Abstract

The physical characteristics of fifth generation (5G) cellular network wavelengths result in quicker attenuation and smaller base station (BS) coverage area, which in turn, cause BSs to naturally transform into small cell BSs (SBSs). However, in the case of fixed-rail transportation, they often cover long distances when deployed and pass by multiple SBSs; hence, the connection of the terminal equipment in these forms of transportation is subjected to frequent handovers. Therefore, it is important to address the issue of identifying suitable SBSs for each handover such that a certain level of service quality and non-interruptible transmission can be achieved. In the present study, we proposed a new handover selection algorithm named the toss-and-catch algorithm. By means of an efficient SBS selection mechanism and configuration settings, the algorithm selects suitable SBSs to ensure reliable transmission and non-interruptible handovers. Meanwhile, with the assistance of an overload support mechanism, the algorithm is able to resist changes in channel environments under most conditions. In order to apply our results in more realistic channel environments, we performed all-inclusive simulations based on different symmetric fading channel environments, with the aim of developing more practical SBS selection and handover methods for mobile terminal equipment. The multitude of simulation results indicates that from the perspective of terminal equipment in fixed-rail transportation, under most conditions, the performance of the toss-and-catch algorithm in terms of signal quality and handover connection was superior to those of other conventional methods. For example, the toss-and-catch algorithm outperformed the random SBS selection method in a typical fading channel environment (e.g., Nakagami-1 fading), achieving, on average, an approximately 28% improvement in signal quality, an approximately 50% reduction in the disconnection rate for handover connections, and an approximately 71% improvement in processable load ratio. These results indicate that the toss-and-catch algorithm allows for a greater number of suitable SBS handover candidates to be identified, making it a promising SBS handover selection mechanism for 5G fixed-rail transportation networks.

Highlights

  • With the emergence of fifth generation (5G) cellular networks and the intensive deployment of base stations (BSs) by telecom operators, users will soon be able to connect to 5G networks from anywhere and enjoy better service quality

  • We only considered the case of a train with one car, that is, only one OIS is in operation, and simulated the proposed algorithm’s performance using Matlab

  • In order to produce more realistic simulations, this study performed simulations of fading in different channel environments by employing Nakagami-q fading channels in which q = 3, 1, and 1/2 [26,27]. This was done with the aim of developing small cell BSs (SBSs) selection and handover methods that are more practical for mobile terminal equipment in the future

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Summary

Introduction

With the emergence of fifth generation (5G) cellular networks and the intensive deployment of base stations (BSs) by telecom operators, users will soon be able to connect to 5G networks from anywhere and enjoy better service quality. Compared to fourth generation cellular networks signals, 5G signals produce shorter wavelengths and attenuate quicker, and BSs provide a less signal coverage area as a result, making it all the more important to maintain good communications quality when operating 5G networks. The increasingly widespread implementation of 5G networks and emerging real-time applications has brought the issue of seamless mobility to the forefront Against this backdrop, it is important that we design appropriate algorithms for the handover process. Moving into this stage, the parameters required include the predicted position of the OIS at tn+1 as described in Section 3.2 (assuming that tn is the current time point), and the load information of the SBSs that can conduct an OIS handover.

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