Joint Bandwidth Orchestration and User Association in 5G Network Slicing

Ken Long, Meiling Qian, Kan Chen, Xiang Yu
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引用次数: 2

Abstract

Network slicing requires the on-demand resource allocation according to the requirements from different slices. In this paper, we aim to incorporate an enhanced Mobile Broadband (eMBB) slice and an ultra-Reliable Low-Latency Communications (uRLLC) slice in the same substrate network, where the eMBB slice aims to receive a high throughput and the uRLLC slice requires a low transmission delay. To achieve the different requirements, we jointly consider user association and bandwidth orchestration in the substrate network, and formulate the problem as a mixed-integer programming (MIP). We propose two different approaches to solve the MIP, i.e., a high-complexity exhaustive search (ES) algorithm and a low-complexity high probability guarantee heuristic (HPGH) algorithm. Simulation results show that our proposed approach can seek the tradeoff between throughput and transmission delay, and allocate on-demand bandwidth resources dynamically.
5G网络切片中的联合带宽编排与用户关联
网络切片需要根据不同切片的需求按需分配资源。在本文中,我们的目标是在同一基板网络中合并增强型移动宽带(eMBB)片和超可靠低延迟通信(uRLLC)片,其中eMBB片的目标是接收高吞吐量,而uRLLC片需要低传输延迟。为了实现不同的需求,我们在基板网络中共同考虑用户关联和带宽编排,并将问题表述为混合整数规划(MIP)。我们提出了两种不同的方法来解决MIP问题,即高复杂度的穷举搜索(ES)算法和低复杂度的高概率保证启发式(HPGH)算法。仿真结果表明,该方法可以在吞吐量和传输延迟之间寻求平衡,并动态分配按需带宽资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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