一种改进的虚拟局域网比例公平无线资源管理方案

B. Rouzbehani, L. Correia, Luisa Caeiro
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引用次数: 6

摘要

本文提出了一种基于比例公平准则的虚拟无线接入网无线资源管理模型,该模型也适用于处理容量不足,无法以可接受的服务水平向所有用户提供服务的极端情况。提供四种不同服务类别的单个虚拟网络运营商通过一个称为虚拟无线电资源管理(VRRM)的中央实体协商为其用户提供服务所需的容量。VRRM的主要目标是最大限度地利用资源,同时在不同服务之间保持公平分配数据速率。然而,在极端情况下,算法被修改以根据提供的流量负载做出不同的反应。一般来说,它继续为具有最严格的服务质量(QoS)和最低保证数据速率的用户提供服务,而其他具有最低QoS优先级服务的用户则越来越延迟。通过一个实际的异构网络场景和不同的评估指标对该算法的性能进行了评估。结果表明,在容量足够的情况下,该算法能够在保证公平性的前提下满足预定义的服务水平协议,而在极端情况下,该算法只会延迟足够数量的用户以释放高优先级服务的容量。在这两种情况下,该算法都能够最大限度地利用资源。
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A modified proportional fair radio resource management scheme in virtual RANs
This paper proposes a model for radio resource management in virtualised radio access networks, based on the criterion of proportional fairness, which is also adapted to deal with the situations when there is not enough capacity to serve all subscribers with an acceptable level of service, the so-called the extreme case. A single virtual network operator providing four different classes of services negotiates the required capacity to serve its subscribers, from a centralised entity called Virtual Radio Resource Management (VRRM). The main goals of VRRM are to maximise the utilisation of resources, while maintaining a level of fairness in the allocation of data rate among different services. However, under extreme situations, the algorithm is modified to react differently, according to the offered traffic load. In general, it keeps serving a number of users having the stringiest Quality of Service (QoS), with the minimum guaranteed data rate, while the rest of users performing lowest QoS priority services are increasingly delayed. The performance of the proposed algorithm is evaluated through a practical heterogeneous network scenario and different evaluation metrics. Results show that when there is enough capacity, the algorithm is capable of satisfying the predefined service level agreements, while keeping fairness, whereas under extreme situations, it delays just enough number of users to free capacity for high priority services. In both cases, the algorithm is capable of maximising the utilisation of resources.
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