Abstract

Cloud Radio Access Networks (Cloud-RANs) have recently emerged as a promising architecture to meet the increasing demands and expectations of future wireless networks. Such an architecture can enable dynamic and flexible network operations to address significant challenges, such as higher mobile traffic volumes and increasing network operation costs. However, the implementation of compute-intensive signal processing Network Functions (NFs) on the General Purpose Processors (General Purpose Processor) that are typically found in data centers could lead to performance complications, such as in the case of overloaded servers. There is therefore a need for methods that ensure the availability and continuity of critical wireless network functionality in such circumstances. Motivated by the goal of providing highly available and fault-tolerant functionality in Cloud-RAN-based networks, this paper proposes the design, specification, and implementation of live migration of containerized Baseband Units (BBUs) in two wireless network settings, namely Long Range Wide Area Network (LoRaWAN) and Long Term Evolution (LTE) networks. Driven by the requirements and critical challenges of live migration, the approach shows that in the case of LoRaWAN networks, the migration of BBUs is currently possible with relatively low downtimes to support network continuity. The analysis and comparison of the performance of functional splits and cell configurations in both networks were performed in terms of fronthaul throughput requirements. The results obtained from such an analysis can be used by both service providers and network operators in the deployment and optimization of Cloud-RANs services, in order to ensure network reliability and continuity in cloud environments.

Highlights

  • C URRENTLY, significant efforts focus on new access methods targeting the Internet-of-Things (IoT)

  • While it would be possible to migrate the evolved Node Bs (eNodeBs) application, particular concerns may arise, when the application is restored at the destination node, such as the complete re-synchronization of the entire network (EPC-Radio Access Network (RAN) and RAN-User Equipment (UE))

  • A recent proposal by the European Telecommunications Standards Institute (ETSI) to co-deploy MultiAccess Edge Computing (MEC) nodes at Centralized Radio Access Networks (C-RANs) sites motivates the study of more intelligent MEC/C-RAN resource management approaches

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Summary

Introduction

C URRENTLY, significant efforts focus on new access methods targeting the Internet-of-Things (IoT). While LoRa defines a new access method, LTE-M and NB-IoT defined new features of LTE Advanced Pro in Release 13 of the 3rd Generation Partnership Project (3GPP) specifications. With these enhancements evolved Node Bs (eNodeBs) may activate LTE-M or NB-IoT after a software upgrade, depending on the base software release and configuration in use. LoRa is a spread spectrum modulation technique used in Low Power Wide Area Networks (LP-WAN), allowing for long-range communications in low power IoT applications. It is used to provide support for devices installed in remote areas1 It has become the primary technology in IoT networks, and it provides a Long Range Wide Area Network (LoRaWAN). Because IoT sensors show limited battery life, capacity, and range, LoRaWAN is built to optimize LP-WAN, while taking those limits into account

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