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Resource Allocation and Multisession Routing Algorithms in Coordinated Multipoint Wireless Communication Networks

机译:协作多点无线通信网络中的资源分配和多会话路由算法

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In heterogeneous wireless networks, coordinated multipoint technology facilitates coordination and mutual cooperation among various types of networks and applications. The resource requirements of various applications differ considerably under the constraint of limited resources so that the allowable delay is considered. This study considered a centralized management scheme involving fourth-generation (4G) mobile networks Evolved Node B, access points, and back-end coordinated servers. The operator controls the flow and performs routing selection procedures through long-term evolution advanced and Wi-Fi in accordance with the 5G wireless networks. The problem was constructed as a mathematical programming model. A Lagrangian relaxation (LR) approach was adopted to maximize the revenue minus the penalty costs as objective to evaluate the resource allocation, tolerable delay, and multisession routing algorithm. The primal problem was decomposed into seven independent subproblems through LR procedures, and the combination of a subgradient method and a routing algorithm was used to obtain approximate solutions. A novel algorithm for flow control involving multisession routing is proposed for handling resource allocation. The algorithm involving a near-optimal approach was designed to solve the insufficient resource problem. The solution can be used by operators for improving resource utilization in next-generation wireless networks.
机译:在异构无线网络中,协作多点技术促进了各种类型的网络和应用程序之间的协调和相互合作。在有限的资源约束下,各种应用程序的资源要求差异很大,因此考虑了允许的延迟。这项研究考虑了一种集中式管理方案,该方案涉及第四代(4G)移动网络,包括演进的节点B,接入点和后端协调服务器。运营商根据5G无线网络控制流量并通过高级长期演进和Wi-Fi执行路由选择程序。该问题被构造为数学编程模型。为了评估资源分配,可容忍的延迟和多会话路由算法,采用了拉格朗日松弛(LR)方法以最大化收益减去惩罚成本。通过LR程序将原始问题分解为七个独立的子问题,并使用子梯度方法和路由算法的组合来获得近似解。提出了一种涉及多会话路由的流控制新算法,用于处理资源分配。设计了一种包含近乎最优方法的算法来解决资源不足的问题。运营商可以使用该解决方案来提高下一代无线网络中的资源利用率。

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