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A novel cluster based resource sharing model for femtocell networks

机译:一种新的基于毫微微小区网络的基于集群的资源共享模型

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Femtocells have been deployed to enhance indoor coverage, improve the system capacity of cellular networks, and increase the spectrum efficiency by means of full subcarrier reuse among macrocell and ferntocells. Nevertheless, the introduction of hybrid access mode imposes new challenges for the resource sharing model in the femtocell networks such as: (1) granting access to public users while guaranteeing QoS of subscriber transmissions, (2) trade-off between level of offloaded traffic from macrocell and bandwidth allocated to femto-tier and (3) appropriate power settings that finds a compromise between the overall system performance and the bandwidth allocated to femtocells. In this paper, we propose a novel cluster formation technique together with a resource sharing model based on Particle swarm optimization technique. Our algorithm aims at maximization of the network throughput and determines the serving base station and the amount of resources per user taking into account user locations, demands, femtocell proximity and traffic load in existing clusters. Simulations are conducted to show the performance of the proposed model contrasted with a benchmark model based on known Weighted Water Filling resource allocation algorithm and known cluster formation technique. (C) 2016 Elsevier B.V. All rights reserved.
机译:毫微微小区已经被部署来增强室内覆盖范围,提高蜂窝网络的系统容量,并通过宏小区和Ferntocell之间的完全副载波重用来提高频谱效率。然而,混合接入模式的引入给毫微微小区网络中的资源共享模型带来了新的挑战,例如:(1)在保证用户传输的QoS的同时授予公共用户访问权限,(2)分配给毫微微层的宏小区和带宽,以及(3)适当的功率设置,这些功率设置在总体系统性能和分配给毫微微小区的带宽之间找到折衷方案。在本文中,我们提出了一种新的集群形成技术以及基于粒子群优化技术的资源共享模型。我们的算法旨在最大程度地提高网络吞吐量,并考虑到用户位置,需求,毫微微小区邻近性和现有集群中的流量负载,确定服务基站和每个用户的资源量。仿真结果表明,与基于已知加权注水资源分配算法和已知簇形成技术的基准模型相比,该模型的性能更好。 (C)2016 Elsevier B.V.保留所有权利。

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