计算机应用 ›› 2017, Vol. 37 ›› Issue (12): 3368-3373.DOI: 10.11772/j.issn.1001-9081.2017.12.3368

• 网络与通信 • 上一篇    下一篇

密集小蜂窝网络中基于负载均衡的能效方案

韦世红, 张丽, 黄晓舸   

  1. 移动通信技术重庆市重点实验室(重庆邮电大学), 重庆 400065
  • 收稿日期:2017-05-31 修回日期:2017-07-20 出版日期:2017-12-10 发布日期:2017-12-18
  • 通讯作者: 张丽
  • 作者简介:韦世红(1970-),女,重庆人,副教授,博士,主要研究方向:移动通信、小蜂窝网络资源分配;张丽(1992-),女,河南商丘人,硕士研究生,主要研究方向:小蜂窝网络资源分配;黄晓舸(1982-),女,重庆人,副教授,博士,主要研究方向:小蜂窝网络资源分配。
  • 基金资助:
    长江学者和创新团队发展计划项目(IRT1299);重庆市科委重点实验室专项经费资助项目(cstc2013yykfA40010)。

Energy-efficiency scheme based on load balancing in dense small cell networks

WEI Shihong, ZHANG Li, HUANG Xiaoge   

  1. Chongqing Key Laboratory of Mobile Communications Technology(Chongqing University of Posts and Telecommunications), Chongqing 400065, China
  • Received:2017-05-31 Revised:2017-07-20 Online:2017-12-10 Published:2017-12-18
  • Supported by:
    This work is partially supported by the Program for Changjiang Scholars and Innovative Research Team in University (IRT1299), the Project of Special Fund for Chongqing Science and Technology Commission Key Laboratory (cstc2013yykfA40010).

摘要: 针对密集小蜂窝网络中断概率高、负载不均衡的问题,提出了一种基于负载均衡的能效方案。在保证用户中断概率、最小速率等约束条件下通过联合优化负载均衡和基站开关模式,最大化网络能效,优化问题是一个非凸的NP-hard问题,求得最优解是相当复杂的,因此把原最优问题分解成两个次优化子问题:首先,负载均衡方案在给定的基站开关模式下给出最优负载均衡策略;其次,在满足用户最小速率约束条件下设计最优基站开关模式。实验结果表明,当用户数少于180时所提方案中断概率为零,而传统的最大信干噪比(Max-SINR)算法中断概率达到11%,在网络能效方面,所提方案均高于基站任意关闭(Ran-off)算法和基站不关闭(No-off)算法。所提方案能够提高网络能效且保证负载均衡。

关键词: 密集小蜂窝, 网络能效, 负载均衡, 网络中断, 开关控制

Abstract: In order to solve the problems of high outage probability and unbalanced load in dense small cellular networks, an energy-efficient scheme based on load balancing was proposed. The network energy-efficiency was maximized through joint optimization of load balancing and base station on/off control strategy under the constraints of guaranteed user outage probability and minimum rate. The optimization problem is a non-convex Non-deterministic Polynomial-hard (NP-hard) problem, and it is quite complex to obtain the optimal solution. Therefore, the original optimal problem was decomposed into two suboptimal subproblems. Firstly, the optimal load balancing strategy with the given base station on/off control strategy was given by the proposed load balancing scheme. Secondly, the optimal base station on/off control strategy was designed under the constraint of satisfying the minimum user rate. The experimental results show that, when the number of users is less than 180, the outage probability of the proposed scheme is zero while the outage probability of the traditional Maximum Signal to Interference plus Noise Ratio (Max-SINR) algorithm reaches 11%. The network energy-efficiency of the proposed scheme is higher than those of the base station Randomly-off (Ran-off) algorithm and the base station Not-off (No-off) algorithm. The proposed scheme can improve network energy-efficiency and ensure load balance.

Key words: dense small cell, network energy-efficiency, load balancing, network outage, on/off control

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