在未来无线网络,一个用户将同时要求多重同类或异构的服务。然后,安排算法负责把资源块分到不同用户而且为一个用户在多重服务之中分享分配资源块不仅。大多数传统的安排算法被设计每用户服务一种服务,并且因为公平标准,不能直接被用于这种情形。这篇文章集中于适应资源分配因为多重服务每在直角的频率部门 multiplexing (OFDM ) 的 downlink 的用户基于系统。这篇文章探讨基于用途功能安排问题的这个综合资源。首先,为动态副载波分配和份额的最佳的算法为同类的最好努力的服务系统被推出。然后,算法被分类延期扩大到异构的服务系统敏感服务根据 head-of-line 包延期。设计目标是最大化总数实用程序功能甚至作为为延期保证服务(QoS ) 的质量利用多用户差异获得到最大的程度敏感的服务。
In future wireless network, one user will require multiple homogeneous or heterogeneous services simultaneously. Then, the scheduling algorithm is not only responsible for assigning a resource block to different users but also sharing the assigned resource block among multiple services for one user. Most of the traditional scheduling algorithms are designed to serve one service per user, and cannot be applied directly to this scenario because of the fairness criterion. This article focuses on adaptive resource allocation for multiple services per user at the downlink of orthogonal frequency division multiplexing (OFDM) based system. This article addresses this integrative resource scheduling problem based on utility function. First, the optimal algorithm for dynamic subcarrier allocation and share is deduced for homogeneous best-effort service system. Then the algorithm is extended to heterogeneous services system by classifying the delay sensitive service according to the head-of-line packet delay. The design goal is to maximize aggregate utility function to exploit multiuser diversity gain to the greatest extent even as guaranteeing quality of service (QoS) for delay sensitive service.