Abstract

Currently, energy efficiency (EE) of wireless communication is essential where many wireless networks with different Radio Access Technologies (RATs) coexist together. The RATs can be effectively selected and managed on a higher level to achieve maximum EE and save energy, e.g., save batteries. The approach to wireless traffic steering in mobile networks with a proof-of-concept solution is presented in this paper, owing to the developed high-level multi-RAT (multi-Radio Access Technology) heterogonous network orchestration approach. Based on the high-level network orchestrator, which traces network indicators, it is possible to decrease the user mobile terminal energy consumption, keeping traffic speed at an adequate level. The solution discussed was implemented in an experimental testbed with Software Defined Radio transmission systems. Downlink and uplink data links were toggled among different RATs according to the decisions that were taken by the end-to-end multi-RAT orchestrator based on the received proper network traffic-related indicators. The authors focused on finding an adequate algorithm that allowed for reduced power usage in the user terminal and made the attempt to verify how to reach the power reduction without introducing RAT-specific rules. The results showed that the proposed orchestration EE reduction was observed (from 11% to 42% for two different scenarios) in relation to the single LTE network deployment. The orchestration compared to the Wi-Fi network does not provide EE gain (−7% and 0%, respectively), but allows the user to achieve a higher data rate (23% and 39% gain, respectively), thus keeping the energy efficiency at almost the same level.

Highlights

  • Many wireless radio systems are being implemented around the world, which increase the number of deployed radio services with new possibilities [1,2]

  • A prototype proposed solution for testing is composed of two different radio networks (RATs): Wi-Fi and LTE, established using software defined radio technology with the orchestrator set on the top of both Radio Access Technologies (RATs) and continuously monitoring network parameters and making a decision on switching transmission between the two RATs

  • The multi-RAT orchestration approach could be very effective from an energy efficiency point of view and allows for better wireless network management in a continuously changing wireless environment

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Summary

Introduction

Many wireless radio systems are being implemented around the world, which increase the number of deployed radio services with new possibilities [1,2]. The implementation of new 5G mobile networks in many countries is taking place gradually and slowly, and in the coming years it will not cover many areas, especially rural and distant from city centers—where other legacy radio services will still exist [3]. Depending on this mobile network deployment scenario, it may be not possible to deliver the expected service quality to these areas. Research and work on so-called “beyond 5G” (6G) future wireless systems are currently being carried out worldwide

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