Meta-heurı́stica para Alocação de Recursos Aplicada a Redes de Acesso Centralizado

  • Rita de C. P. Cunha UFPA
  • Rafael F. Vieira UFPA
  • Paulo H. A. Pereira UFPA
  • Igor W. A. Falcão UFPA
  • Daniel da A. Souza UFPA
  • Diego L. Cardoso UFPA

Resumo


O crescimento da demanda por acesso à informação, gerado por aplicativos multimı́dia, é um dos desafios da nova geração de redes móveis. Uma das arquiteturas propostas para suportar esse tráfego é a Cloud Radio Access Network (C-RAN), a qual centraliza o poder de processamento para resolver o desbalanceamento de carga, alocando recursos de acordo com a demanda da rede. Este artigo propõe um modelo de alocação de recursos otimizado que realiza o balanceamento de carga em BBUs (Baseband Units). Para este fim, foi desenvolvido um DPSO (Discrete Particle Swarm Optimization) que otimiza a função objetivo proposta. Resultados apontam desempenho superior desta função objetivo em comparação ao benchmarking proposto, tanto em cenários de alta, como em baixa densidade de trafégo.

Referências

Al-Falahy, N. and Alani, O. Y. (2017). Technologies for 5G Networks: Challenges and Opportunities. IT Professional, 19(1):12–20.

Al-obaidi, R., Checko, A., Holm, H., and Christiansen, H. (2015). Optimizing Cloud- RAN Deployments in Real-Life Scenarios using Microwave Radio. European Confe- rence on Networks and Communications (EuCNC), pages 159–163.

Bartelt, J., Rost, P., Wubben, D., Lessmann, J., Melis, B., and Fettweis, G. (2015). Fronthaul and Backhaul Requirements of Flexibly Centralized Radio Access Networks. IEEE Wireless Communications, 22(5):105–111.

Bhaumik, S., Chandrabose, S. P., Jataprolu, M. K., Kumar, G., Muralidhar, A., Polakos, P., Srinivasan, V., and Woo, T. (2012). CloudIQ: A Framework for Processing Base Stations in a Data Center. Proceedings of the 18th annual international conference on Mobile computing and networking, pages 125–136.

Boulos, K., El Helou, M., and Lahoud, S. (2015). RRH Clustering in Cloud Radio Access Networks. In Applied Research in Computer Science and Engineering (ICAR), 2015 International Conference on, pages 1–6. IEEE.

Checko, A., Holm, H., and Christiansen, H. (2014). Optimizing Small Cell Deployment by the use of C-RANs. European Wireless.

Chen, K. and Duan, R. (2011). C-RAN the Road Towards Green RAN. China Mobile Research Institute, white paper, 2.

Chen, Y.-S., Chiang, W.-L., and Shih, M.-C. (2018). A Dynamic BBU-RRH Mapping Scheme using Borrow-and-lend approach in Cloud Radio Access Networks. IEEE Systems Journal, 12(2):1632–1643.

Cisco, V. (2017). Cisco Visual Networking Index: Forecast and Methodology 2016– 2021.(2017).

da Paixão, E. A. R., Vieira, R. F., Araújo, W. V., and Cardoso, D. L. (2018). Optimized Load Balancing by Dynamic BBU-RRH Mapping in C-RAN Architecture. In Fog and Mobile Edge Computing (FMEC), 2018 Third International Conference on, pages 100–104. IEEE.

De Castro, L. N. and Von Zuben, F. J. (2005). Recent Developments in Biologically inspired Computing. Igi Global.

Duan, T., Zhang, M., Wang, Z., and Song, C. (2016). Inter-BBU Control Mechanism for Load Balancing in C-RAN-based BBU pool. In Computer and Communications (ICC), 2016 2nd IEEE International Conference on, pages 2960–2964. IEEE.

Ericsson (2014). Connecting the dots: Small Cells Shape up for High-Performance Indoor Radio. Ericsson Review.

Gonçalves, M. D. P. D. S. e. a. (2018). Abordagem de Offloading para a Alocação de Dois Nı́veis em uma Arquitetura H-CRAN. VIII Conferência Nacional em Comunicações, Redes e Segurança da Informação, pages 79–80.

Gupta, A. and Jha, R. K. (2015). A Survey of 5G Network: Architecture and Emerging Technologies. IEEE access, 3:1206–1232.

Khan, M., Alhumaima, R., and Al-Raweshidy, H. (2015). Quality of Service aware Dyna- mic BBU-RRH Mapping in Cloud Radio Access Network. In Emerging Technologies (ICET), 2015 International Conference on, pages 1–5. IEEE.

Khan, M., Alhumaima, R. S., and Al-Raweshidy, H. S. (2017). Qos-Aware Dynamic RRH Allocation in a Self-Optimized Cloud Radio Access Network with RRH proximity Constraint. IEEE Transactions on Network and Service Management, 14(3):730–744.

Khan, M., Fakhri, Z. H., and Al-Raweshidy, H. S. (2018). Semistatic Cell Differentiation and Integration with Dynamic BBU-RRH Mapping in Cloud Radio Access Network. IEEE Transactions on Network and Service Management, 15(1):289–303.

Network, E. U. T. R. A. (2011). Self-Configuring and Self-Optimizing Network (SON) Use Cases and Solutions. Third Generation Partnership Project (3GPP) specification TR, 36:V9.

Pan, C., Elkashlan, M., Wang, J., Yuan, J., and Hanzo, L. (2018). User-Centric C-RAN Architecture for Ultra-Dense 5G Networks: Challenges and Methodologies. IEEE Communications Magazine, 56(6):14–20.

Pfeiffer, T. (2015). Next Generation Mobile Fronthaul and Midhaul Architectures [invi- ted]. IEEE/OSA Journal of Optical Communications and Networking, 7(11):B38–B45.

Schulz, D., Jungnickel, V., Alexakis, C., Schlosser, M., Hilt, J., Paraskevopoulos, A., Grobe, L., Farkas, P., and Freund, R. (2016). Robust Optical Wireless Link for the Backhaul and Fronthaul of Small Radio cells. Journal of Lightwave Technology, 34(6):1523–1532.

Souza, D. d. S., Teixeira, C. A. d. M., Seruffo, M. C. d. R., and Cardoso, D. L. (2017). Modelagem de Custo para Redes Móveis Centralizadas de Nova Geração. In Anais do XXII Workshop de Gerência e Operação de Redes e Serviços (WGRS-SBRC 2017), volume 22. SBC.

Wu, J., Zhang, Z., Hong, Y., and Wen, Y. (2015). Cloud Radio Access Network (C-RAN): a primer. IEEE Network, 29(1):35–41.

Yan, B., Zhao, Y., Yu, X., Wang, W., Wu, Y., Wang, Y., and Zhang, J. (2018). Tidal- traffic-aware Routing and Spectrum Allocation in Elastic Optical Networks. Journal of Optical Communications and Networking, 10(11):832–842.

Yao, J. and Ansari, N. (2018). Qos-aware Joint BBU-RRH Mapping and User Association in Cloud-RANs. IEEE Transactions on Green Communications and Networking.
Publicado
09/07/2019
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CUNHA, Rita de C. P.; VIEIRA, Rafael F.; PEREIRA, Paulo H. A.; FALCÃO, Igor W. A.; SOUZA, Daniel da A.; CARDOSO, Diego L.. Meta-heurı́stica para Alocação de Recursos Aplicada a Redes de Acesso Centralizado. In: SEMINÁRIO INTEGRADO DE SOFTWARE E HARDWARE (SEMISH), 46. , 2019, Belém. Anais do XLVI Seminário Integrado de Software e Hardware. Porto Alegre: Sociedade Brasileira de Computação, july 2019 . p. 149-160. ISSN 2595-6205. DOI: https://doi.org/10.5753/semish.2019.6575.