Cognitive radio resource management

认知无线电（CR）技术旨在通过在动态变化的环境中利用未使用和未充分利用的频谱来提高频谱利用率。在这项研究计划中，我们将利用在无线电资源管理（RRM）领域获得的专业知识和专有技术，广泛研究认知无线电资源管理（CRRM）和相关的使能技术，并开发实用算法。更快和准确的频谱感知及其对资源使用，公平和有效的频谱共享，无线电资源分配和管理，以及无线电接入技术的影响将被调查。为了在认知无线电网络中普遍提供具有鲁棒质量的更高数据速率，扩频和多载波传输技术将以新颖的方式组合，以供初级和次级（认知）用户在接入频谱时有效使用。这种联合接入技术在分散的无线信道中利用窄带子载波提供多用户接入，同时通过频率、时间和多径分集提高系统性能。这样一个系统将提高档案资源管理的灵活性，但也会带来复杂的技术挑战。CRRM框架与相关技术的发展将通过研究自适应子载波分配、实时速率自适应和优化功率分配中的跨层交互来实现，同时识别服务质量约束。跨层交互将使用马尔可夫模型和分析，矩阵和决策理论，以及非线性优化技术进行优化。该研究计划将帮助加拿大的通信和信息技术行业继续保持领先地位，特别是有利于无线服务提供商和供应商，以支持更好和多样化的高质量服务和产品，同时增加无线系统容量。

Cognitive radio (CR) technology aims to increase spectrum utilization by exploiting unused and under-utilized spectrum in dynamically changing environment. In this research program, we will use the expertise and know-hows gained in radio resource management (RRM) areas to extensively research cognitive radio resource management (CRRM) and associated enabling technologies and to develop practical algorithms. Faster and accurate spectrum sensing and its impact on resource usage, fair and efficient spectrum sharing, allocation of radio resources and management, and radio access technology will be investigated. To provide higher data rates ubiquitously with robust quality in cognitive radio networks, spread spectrum and multicarrier transmission technologies will be combined in novel ways for the effective use by primary and secondary (cognitive) users in accessing the spectrum. The combined access technology mechanism would utilize narrowband subcarriers to provide multiuser access effectively while increasing the performance through frequency, time and multipath diversity in disperse wireless channels. Such a system would offer increased flexibility in CRRM but create complex technical challenges. The development of CRRM framework with associated technologies will be achieved by investigating cross layer interactions in adaptive subcarrier allocation, real-time rate adaptation and optimized power allocation while recognizing quality of service constraints. Cross-layer interactions will be optimized using Markovian models and analysis, matrix and decision theories, and non-linear optimization techniques. This research program will help Canada's communication and information technology industry to continue to lead, and in particular benefit wireless service providers and vendors to support better and diverse high quality services and product offerings while increasing wireless system capacity.