Dynamically Energy-Efficient Resource Allocation in 5G CRAN Using Intelligence Algorithm

Abstract

5G network is the next generation for cellular networks to overcome the challenges and limitations of the 4G network. Cloud Radio Access Network(C-RAN) is providing solutions for cost-efficient and power-efficient solutions for the 5G network. The aim of this paper proposed an energy-efficient C-RAN to minimize the cost of the network by dynamically allocating BBU resources to RRHs as per facing traffic, and also minimize the energy consumption of centralized BBU resources that affect dynamically allocate of RRHs. Particle Swarm Optimization (PSO) algorithm is a Swarm Intelligence algorithm for optimization of mapping between BBU-RRH for resource allocation in C-RAN. The main objective of the paper is as per resource usage in C-RAN the BBU is put in the active or in-active mode to minimize energy consumption in C-RAN of 5G technology. As per our proposed C-RANapplication, the proposed PSO algorithm 90% minimizes energy consumption and maximizes energy efficiency compared with existing work.

FA-CRAN: A Firefly Algorithm for Dynamic BBU-RRH Mapping in Cloud/Centralized Radio Access Networks

“…In seeking to optimize the mapping between the BBUs and RRHs, the authors of [14] applied the Particle Swarm Optimization (PSO) algorithm, which belongs to the area of Swarm Intelligence, to ensure intelligent utilization of C-RAN resources. The key objective of this study is to reduce network costs through dynamic resource allocation, while also seeking to reduce the energy consumption of C-RAN resources, which directly affects the allocation of RRHs.…”

“…In [17] an energy-efficient C-RAN is proposed for the 5G network. To achieve this, the authors use a Particle Swarm Optimization (PSO) algorithm for resource allocation in C-RAN.…”

“…In [17] there is a discussion about the two-level coverage. In the second stage, two algorithms are used to reduce the number of BBU servers, and hence save energy, which is carried out by consolidating BBUs.…”

“…The equation proposed in [14] wwas used as a restrictive measure. This process involves reducing the number of blocked UEs and, hence, maximizing QoS, as shown in Equation 8.…”

The Network Slicing and Performance Analysis of 6G Networks using Machine Learning

“…Adiraju, P. R., & Voore Subba Rao. [27], stated the dynamic resource allocation in 5G network using intelligent algorithm, and Saeed, A. B., & Gitaffa, S. A.-H [28] described about artificial neural processor used in wireless sensor network.…”