首页> 外文期刊>IEEE transactions on wireless communications >Delay-Oriented QoS-Aware User Association and Resource Allocation in Heterogeneous Cellular Networks
【24h】

Delay-Oriented QoS-Aware User Association and Resource Allocation in Heterogeneous Cellular Networks

机译:异构蜂窝网络中面向延迟的QoS感知用户关联和资源分配

获取原文
获取原文并翻译 | 示例
           

摘要

To meet ever-growing mobile data traffic, network spatial densification with various low-power nodes in addition to the conventional high-power macro base stations, also known as heterogeneous network (HetNet), is regarded as one key enabling solution. Due to the unplanned nature, HetNets are very irregular and severe interference can happen without judicious designs of the user association rules. Most prior works assumed best-effort traffic and sought the optimal association to maximize metrics, such as the sum of log-rates. In the case of bursty traffic with quality-of-service (QoS) requirements, existing association schemes cannot fully release the traffic offloading capabilities of HetNets. In this paper, we model the downlink traffic to individual mobile station explicitly. Aiming to minimize the network-wide packet delay, we investigate the optimal user association scheme and the corresponding resource allocation algorithm. We then propose the QoS-aware user association (QoSA) strategies of different flavors enjoying low complexity and guaranteed convergence. Furthermore, the proposed QoSA algorithms are readily implemented in distributed manners. Extensive network simulations are carried out to corroborate our designs.
机译:为了满足不断增长的移动数据流量,除了传统的高功率宏基站(也称为异构网络(HetNet))之外,具有各种低功率节点的网络空间致密化被视为一种关键的解决方案。由于计划外的性质,HetNet非常不规则,如果不对用户关联规则进行明智的设计,就会发生严重的干扰。多数先前的工作都假设尽力而为流量,并寻求最佳关联以最大化度量标准,例如对数速率之和。对于具有服务质量(QoS)要求的突发流量,现有的关联方案无法完全释放HetNets的流量卸载功能。在本文中,我们显式地建模到单个移动台的下行链路流量。为了最大程度地减少网络范围的数据包延迟,我们研究了最佳用户关联方案和相应的资源分配算法。然后,我们提出了不同口味的QoS感知用户关联(QoSA)策略,这些策略具有较低的复杂度和保证的收敛性。此外,所提出的QoSA算法易于以分布式方式实现。进行了广泛的网络仿真,以证实我们的设计。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号