多元属性资源与多重QoS需求匹配的认知无线电网络频谱分配策略

The cognitive radio technology is an efficient solution to solving the scarcity of spectrum resources in the field of wireless communication. The working environment of next generation wireless communication is complicated and various, such as the heterogeneous spectrum access environment, the dynamically varying spectrum resources and the various demands of traffic transmission, thus makes the high efficient application of cognitive radio technology confronts several vital problems. At the view of matching the spectrum resources with the traffic demands, the project explores the new method of spectrum allocation in cognitive radio networks, which can achieve high efficient spectrum utility while protecting multiple types of traffic quality of service (QoS) demands. The project includes: (1) to quantify and evaluate the spectrum resources, to establish the multiple attribute model of the heterogeneous spectrum; (2) to propose the matching mechanism of the multiple attribute spectrum and multiple QoS demands, to define the spectrum selection criterion of the cognitive user, to satisfy the QoS demands of the multiple traffic; (3) with the constraints to meet the reliable traffic transmission, taking the matching degree of the spectrum resources and traffic demands as the standard to scale the spectrum efficiency, making the overall network utilization of the spectrum as the optimization goal, to establish the optimization model of the spectrum allocation to allocate the spectrum resources efficiently. The project research will promote the application of high efficient allocation of the wireless spectrum resources, and establish a theoretical foundation for rational planning of spectrum of cognitive radio in the next generation wireless communication.

认知无线电技术是解决无线通信领域频谱稀缺的有效途径。下一代无线通信的环境复杂多变，其频谱接入环境异构、频谱资源动态变化及业务传输需求多样，这使得认知无线电技术的高效应用面临诸多严峻问题。本项目从频谱资源与业务需求匹配的角度出发，探索认知无线电网络频谱分配的新方法，在保障多类型业务服务质量（QoS）需求的同时，实现高效的频谱利用。具体包括：(1)量化与评估频谱资源的能力，建立异构频谱的多元属性模型；(2)提出多元属性频谱与多重QoS需求的匹配机理，确定认知用户个体的频谱选择判据，满足多样化业务QoS需求；(3)在满足业务可靠传输的约束下，以频谱资源与业务需求的匹配度作为衡量频谱效率的尺度，以整体网络频谱利用率为优化目标，建立频谱分配的优化模型，高效分配异构的频谱资源。本项目研究将推进无线频谱资源的高效分配应用，可为下一代无线通信中认知无线电网路的频谱合理规划奠定理论基础。

下一代无线通信的环境复杂多变，其频谱接入环境异构、频谱资源动态变化及业务传输需求多样，这使得认知无线电技术的高效应用面临诸多严峻问题。智能交通系统的出现满足了当今社会人们的安全和娱乐需求，然而越来越多智能通信设备的使用增加了网络通信的压力，造成网络中频谱资源的匮乏。将认知无线电技术引入到智能交通领域，在复杂车载网络环境下，完善频谱共享机制，提高网络性能，实现公平高效的资源优化是目前研究亟需解决的问题。项目从频谱资源与业务需求匹配的角度出发，提出认知无线电网络频谱分配的新方法，在保障多类型业务服务质量(QoS)需求的同时，实现高效的频谱利用。 项目通过量化与评估频谱资源的能力，建立了评价异构频谱的多元频谱属性模型；从实时性、服务区分能力、公平性等方面分别提出了多元属性频谱与多重QoS需求的匹配方法，满足多样化业务QoS需求；进一步地，项目具体考虑实际应用场景——智能交通中的认知车载自组织网络，在满足业务可靠传输的约束下，以频谱资源与业务需求的匹配度作为衡量频谱效率的尺度，以整体网络频谱利用率为优化目标，建立频谱分配的优化模型，高效分配异构的频谱资源。项目研究推进了无线频谱资源的高效分配应用，尤其是为智能交通领域引入认知无线电技术，满足复杂车载环境下的频谱合理规划奠定理论基础。