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Effective-Capacity-Based Resource Allocation for End-to-End Multi-Connectivity in 5G IAB Networks
IEEE Transactions on Wireless Communications ( IF 8.9 ) Pub Date : 2022-02-07 , DOI: 10.1109/twc.2022.3148203
Cheng Huang 1 , Xin Wang 1 , Xudong Wang 1
Affiliation  

In a 5G integrated backhaul and access (IAB) network, an IAB-donor and multiple IAB-nodes form a multi-hop wireless backhaul network. When a terminal is connected to an IAB-node, the traffic flows generated by the terminal can be backhauled to the IAB-donor. Due to the mobility of terminals, access links are error-prone and cause difficulty in ensuring end-to-end quality of service (QoS) of traffic flows. To improve access link reliability, multi-connectivity is considered in IAB, i.e., a terminal is connected to multiple IAB-nodes. However, to ensure end-to-end QoS, multi-connectivity must be considered together with multi-hop backhauling. Thus, an effective-capacity based resource allocation (eReal) scheme is developed to establish end-to-end multi-connectivity. The objective of the scheme is to guarantee end-to-end QoS and ensure outage probability is below the given threshold. Since traffic flows are classified into the guaranteed bit rate (GBR) and the non-GBR types, the scheme is formulated as two joint route selection and resource allocation problems to provide differentiated services with minimum resource consumption. Since both problems are NP-hard, they are solved using column generation. Performance results show that eReal serves various traffic flows with over 95% QoS guarantees and also significantly outperforms existing schemes.

中文翻译:


5G IAB 网络中端到端多连接的基于有效容量的资源分配



在5G集成回程和接入(IAB)网络中,一个IAB施主和多个IAB节点形成多跳无线回程网络。当终端连接到IAB节点时,终端生成的业务流可以回程到IAB施主。由于终端的移动性,接入链路容易出错,难以保证端到端的业务流质量。为了提高接入链路的可靠性,IAB中考虑了多连接性,即一个终端连接多个IAB节点。然而,为了确保端到端的QoS,必须同时考虑多连接和多跳回程。因此,开发了一种基于有效容量的资源分配(eReal)方案来建立端到端的多连接。该方案的目标是保证端到端的QoS并确保中断概率低于给定的阈值。由于业务流被分为保证比特率(GBR)和非GBR类型,因此该方案被制定为两个联合路由选择和资源分配问题,以最小的资源消耗提供差异化​​服务。由于这两个问题都是 NP 难题,因此可以使用列生成来解决。性能结果表明,eReal 可以为各种流量提供超过 95% 的 QoS 保证,并且显着优于现有方案。
更新日期:2022-02-07
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