A Hierarchical and Modular Radio Resource Management Architecture for 5G and Beyond

07/30/2021
by   Marcin Dryjański, et al.
0

The evolution of mobile wireless systems into Heterogeneous Networks, along with the introduction of the 5th Generation (5G) systems, significantly increased the complexity of radio resource management. The current mobile networks consist of a multitude of spectrum bands, use cases, system features, licensing schemes, radio technologies, and network layers. Additionally, the traffic demand is uneven in terms of spatial and temporal domains, calling for a dynamic approach to radio resource allocation. To cope with these complexities, a generic and adaptive scheme is required for the efficient operation of Heterogeneous Networks. This article proposes to use a hierarchical and modular framework as an approach to cover the mentioned challenges and to generalize this scheme to different network layers. The proposed management solution is based on three main components: specialized solutions for individual requirements, exposed to the coordination layer, through abstraction middleware. In this approach, new items can be added as plugins.

READ FULL TEXT

page 3

page 5

page 6

research
09/22/2021

A Context-aware Radio Resource Management in Heterogeneous Virtual RANs

New-generation wireless networks are designed to support a wide range of...
research
02/21/2022

Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks

The rapid production of mobile devices along with the wireless applicati...
research
03/07/2018

Optimal performances of a global allocation of radio resources in heterogeneous networks system

The evolution of wireless and mobile networks becomes faster and faster,...
research
05/14/2021

Coopetition methodology for resource sharing in distributed OFDM-based cognitive radio networks

In this paper, we present a distributed resource allocation mechanism in...
research
12/22/2018

Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine Learning

Supporting ultra-reliable low-latency communications (URLLC) is a major ...
research
06/26/2023

Digital Twinning in Smart Grid Networks: Interplay, Resource Allocation and Use Cases

Motivated by climate change, increasing industrialization and energy rel...
research
05/17/2018

Payload-size and Deadline-aware Scheduling for Upcoming 5G Networks: Experimental Validation in High-load Scenarios

High data rates, low latencies, and a widespread availability are the ke...

Please sign up or login with your details

Forgot password? Click here to reset