一种基于遗传算法的社会网络移动模型

与传统的随机移动模型相比，本文提出的社会网络移动模型旨在生成更符合实际数据统计规律的移动场景。本文从进化的角度研究复杂行为产生的原因，提出了基于遗传算法的社会网络移动模型GAMM，使用“社会收益”与“移动开销”之比作为衡量节点运动轨迹环境适应性的准则，使复杂的移动特性在简单的进化过程中涌现出来。本文还提出探索者模型和交通工具模型来证明GAMM具有较高的扩展性，并通过一个网络仿真的实例来研究社会网络移动模型对移动自组织网络协议性能的影响。

Spatial dynamic spectrum access opportunities in TV whitespace of Beijing

This paper reports the discovery of the indoor spatial spectral holes in TV white space based on the real measurement in the urban area of Beijing China. Despite the heavy utilization of TV signal bands, which result in little temporary and frequency vacancy, there are extensive indoor spatial spectral holes existed. We infer that about 18% urban indoor area of Beijing has spatial frequency holes indoor based on the mobile spectrum measurement results. We further justify that the observed spatial spectral hole can be used by CR users forming a low power short distance small cell, and calculate the maximum power for the CR devices working in the indoor spatial spectral hole without causing interference to nearby TV receivers. The research on spatial spectral holes provide extensive spectrum access opportunities for employing emerging dynamic spectrum access technology to meet the massive demands for future wireless services.