Journal of Computer Applications ›› 2019, Vol. 39 ›› Issue (7): 2030-2034.DOI: 10.11772/j.issn.1001-9081.2018122456

• Network and communications • Previous Articles     Next Articles

Partial interference alignment scheme with limited antenna resource in heterogeneous network

LI Shibao, WANG Yixin, ZHAO Dayin, YE Wei, GUO Lin, LIU Jianhang   

  1. College of Computer and Communication Engineering, China University of Petroleum(East China), Qingdao Shandong 266580, China
  • Received:2018-12-12 Revised:2019-01-28 Online:2019-07-10 Published:2019-03-28
  • Supported by:

    This work is partially supported by the Young Scientists Fund of National Natural Science Foundation of China (61601519, 61872385), the Fundamental Research Funds for the Central Universities (18CX02134A, 18CX02137A, 18CX02133A).

异构网络中天线资源有限时的部分干扰对齐方案

李世宝, 王宜馨, 赵大印, 叶伟, 郭琳, 刘建航   

  1. 中国石油大学(华东) 计算机与通信工程学院, 山东 青岛 266580
  • 通讯作者: 李世宝
  • 作者简介:李世宝(1978-),男,山东潍坊人,副教授,硕士,主要研究方向:移动计算、无线传感器网络、干扰对齐;王宜馨(1995-),女,河南南阳人,硕士研究生,主要研究方向:干扰对齐;赵大印(1995-),男,山东聊城人,硕士研究生,主要研究方向:干扰对齐;叶伟(1996-)男,安徽铜陵人,硕士研究生,主要研究方向:干扰对齐;郭琳(1995-),女,山东烟台人,硕士研究生,主要研究方向:干扰对齐;刘建航(1978-),男,辽宁锦州人,副教授,博士,主要研究方向:移动计算、无线传感器网络、车联网。
  • 基金资助:

    国家自然科学基金青年基金资助项目(61601519,61872385);中央高校基本科研业务费专项资金资助项目(18CX02134A,18CX02137A,18CX02133A)。

Abstract:

To solve the problem that the antenna resources in heterogeneous network are limited which leads to the unrealizable Interference Alignment (IA), a partial IA scheme for maximizing the utilization of antenna resources was proposed based on the characteristics of heterogeneous network. Firstly, a system model based on partial connectivity in heterogeneous network was built and the feasibility conditions for entire system to achieve IA were analyzed. Then, based on the heterogeneity of network (the difference between transmitted power and user stability), the users were assigned to different priorities and were distributed with different antenna resources according to their different priorities. Finally, with the goal of maximizing total rate of system and the utilization of antenna resources, a partial IA scheme was proposed, in which the high-priority users had full alignment and low-priority users had the maximum interference removed. In the Matlab simulation experiment where antenna resources are limited, the proposed scheme can increase total system rate by 10% compared with traditional IA algorithm, and the received rate of the high-priority users is 40% higher than that of the low-priority users. The experimental results show that the proposed algorithm can make full use of the limited antenna resources and achieve the maximum total system rate while satisfying the different requirements of users.

Key words: heterogeneous network, priority, limited antenna resources, total rate of system, partial Interference Alignment (IA)

摘要:

针对异构网络中天线资源有限导致无法实现完全干扰对齐(IA)这一问题,提出一种根据异构网络特点使天线资源利用率最大的部分IA方案。首先,根据异构网络中部分连通性构建系统模型,并分析系统实现IA的可行性条件;然后,基于网络的异构性(基站功率和用户稳定性的不同)对用户划分不同的优先级并分配不同的天线资源;最后,以系统总速率最大和天线资源利用率最大为目标设计高优先级用户完全对齐、低优先级用户消除最大干扰的部分IA方案。在Matlab仿真实验中,所提算法相比传统的IA算法在天线有限情况下能提高10%的系统总速率,并且高优先级用户接收到的速率比低优先级用户的速率高40%。实验结果表明,所提算法能充分利用有限天线资源,在满足用户差异性需求的同时实现系统总速率最大。

关键词: 异构网络, 优先级, 有限天线资源, 系统总速率, 部分干扰对齐

CLC Number: