首页> 外文会议>IEEE International Conference on Signal Processing, Communications and Computing >Cluster-based resource allocation with adaptive CoMP in multi-cell MU-MIMO OFDMA system
【24h】

Cluster-based resource allocation with adaptive CoMP in multi-cell MU-MIMO OFDMA system

机译:多小区MU-MIMO OFDMA系统中具有自适应CoMP的基于集群的资源分配

获取原文
获取外文期刊封面目录资料

摘要

In this paper, we investigate the problem of joint base station (BS) and user equipment (UE) clustering, subcarrier and power allocation in multi-cell multi-user multiple-input multiple-output (MU-MIMO) orthogonal frequency division multiple access (OFDMA) system with the aim of maximizing the system sum rate while minimizing the number of BSs to serve each UE. We propose a dynamic clustering with adaptive coordinated multi-point (CoMP) algorithm (DCAC), to form BS and UE clusters which adapt to the channel state information (CSI) and quality of service (QoS) requirement. For a specified BS and UE cluster set, the optimization problem is transformed into a cluster-based cross-layer resource allocation problem with the aim of maximizing the system capacity. It is solved by the subgradient method for the dual problem. Numerical results show that the subgradient method converges quickly and the proposed DCAC method achieves significant sum rate improvement when compared with the fixed CoMP scheme.
机译:在本文中,我们研究了多小区多用户多输入多输出(MU-MIMO)正交频分多址中的联合基站(BS)和用户设备(UE)集群,子载波和功率分配问题(OFDMA)系统,旨在最大程度地提高系统总和率,同时最大程度地减少为每个UE服务的BS数量。我们提出了一种具有自适应协调多点(CoMP)算法(DCAC)的动态集群,以形成适应信道状态信息(CSI)和服务质量(QoS)要求的BS和UE集群。对于指定的BS和UE群集集,以最大化系统容量为目标,将优化问题转换为基于群集的跨层资源分配问题。通过对偶问题的次梯度方法解决。数值结果表明,次梯度法收敛速度快,与固定CoMP方案相比,所提出的DCAC方法具有明显的求和率提高。

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