6月3号在新主楼第四会议室举行了实验室的workshop，这次workshop有两位同学为我们报告了他们研究工作的最新进展，内容如下：

姚楚婷
Title: Energy-saving Resource Allocation by Exploiting the Context Information
Abstract: Improving energy efficiency of wireless systems by exploiting the context information has received considerable attention as the smart phone market keeps expanding. In this talk, I will introduce energy-saving resource allocation policy for multiple base stations serving non-real-time traffic by exploiting three levels of context information, where the background traffic is assumed to occupy only partial resources. Based on the solution from a total energy minimization problem with perfect future information, a context-aware BS sleeping, scheduling and power allocation policy is proposed by estimating the required future information with three levels of context information. Simulation results show that our policy provides significant gains over those without exploiting any context information. Moreover, it is seen that different levels of context information play different roles in saving energy and reducing outage in transmission.  

佘昌洋
题目：利用用户位置预测信息的高能效设计——点播式视频业务
摘要：如今，点播式视频业务得到内容供应商广泛应用，并严重导致了移动通信网络的能耗增加。因此，在保证点播式视频业务的服务质量的前提下，提高网络能效已经成为一个紧急的任务。最近的研究表明，用户移动是高度可预测的，而且利用未来用户的信息可以提升系统能效。但是已有方法仅仅考虑了在时域配置数据率来提高系统能效。在这部分工作中，我们研究如何将更物理层资源配置和未来用户位置信息结合起来，以提升正交频分复用（OFDM）系统服务点播式视频业务的能效。我们首先建立了一个优化问题。在保证点播式视频业务服务质量需求的前提下，通过在时域配置带宽和在时域和频域配置发射功率来提升能效。接下来，我们证明这个问题是一个凸问题，并提出了一个两步方法求解最优解。仿真结果表明，用了更复杂的物理层资源配置方法达到的能效大约是已有方法达到的能效的两倍。