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挖掘未使用和未充分利用的频谱，提高频谱利用率。在这个研究项目中，我们将利用在无线电资源管理（RRM）领域获得的专业知识和知识，广泛研究认知无线电资源管理（CRRM）和相关的使能技术，并开发实用的算法。研究更快、更准确的频谱感知及其对资源利用、公平、高效的频谱共享、无线电资源分配和管理以及无线电接入技术的影响。为了在认知无线网络中普遍提供更高的数据速率和稳定的质量，扩频和多载波传输技术将以新颖的方式结合起来，以便主要和次要（认知）用户在访问频谱时有效使用。该组合接入技术机制利用窄带子载波有效地提供多用户接入，同时通过分散无线信道的频率、时间和多径分集提高性能。这样的系统将在CRRM中提供更大的灵活性，但会产生复杂的技术挑战。在识别服务质量约束的同时，研究自适应子载波分配、实时速率适应和优化功率分配中的跨层交互作用，将实现CRRM框架及其相关技术的开发。跨层交互将优化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。该研究项目将帮助加拿大的通信和信息技术行业继续保持领先地位，特别是使无线服务提供商和供应商在增加无线系统容量的同时，支持更好、更多样化的高质量服务和产品。

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.