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Joint Optimization of User Association and Resource Allocation for Millimeter-Wave Integrated Backhaul and Access Network

机译:毫米波集成回程和接入网络的用户关联和资源分配联合优化

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摘要

Since the millimeter wave integrated backhaul and access network(mm-Wave IBAN) can divide the resource ratio between the access and the backhaul link as needed, there is a huge advantage in the improvement of the utilization rate for 5G communication network. A joint optimization method of user association and resource allocation is proposed and implemented for the mm-Wave IBAN from the perspective of the maximization of the transmission traffic in the whole network. The joint optimization problem of the user association and the resource allocation is formulated as a combined non-convex optimization problem, and then the problem is decomposed into two sub-problems. The first sub-problem, which is aimed at the maximization of the whole access rate, is the problem of the user association under the condition of the match between the access rate and backhaul rate. The second sub-problem, which is aimed at the maximization of the whole traffic of the network, is the problem of the resources allocation between the access link and backhaul link. The artificial immune optimization algorithm (IOA) is used to solve the first sub-problem. After that, the optimal transmission resource ratio between the access link and backhaul link is obtained according to the differentiating of the expression for the whole traffic. The simulation results show that the proposed method has more gains in the improvement of the whole network traffic when compared with the user association mechanism based on the nearest distance.
机译:由于毫米波集成回程和接入网络(MM-WAVE IBAN)可以根据需要划分访问和回程链路之间的资源比,因此在提高5G通信网络的利用率方面存在巨大的优势。从整个网络中传输业务的最大化的角度,提出了用户关联和资源分配的联合优化方法,并为MM-Wave IBAN实现。用户关联的联合优化问题和资源分配被制定为组合的非凸优化问题,然后问题被分解成两个子问题。旨在最大化整个访问率的第一子问题是用户关联在访问率和回程之间的匹配条件下的问题。旨在最大化网络的全部流量的第二个子问题是访问链路和回程链路之间的资源分配问题。人工免疫优化算法(IOA)用于解决第一子问题。之后,根据整个流量的表达式来获得访问链路和回程链路之间的最佳传输资源比。仿真结果表明,当基于最近距离的用户关联机制相比,该方法在整个网络流量的改进方面具有更大的增益。

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