IEEE Access (Jan 2019)

Research on Resource Migration Based on Novel RRH-BBU Mapping in Cloud Radio Access Network for HSR Scenarios

  • Botao Han,
  • Liu Liu,
  • Jiachi Zhang,
  • Cheng Tao,
  • Chencheng Qiu,
  • Tao Zhou,
  • Zheng Li,
  • Zheyan Piao

DOI
https://doi.org/10.1109/ACCESS.2019.2933567
Journal volume & issue
Vol. 7
pp. 108542 – 108550

Abstract

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Cloud radio access network (C-RAN) is considered as a promising architecture for 5G with advantages of green energy, convenient resources allocation. In this paper, we explore the feasibility of C-RAN for high-speed railway (HSR) scenarios. A novel phenomenon of group handover is defined in the extensively and densely distributed railway network and we present a resource migration cost with a closed-form expression to depict the group handover. To reduce the cost, we propose a novel connection relationship between the remote radio head (RRH) and the baseband unit (BBU) pool. Based on this, we establish a flexible network so as to allocate the resource dynamically and formulate a graph by abstracting the RRH-BBU and BBU-BBU mapping relationship. Then the minimization of resource migration cost along the high-speed train (HST) routine is converted into the shortest path problem (SPP). By using the modified Floyd-Warshall algorithm, the SPP can be solved with high efficiency compared with the conventional algorithm. Finally, the simulation result shows that the proposed mechanism can decrease the resources migration cost significantly.

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