Resource Management in Cognitive Radio-based Virtualized Heterogeneous Wireless Access Networks
Resource Management in Cognitive Radio-based Virtualized Heterogeneous Wireless Access Networks
批准号:
RGPIN-2015-05199
负责人:
Agarwal, Anjali
金额:
$1.6万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31
中文摘要
下一代无线系统(第五代(5G))正在以异构性的愿景开发,其中移动用户/设备将能够连接到多个无线网络。然而,由于每个节点中的可用频带因位置和网络的不同而不同,因此在多跳传输场景中管理资源变得特别具有挑战性。异质无线接入网络中的资源分配和网络选择,基于网络的认知能力,快速有效的垂直切换机制,以及服务质量的提供是与无线接入网络发展相关的一些主要研究问题。广域网应根据其收入和网络负载动态调整向另一无线接入网络提供的服务价格,以便能够成功地与其他无线接入网络竞争。因此,资源分配和多网络选择的构建依赖于通过不同的异质网络域提供的价格。认知网络的频谱交易模式带来了额外的研究挑战,即规定所提供频谱的大小和价格,以最大化其许可用户的利润,同时维持他们的服务质量,保护他们的频谱专用权,并确保非许可用户的服务质量。*有线网络的虚拟化是主导趋势,但基于基础设施的无线网络几乎没有被讨论,这是工业界和学术界都非常感兴趣的一个活跃领域,因为它具有提高资源利用率和创造新服务的潜力。虚拟HWAN将提供一种可能的解决方案来简化资源管理和频谱共享-基站级别的虚拟化以支持多种不同的物理层和MAC层标准,网络级别的虚拟化以优化网络资源分配,以及跨域的异质无线接入网络以实现受各个接入网络中的服务质量约束的总体网络收入。*因此,本方案将试图阐述和解决基于虚拟认知无线电的异构无线接入网络中高效资源管理的设计和运营相关的关键研究挑战和问题,重点关注要求持续的端到端服务质量和跨多个异构网络域最大化利润的实时流量需求。这项拟议的研究将有助于从服务提供商的角度对不同类型的无线接入网络进行研究,从而优化整体网络收入并支持基于服务质量的多媒体应用。**
英文摘要
Next generation wireless systems (Fifth generation (5G)) are being developed with the vision of heterogeneity in which a mobile user/device will be able to connect to multiple wireless networks. However, since the available bands in each node vary from location to location, and network to network, managing resources becomes particularly challenging in a multi-hop transmission scenario. Resource allocation and network selection in heterogeneous wireless access networks (HWAN), based on the cognitive capability of that network, fast and efficient vertical handoff mechanisms, and provisioning of QoS are some of the major research issues related to the development of HWANs.****Pricing mechanisms for packet data services do not consider the interactions among the multiple WANs. A WAN should dynamically adapt the service price offered to another wireless access network based on its revenue and network load, such that it can successfully compete with other wireless access networks. Resource allocation and the construction of the multi-network selection therefore depends on the price offered through the different heterogeneous network domains. The spectrum trading paradigm of cognitive networks imposes additional research challenges of specifying the size and the price of the offered spectrum to maximize the profit of its licensed users while maintaining their QoS and protecting their rights for exclusive usage of spectrum and assuring the QoS for unlicensed users.****Virtualization of wired networks being the leading trends, little has been discussed in infrastructure based wireless networks, which is an active area of interest to both the industry and the academia as it has the potential to improve resource utilization and create new services. Virtualized HWAN will provide one possible solution to simplify resource management and spectrum sharing - virtualization at the base station level to support multiple heterogeneous physical and MAC layer standards, virtualization at the network level to optimize the network resource allocations, and cross-domain heterogeneous wireless access network for overall network revenue subject to the QoS constraints in the individual access networks. ****Therefore, this proposal will attempt to elaborate and address key research challenges and problems related to the design and operation of efficient resource management in the virtualized cognitive radio-based heterogeneous wireless access network, focusing on the real-time traffic demand that requires continuous end-to-end QoS and maximizes profits across multiple heterogeneous network domains. The proposed research will be instrumental in heterogeneous wireless access networks and first of its kind from the service providers' perspective for optimizing the overall network revenue and supporting QoS-based multimedia applications.**
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