Parallel Multi-hop Routing Protocol for 5G Backhauling Network Using HPC Platform

Somaya A. Aboulrous, A. El-Moursy, M. Saad, Amany Abdelsamea, S. Nassar, Hazem M. Abbas
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Abstract

Fifth generation (5G) systems are considered as the future of telecommunications and data processing. 5G systems are envisaged to increase current network capacity by 1000-fold. In addition to increasing spectral efficiency and utilizing wider bandwidths, ultra network densification with wireless small cells is considered a significant capacity-enhancing method for meeting the ever-increasing demand of 5G data traffic requirements. The enormous amounts of data traffic generated in inter-small-cell 5G backhaul networks require efficient routing protocols to speed up the routing decisions, while ensuring high data rates, low latency, and low power consumption requirements. Therefore, a parallel routing protocol is proposed to speed up routing decisions in 5G backhaul networks, using high performance computing (HPC). We explore the efficiency of utilizing HPC to manage and speed up the parallel routing protocol using different communication network sizes. Our numerical results indicate that our HPC implementation achieves a routing speed-up of 37x for large network size (2048).
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基于HPC平台的5G回程网络并行多跳路由协议
第五代(5G)系统被认为是电信和数据处理的未来。预计5G系统将使目前的网络容量增加1000倍。除了提高频谱效率和利用更宽的带宽外,无线小蜂窝的超网络密度被认为是满足日益增长的5G数据流量需求的重要容量增强方法。小蜂窝间5G回程网络中产生的大量数据流量需要高效的路由协议来加快路由决策,同时确保高数据速率、低延迟和低功耗要求。因此,提出一种并行路由协议,利用高性能计算(HPC)加快5G回程网络的路由决策速度。探讨了在不同通信网络规模下,利用高性能计算对并行路由协议进行管理和加速的效率。我们的数值结果表明,我们的HPC实现在大型网络规模(2048)下实现了37倍的路由加速。
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