TWO-LEVEL ALLOCATION FOR H-CRAN ARCHITECTURE BASED IN OFFLOADING

Authors

  • Mariane de Paula da Silva Gonçalves
  • Matheus Barros Leto
  • Rafael Fogarolli Vieira
  • Fabrício José Brito Barros
  • Diego Lisboa Cardoso

DOI:

https://doi.org/10.1590/2179-10742019v18i21484

Keywords:

Mobile Networks, 5G, H-CRAN, QoS, Offloading, TLA

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 allocation of two levels (TLA) in the H-CRAN architecture and another one based on FIFO (First In, First Out), for benchmarking purposes. SNR (Noise Interference Signal) 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 a better service to the users.

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Published

2020-04-10

How to Cite

Mariane de Paula da Silva Gonçalves, Matheus Barros Leto, Rafael Fogarolli Vieira, Fabrício José Brito Barros, & Diego Lisboa Cardoso. (2020). TWO-LEVEL ALLOCATION FOR H-CRAN ARCHITECTURE BASED IN OFFLOADING. Journal of Microwaves, Optoelectronics and Electromagnetic Applications (JMOe), 18(2), 141-156. https://doi.org/10.1590/2179-10742019v18i21484

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Section

Regular Papers