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Cognitive and Game-Theoretical Radio Resource Management for Autonomous Femtocells with QoS Guarantees

机译:具有QoS保证的自主Femtocell的认知和博弈论无线电资源管理

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摘要

To successfully deploy femtocells overlaying the Macrocell as a two-tier that had been shown greatly benefiting communications quality in various manners, it requires to mitigate cross-tier interference between the Macrocell and femtocells, and intra-tier interference among femtocells, as well as to provide Quality-of-Service (QoS) guarantees. Existing solutions therefore assign orthogonal radio resources in frequency and spatial domains to each network, however, infeasible for dense femtocells deployments. It is also difficult to apply centralized resource managements facing challenges of scalability to the two-tier. Considering the infeasibility of imposing any modification on existing infrastructures, we leverage the cognitive radio technology to propose the cognitive radio resource management scheme for femtocells to mitigate cross-tier interference. Under such cognitive framework, a strategic game is further developed for the intra-tier interference mitigation. Through the concept of effective capacity, proposed radio resource management schemes are appropriately controlled to achieve required statistical delay guarantees while yielding an efficient radio resources utilization in femtocells. Performance evaluation results show that a considerable performance improvement can be generally achieved by our solution, as compared with that of state-of-the-art techniques, to facilitate the deployment of femtocells.
机译:为了成功地将宏小区作为两层覆盖的毫微微小区成功部署,这已以各种方式极大地提高了通信质量,它需要减轻宏小区与毫微微小区之间的跨层干扰以及毫微微小区之间的层内干扰以及提供服务质量(QoS)保证。因此,现有的解决方案将频域和空间域中的正交无线电资源分配给每个网络,但是,对于密集的毫微微小区部署是不可行的。面对可伸缩性挑战的集中式资源管理也很难应用于两层。考虑到对现有基础架构进行任何修改的可行性,我们利用认知无线电技术为毫微微小区提出了认知无线电资源管理方案,以减轻跨层干扰。在这样的认知框架下,进一步开发了一种战略游戏来降低层内干扰。通过有效容量的概念,可以适当地控制建议的无线电资源管理方案,以实现所需的统计延迟保证,同时在毫微微小区中产生有效的无线电资源利用率。性能评估结果表明,与最先进的技术相比,通过我们的解决方案通常可以显着提高性能,以促进毫微微小区的部署。

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