Abstract

The increase in the volume of services and applications, in addition to the accelerated growth in wireless access demands, represent significant challenges for the fifth generation (5G) of mobile networks. The daily large-scale migration of people in urban centers is another aspect of impact, as it incurs in the Tidal Effect. It generates natural traffic fluctuation throughout the day and makes it difficult for network dimensioning, control and management, resulting in low efficiency in the use of network resources. Based on data extracted from mobile subscribers' movement in the current network architecture, where a database with New York city geolocation information was used, a heuristic with two provisioning approaches (one based on aggregate throughput and one on the number of connected users) is proposed. This heuristic aims to meet the imminent demands given the physical limitation of hardware resources in future mobile networks. Results point that the network provisioning strategy met the scenario's traffic variability, reducing the number of active antennas by 13\% and the Blocked User Probability by 3.7\%, maximizing the Baseband Unit (BBU) efficiency and quantifying the Small Cells (SCs) needed to meet network demands.

Highlights

  • I N recent years, data traffic has risen sharply due to the performance of applications and their increasingly stringent requirements in terms of latency and data rates [1]

  • The dimensioning of hardware resources is assessed through mathematical modelling, which is carried out using MATLAB R Software

  • The baseline scenario is normalized to the 4km extension and has the same percentage of users as that provided by the New York City database

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Summary

INTRODUCTION

I N recent years, data traffic has risen sharply due to the performance of applications and their increasingly stringent requirements in terms of latency and data rates [1]. As network traffic is no longer distributed uniformly, there can be a huge gap between the maximum and minimum volume of traffic This scenario poses a problem for the operation and management of networks. In countries such as China, India, and Brazil, intense urbanization has resulted in megalopolises with over 10 million people. Since the D-RAN remains the dominant deployment architecture, research endeavours should seek to ensure a smooth transition towards the 5G ecosystem [10] The migration between these architectures naturally imposes physical constraints on the new hardware, which must be dimensioned effectively so that it can meet the needs of new applications.

RELATED WORK
SYSTEM MODEL
System Topology
Evaluation Methodology
Formulation
Heuristic
RESULTS
Tidal Effect Approach
Provisioning Approaches
CONCLUSION
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