A Novel Interference Avoidance Based on a Distributed Deep Learning Model for 5G-Enabled IoT.

Radwa Ahmed Osman,Yasmine N M Saleh,Sherine Nagy Saleh

doi:10.3390/s21196555

Radwa Ahmed Osman, Yasmine N M Saleh + Show 1 more

Open Access

https://doi.org/10.3390/s21196555

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Abstract

The co-existence of fifth-generation (5G) and Internet-of-Things (IoT) has become inevitable in many applications since 5G networks have created steadier connections and operate more reliably, which is extremely important for IoT communication. During transmission, IoT devices (IoTDs) communicate with IoT Gateway (IoTG), whereas in 5G networks, cellular users equipment (CUE) may communicate with any destination (D) whether it is a base station (BS) or other CUE, which is known as device-to-device (D2D) communication. One of the challenges that face 5G and IoT is interference. Interference may exist at BSs, CUE receivers, and IoTGs due to the sharing of the same spectrum. This paper proposes an interference avoidance distributed deep learning model for IoT and device to any destination communication by learning from data generated by the Lagrange optimization technique to predict the optimum IoTD-D, CUE-IoTG, BS-IoTD and IoTG-CUE distances for uplink and downlink data communication, thus achieving higher overall system throughput and energy efficiency. The proposed model was compared to state-of-the-art regression benchmarks, which provided a huge improvement in terms of mean absolute error and root mean squared error. Both analytical and deep learning models reached the optimal throughput and energy efficiency while suppressing interference to any destination and IoTG.

Highlights

The fifth generation (5G) is considered a basic and emerging technique for the Internetof-Things (IoT)
A novel interference avoidance system was proposed for a 5G network and IoT
First an analytical model was created and simulated using MATLAB to calculate the optimal distances required between IoT devices (IoTDs)

Summary

Introduction

The fifth generation (5G) is considered a basic and emerging technique for the Internetof-Things (IoT). IoT is a communication environment where a massive number of devices communicate with each other. 5G networks address the major challenges that exist in cellular networks. They enable all devices to communicate with each other without the need for a base station (BS) which is known as device-to-device (D2D) communication. They enable machine-to-machine (M2M) and device-to-everything (D2E). One of the most important systems that deploy D2D communication nowadays is 5G-enabled IoT which is considered a promising future technique. 5G-enabled IoT communication to supports a large number of applications such as self-driving cars, drones, virtual reality, security surveillance, and many more applications [3]. All the devices used in these applications communicate with each other or with an access point or infrastructure using wireless or wired links [4]

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