Resource Management in Cognitive Radio-based Virtualized Heterogeneous Wireless Access Networks

基于认知无线电的虚拟化异构无线接入网络中的资源管理

• 批准号: RGPIN-2015-05199
• 负责人: Agarwal, Anjali
• 金额: $ 1.6万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=613409
• 关键词: Resource; Management; Cognitive; Radio; based

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.

下一代无线系统（第五代（5G））正在以异构的愿景进行开发，其中移动的用户/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而异，因此在多跳传输场景中管理资源变得特别具有挑战性。异构无线接入网（HWAN）中基于网络认知能力的资源分配和网络选择、快速高效的垂直切换机制以及QoS保障是HWAN发展的主要研究问题。 分组数据服务的定价机制没有考虑多个WAN之间的交互。WAN应该基于其收入和网络负载动态地调整提供给另一无线接入网络的服务价格，使得它可以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取决于通过不同异构网络域提供的价格。认知网络的频谱交易范式提出了额外的研究挑战，指定的大小和价格的频谱，以最大限度地提高其授权用户的利润，同时保持他们的QoS和保护他们的权利，独家使用频谱，并确保服务质量的非授权用户。 有线网络的虚拟化是主要趋势，在基于基础设施的无线网络中讨论很少，这是工业界和学术界感兴趣的活跃领域，因为它具有提高资源利用率和创建新服务的潜力。虚拟化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-在基站级的虚拟化以支持多个异构物理和MAC层标准，在网络级的虚拟化以优化网络资源分配，以及跨域异构无线接入网络，以获得受各个接入网络中的QoS约束的整体网络收入。 因此，本提案将尝试阐述和解决与虚拟化基于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，重点关注需要连续端到端QoS的实时流量需求并最大化多个异构网络域的利润。建议的研究将有助于在异构无线接入网络和第一类从服务提供商的角度优化整体网络收入和支持基于QoS的多媒体应用。