (BER), Packet Error Rate (PER), and throughput versus signal to noise power ratio (SNR) defined by energy per data bit (Eb)/No in dB
These are Physical Layer Network Coding (PLNC) and Network Layer Network Coding (NLNC). They are applied in the butterfly network topology that simulates an indoor environment using both Additive White Gaussian Noise (AWGN) and millimeter wave (mmWave) channel models aiming to improve the system throughput while maintaining an acceptable Bit Error Rate (BER) level

Summary

Introduction

Compared to the 4G system, 5G networks are characterized by; 1000 times the system capacity, wide frequency band covering microwave and millimeter wave (mmWave) frequency bands, up to 100 times data rate, reduced latency, and better energy consumption [1]-[5]. Network coding approaches were shown to enhance network throughput, improve network robustness, reduce consumed energy, and achieve the network capacity [7], [8]. Theoretical study of massive Multi-Input Multi-Output (MIMO) with physical-layer network coding using a different number of users and MIMO dimensionality in the multiuser environment were presented in [15]. This work aims is to improve the throughput of the system by using network coding in the mmWave band using two approaches: PLNC and NLNC. These are considered for the case of backhaul indoor 5G environment, where the network coding will be applied at the relay node to reduce the number of transmissions and improve the reliability of mmWaves communication links. Section-IV deals with the main concluding remarks of the work

Objectives

Results

Conclusion