面向群业务的移动互联网自适应资源分配机制

Adaptive resource allocation for group-service over mobile internet

现有的移动互联网资源分配机制大多面向单一业务,无法高效支持群业务。针对这一问题,提出一种面向群业务的自适应资源分配机制。综合考虑动态变化的异构网络环境、群业务特征和用户需求,采用吸引子选择模型来计算备选网络的优先级;在此基础上,运用逼近理想接入网络法对备选网络进行多属性判决,为群业务选择适宜的接入网络。仿真结果表明,该机制显著提高了用户体验和网络资源的利用率。

Most existing resource allocation mechanisms consider single-service and fail to efficiently support group-service over mobile internet. To address this problem, an adaptive resource allocation mechanism for group-service was proposed. The dy- namic heterogeneous network environment, group-service characteristics and user requirements were taken into account. Then, an attractor selection model was applied to calculate alternative network priorities, on which an effective method was designed to make a multi-attribute decision. In this way, the ideal access network was approached, and therefore a suitable access network was chosen. Simulation results demonstrate that the proposed mechanism achieves significant performance improvement in terms of QoE and network resource utilization.