基于跨网合作认知异构网络资源分配与调度理论研究

Cognitive heterogeneous wireless networks can improve the spectral efficiency to utilize the vacant spectrum from primary heterogeneous wireless networks, and it is an important research area in the 5th generation mobile networks. Since the available spectrum for cognitive heterogeneous wireless networks is limited and dynamic, it is difficult for each cognitive wireless network to satisfy the quality of service at secondary mobile terminal (MT). Based on the inter-network cooperation, the spectrum is aggregated via multiple radio interfaces at each secondary MT from different cognitive wireless networks to support quality of service requirement, and the resource allocation and scheduling problems for cognitive heterogeneous wireless networks are investigated. The contributions of this project are as follows: (i) The call admission control problem, based on multi-leaders Stackelberg game theory, at the network layer is studied; (ii) The content-aware video packet scheduling scheme for each secondary MT at the link layer is designed. (iii) The energy-efficient subchannel and power allocation algorithms at the physical layer are proposed. In order to analyze the competition at cognitive heterogeneous wireless networks, this project utilizes game theory to design the call admission control mechanism and video packet scheduling strategy. Additionally, chance-constrained programming and robustness optimization theory are applied to design the joint subchannel and power allocation algorithms in the dynamic network environment. The novelty of this project has two aspects. Firstly, the resource allocation and scheduling problems for the cognitive heterogeneous wireless networks based on the inter-network cooperation are new and unique. Secondly, the combinations of the theoretical and methodological tools to design the resource allocation and scheduling strategies for cognitive heterogeneous wireless networks are novel. This project can provide a theoretical and experimental basis for the resource allocation and scheduling with the inter-network cooperation at cognitive heterogeneous wireless networks.

认知异构网络利用授权异构网络空闲频谱资源进行通信，它可有效提高频谱利用率，是5G的重要研究内容。在认知异构网络中，频谱资源有限且动态变化，因此单个认知网络很难满足终端服务质量。针对这一难题，本项目将跨网合作技术应用到认知异构网络中，通过终端多个无线端口聚合认知异构网络频谱资源，构建一套适用于认知异构网络基于跨网合作资源分配和调度理论体系，具体研究内容包括：基于多领导者Stackelberg博弈的认知异构网络呼叫接入控制问题、基于内容感知的认知终端视频包调度问题以及基于能效优先的认知异构网络联合子信道和功率分配问题。本项目从分析认知异构网络竞争性的角度引入博弈论构建呼叫接入控制机制和视频包调度策略，并基于机会约束规划和鲁棒优化等理论设计动态网络环境下联合子信道和功率分配算法。研究目标比较新颖且有一定难度，研究方法有一定理论深度，可为推动认知异构网络资源分配和调度理论发展提供理论和实验基础。

认知异构网络利用授权异构网络空闲频谱资源进行通信，它可有效提高频谱利用率，是5G的重要研究内容。在认知异构网络中，频谱资源有限且动态变化，因此单个认知网络很难满足终端服务质量。针对这一难题，本项目将跨网合作技术应用到认知异构网络中，通过终端多个无线端口聚合认知异构网络频谱资源，构建一套适用于认知异构网络基于跨网合作资源分配和调度理论体系，具体研究内容包括：基于多领导者Stackelberg博弈的认知异构网络呼叫接入控制问题、基于内容感知的认知终端视频包调度问题以及基于能效优先的认知异构网络联合子信道和功率分配问题。资助项目执行期间，本人共发表学术论文26篇，其中SCI论文12篇，IEEE期刊15篇，包括IEEE Journal on Selected Areas in Communications、IEEE Transactions on Information Forensics and Security、IEEE Transactions on Wireless Communications、IEEE Transactions on Communications、IEEE Transactions on Cognitive Communications and Networking 、IEEE Transactions on Vehicular Technology等期刊；申请和授权国家发明专利16项。本人举办学术报告2场，参加国际学术会议3场，开展国际学术合作研究2次。在人才培养方面，本人独立指导硕士研究生5名，指导博士研究生2名。

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