Abstract
The Internet of Everything is currently in demand and has burdened the network tremendously. Accommodating this exponential increase in demand will require improved Radio Resource Management technology. This problem can be curbed with higher spectrum bands, reevaluation of Time Division Duplex, deployment of Software Defined Network, and Network Function Virtualization into 5G New Radio (NR) network. Therefore, this work aims to provide an in-depth survey on the recent resource management schemes that can be proposed for 5G NR enhancement by exploiting both rule-based algorithms and machine learning methods. Radio resource management consists of managing user allocation, the antenna transmission power, bandwidth, and modulation scheme. Therefore, in this paper, three categories of radio resource management technologies are introduced: resource allocation, energy efficiency, and interference management. The discussion revolves around their potentials and contributions as well as challenges faced to produce efficient 5G resource management schemes.
Highlights
Communication technology has evolved rapidly to support user demands on various applications. 5G New Radio (NR) is one of the promising technologies that focused on preparing a platform that provides high data rates, capacity, thousands of interconnected devices, and massive support for missioncritical applications [1]–[3]. 5G NR is a new radio access technology (RAT) developed by 3rd Generation Partnership Project (3GPP) for the 5G mobile network
The results indicate that the scheduling method effectively handles interference for close-by links within very dense networks compared to a power control technique
This paper provides a detailed survey of radio resource management for 5G resource allocation, energy efficiency, and interference mitigation using machine learning and rulebased approaches
Summary
Communication technology has evolved rapidly to support user demands on various applications. 5G New Radio (NR) is one of the promising technologies that focused on preparing a platform that provides high data rates, capacity, thousands of interconnected devices, and massive support for missioncritical applications [1]–[3]. 5G NR is a new radio access technology (RAT) developed by 3rd Generation Partnership Project (3GPP) for the 5G mobile network. The 5G system is divided into three specific use cases, which are ultra-reliable low-latency communication (uRLLC), massive machine-to-machine communication (mMTC), and enhanced mobile broadband (eMBB) to realize the above promise. These use cases create new challenges in providing a reliable system as each of the use cases has different criteria and requirements to be met [4]. With static LTETDD, it is difficult to fulfill fast traffic adaptation, leading to the underutilization of base station resources. TDD requires all base stations to synchronously operate in both uplink and downlink transmission modes, which is allocated statically, contributing to inefficient use of resources [16]
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