面向工业4.0的下一代无线通信业务传输能效评估机制研究

工业4.0所引发的新一轮信息通信技术(ICT)变革已经到来，下一代无线通信（5G）作为其重要支撑手段，所需支持的业务类型和需求将更复杂。向用户提供高水平的用户体验质量（QoE）是未来无线通信业务发展的制高点，同时引发的能耗持续增加问题令人堪忧。因此，寻找提升QoE与降低业务传输能效之间的有效折中是当前研究的热点。本项目面向工业4.0，研究基于QoE的业务传输能效评估机制，具体包括：（1）系统分析不同业务、不同应用场景下的基于QoE的业务传输能效的评估准则，建立统一的优化模型，构建完整的评估体系。（2）以基于QoE的业务传输能效为优化目标，研究异质异构网络中的休眠机制，合理优化用户端休眠周期、基站休眠数、基站休眠窗口等参数。（3）针对设备间通信(M2M)，以基于QoE的业务传输能效为优化目标，研究并优化深度休眠机制，采用高优先级的能量感知休眠算法和随机休眠算法，从而提高设备续航能力。

Industry 4.0 has induced a new round evolution of information and communication techniques(ICT). The next generation wireless communication(5G) will play a very key role in enabling the 4.0 era, thus involve an increase of wireless business requirements. Providing high quality of experience (QoE) for users is of critical importance to wireless communication future development. However, the rapidly expanding wireless network construction has brought constant increase in communication energy consumption. Therefore, study on how to upgrade QoE while decrease service transmission energy is becoming a hot issue at present.Aiming at address Industry 4.0 ,the project studies the QoE based evaluation and optimization methods for service transmission energy efficiency, which proposes to look for the effective trade-off between improving QoE and reducing transmission energy consumption. Studies will include the following aspects: 1)Systematically analyze the QoE based evaluation criterion of transmission energy efficiency under different services and scenarios, then construct evaluation system and standard optimized model. 2) Taking the QoE based transmission energy efficiency as optimal goal innovatively, through study and optimization the sleep mechanisms in the heterogeneous network,optimize the sleep period of users, the number of sleeping base stations, the sleeping window of the base station, etc to reduce the energy consumption while maintaining QoE of users by using sleeping mechanisms. 3) Taking the QoE based transmission energy efficiency as optimal goal innovatively, through study and optimization the Deep-Sleep scheme of device nodes for Machine-to-machine (M2M)communications in the 5G network. Considering Energy-Aware Sleeping algorithm , High Priority algorithm and Random Deferring algorithm,thus significantly stretching the longerity of the battery life of device nodes.