Two-Level Allocation for H-CRAN Architecture Based in Offloading

AUTOR(ES)

Gonçalves, Mariane de Paula da Silva

FONTE

J. Microw. Optoelectron. Electromagn. Appl.

DATA DE PUBLICAÇÃO

19/06/2019

RESUMO

Abstract The accelerated data and apps growth represents significant challenges to the next generation of mobile networks. Amongst them, it is highlighted the necessity for a co-existence of new and old patterns during the transition of architectures. Thus, this paper has investigated solutions for offloading into a hybrid architecture, also known as H-CRAN (Heterogeneous Cloud Radio Access Network Architecture), that centralizes processing and searches a better use of the network resources. The strategy of optimization was analyzed through the evolutive algorithm PSO (Particle Swarm Optimization), in order to find a suboptimal solution to the TLA (Two-Level Allocation) in the H-CRAN architecture and another one based on FIFO (First In, First Out), for benchmarking purposes. SNR (Signal-to-noise ratio) average, Maximum Bit Rate, the number of users with or without connections and number of connections in RRHs and macro were used as performance measurements. Through the results, it was noticed an improvement of approximately 60% in the Maximum Bit Rate when compared to the traditional approach, enabling better service to the users.

Documentos Relacionados

• An efficient two-level preconditioner based on lifting for FEM-BEM equations
• Berry's phase in the two-level model
• Parallel Implementation of a Two-level Algebraic ILU(k)-based Domain Decomposition Preconditioner
• A perturbed two-level model for exciton trapping in small photosynthetic systems.
• Coherent properties and rabi oscillations in two-level donor systems