能效优先的认知与协作无线通信关键技术研究

The emergence of the mobile Internet results in an explosive growth of wireless communication services and further accelerates the rapid development of wireless infrastructure and terminal equipment, which, however, increases the energy supply burden for the operation of wireless networks. As a consequence, this project aims at investigating the energy-efficient wireless communication networks and consider the employment of cognition and cooperation technologies for energy-efficient wideband cooperative spectrum sensing and cognitive cooperative communications, with an emphasis on addressing the energy efficiency-spectral efficiency tradeoff and the energy efficiency-quality of service tradeoff. The main research steps of this project are described as follows. Firstly, we will develop the compressed sensing based wideband spectrum sensing theory and extract the sparsity characteristics of received signals for the sake of reducing the amount of signal observations and saving the energy consumption in spectrum sensing. Secondly, we will examine energy-efficient cognitive cooperative communication approaches and construct a joint energy efficiency and spectral efficiency model for cognitive communications under imperfect spectrum sensing. Finally, we will explore the energy efficiency oriented sensing-communication tradeoff and study the resource allocation between the spectrum sensing and cognitive communications with the goal of maximizing the energy efficiency. The purpose of this project is to achieve energy-efficient cognitive cooperative communication systems, which would provide both theoretical basis and technical support for the development of future wireless networks.

移动互联网的快速兴起带来了无线业务量的爆发式增长，进一步促进了无线网络基础设施和终端设备的迅猛发展，但这也加剧了无线通信系统的能源供给负担。为此，本项目将以能量有效的无线网络为应用背景，有机结合认知无线电与协作通信两大重要技术手段，研究能效优先的宽带协作频谱感知和认知协作通信理论与方法，着重解决能量效率与频谱效率、能量效率与服务质量之间的折中问题。本项目的整体研究思路包括：首先构建基于压缩感知的高能效宽带频谱感知理论，分析提取感知信号的稀疏特征，以减少感知信号观测量，降低频谱感知的能量消耗；其次寻求能效优先的认知协作通信方法，在非完美频谱感知的情况下，构造认知通信能效与频效的联合优化模型；最后探索面向能效优化的感知与通信折中，通过采用能量效率为优化目标，实现频谱感知与认知通信之间的资源分配与管理。旨在通过上述研究，实现高能效的认知协作通信系统，为未来无线网络的发展提供理论支撑与技术支持。

本项目以绿色无线网络为应用背景，着重探索了高能效的认知协作通信理论与方法，通过利用认知与协作传输技术，改善无线通信的能量效率、频谱利用率、以及传输安全性能。具体来说，首先考虑认知无线网络场景下，在保证用户服务质量和网络容量的前提下，通过在合法用户端设计人工噪声信号，降低窃听信道的接收信干噪比，以此提高认知无线传输的安全能量效率。其次，提出了基于联合认知与协作的绿色无线传输方案，揭示了无线能量效率和可靠性之间的制约机理。最后，考虑到电磁信号本身携带能量，研究了认知携能无线通信系统中的传输安全问题，提出了基于能量采集的用户调度算法，在保证主用户通信服务质量不受影响的情况下，显著降低了无线能量消耗，并改善了认知无线通信的安全可靠折中性能。项目负责人及主要成员出版了Springer学术专著1部，在Proceedings of the IEEE、IEEE Journal on Selected Areas in Communications、IEEE Transactions on Communications、IEEE Transactions on Wireless Communications、IEEE Network、IEEE Communications Magazine、IEEE Transactions on Industrial Informatics、IEEE Transactions on Vehicular Technology等通信领域国际顶级刊物累计发表了SCI检索23篇、EI检索10篇，申请了国家发明专利8项，获省部级二等奖以上科技奖励项目2项，圆满完成了既定的研究计划和预期目标。