Abstract
Next generation networks or 5G will be “network of networks” that can support ultra-reliable and low latency communication, high data rate, huge connectivity and high security. Network transformation stirring towards virtualized Radio Access Network (v-RAN) and intelligent resource management are foreseen as key solutions to realise such varied 5G requirements. Effective Radio Resource Management (RRM) is crucial for Mission Critical (MC) services to underpin communication between smartphone, massive machines and tiny sensor devices. The paper explores pioneering research related to architecture and intelligent RRM that helps Service Providers (SPs) to design reference framework of an advanced Radio Link Manager (RLM) enabled by Machine Learning (ML). One example optimization for commercial network/Long Term Evolution (LTE) and some preliminary results are analysed to understand the reference framework. The paper addresses the general reference architecture framework of advanced Radio Link Manager to support Mission Critical services in 5G. The paper also discusses about the ongoing standardisation activities and open source initiatives in 5G RAN.
Highlights
The evolution of mobile technology generations provides greater capacity and data rates to the end users
With the evolution of IoT, various vertical industries like healthcare, Industrial IoT, Smart Utilities are rapidly advancing. 5G cellular network technology is expected to meet the stringent demands of these verticals in terms of latency and reliability
The paper discusses 5G reference design framework of advanced Radio Link Manager (RLM) facilitated by Machine Learning (ML) for enabling Mission Critical (MC) services
Summary
The evolution of mobile technology generations provides greater capacity and data rates to the end users. 5G or generation technology is expected to improve network performance and support various new services such as machine type and ultra-low latency communications. To address such services, most of the significant requirements in. The idea is to utilise the Software Defined Networking (SDN) and Network Function Virtualisation (NFV) principles to virtualise, split and shift some RAN functions to the cloud. This RAN evolution helps the network operator to provide higher data rate, higher reliability and reduce endto-end latency.
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