超密集网络中小小区分簇和子载波分配算法
超密集网络中,严重的小区间干扰制约了终端用户尤其是边缘用户的数据速率。有效地对干扰进行管理、提升边缘用户的数据速率是超密集网络中的研究难点。在超密集网络架构的基础上,提出一种基于图论的不完全染色算法,对网络架构中的基站划分簇,同簇内的不同基站共享频带资源。同时,提出一种子载波分配算法,优先为边缘用户分配信道增益较优的子载波。通过仿真表明,不完全染色算法能够有效地减小小区间干扰,提升系统吞吐量,子载波分配算法在不影响系统吞吐量的基础上能够优化边缘用户的吞吐量。...
Saved in:
| Published in | 电子技术应用 Vol. 43; no. 7; pp. 104 - 109 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
重庆邮电大学新一代宽带移动通信重点实验室,重庆400065%重庆邮电大学通信与信息工程学院,重庆,400065
2017
重庆邮电大学通信与信息工程学院,重庆400065 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0258-7998 |
| DOI | 10.16157/j.issn.0258-7998.2017.07.027 |
Cover
| Summary: | 超密集网络中,严重的小区间干扰制约了终端用户尤其是边缘用户的数据速率。有效地对干扰进行管理、提升边缘用户的数据速率是超密集网络中的研究难点。在超密集网络架构的基础上,提出一种基于图论的不完全染色算法,对网络架构中的基站划分簇,同簇内的不同基站共享频带资源。同时,提出一种子载波分配算法,优先为边缘用户分配信道增益较优的子载波。通过仿真表明,不完全染色算法能够有效地减小小区间干扰,提升系统吞吐量,子载波分配算法在不影响系统吞吐量的基础上能够优化边缘用户的吞吐量。 |
|---|---|
| Bibliography: | ultra dense network ; interference coordination ; clustering ; subcarrier allocation Huang Junwei1,2, Zhou Pengguang1, Zhang Renchi1 , Teng Deyang1, Xu Hao1（1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China ;2. Key Lab of New Generation Broadband Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China） In the ultra dense network, the serious inter-cell interference has restricted the data rate of the users, especially the cell edge users. Effectively managing the interference and enhancing the data rate of the cell edge users are the difficult points in the ultra dense network. Based on the ultra dense network architecture, this paper proposes a new graph-based incomplete coloring algorithm, which divides the cells into several cluster in the network architecture and the different cells may share the spectrum in the same cluster. At the same time, this paper proposes a subca |
| ISSN: | 0258-7998 |
| DOI: | 10.16157/j.issn.0258-7998.2017.07.027 |