北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2016, Vol. 39 ›› Issue (2): 35-38,62.doi: 10.13190/j.jbupt.2016.02.007

• 论文 • 上一篇    下一篇

整体优化的吞吐量预测中继选择策略

赵季红1,2, 闫飞宇1, 曲桦1, 宋亚兰1, 徐西光1   

  1. 1. 西安交通大学电信学院, 西安 710049;
    2. 西安邮电大学通信与信息工程学院, 西安 710061
  • 收稿日期:2015-07-13 出版日期:2016-04-28 发布日期:2016-04-28
  • 作者简介:赵季红(1963-),女,教授,博士生导师,E-mail:zhaojihong@mail.xjtu.edu.cn.
  • 基金资助:

    国家自然科学基金项目(61372092);国家高技术研究发展计划(863计划)项目(2014AA01A706)

Global Optimal Relay Selection Scheme Based on Throughput Prediction

ZHAO Ji-hong1,2, YAN Fei-yu1, QU Hua1, SONG Ya-lan1, XU Xi-guang1   

  1. 1. The School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China;
    2. The School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an 71006 l, China
  • Received:2015-07-13 Online:2016-04-28 Published:2016-04-28

摘要:

提出了一种蜂窝网络中关于移动中继的选择方案,将小区内的用户按照下行路径损耗分为一跳用户和两跳用户.一跳用户由基站直接对其分配资源,两跳用户采用整体优化的吞吐量预测中继选择算法选择空闲用户作为中继节点.该算法全面考虑了带宽与信道质量对通信速率的影响,以两跳用户所在接入链路与回程链路吞吐量相等为原则主动调节两跳用户带宽分配比例,并且通过匈牙利算法计算出系统吞吐量最大时的最佳匹配矩阵.仿真结果表明,该算法能够有效提升边缘用户吞吐量和频谱利用率.

关键词: 中继选择, 整体优化吞吐量预测算法, 小区边缘吞吐量

Abstract:

A mobile relay selection scheme used in the cellular network was designed, it divides the users into one-hop users and two-hop ones according to the path loss. The one-hop users receive signal from the Base Station (BS) directly. However, the two-hop users could choose the idle one-hop users as Relay Nodes (RN) with the global optimal throughput prediction relaying (GOTPR). The proposed algorithm puts the impact of bandwidth and channel quality onto the rate of communication into account adequately, adjusts the bandwidth of two-hop users based on the equality of throughput of access link and backhaul link, and acquires the optimal matching matrix with the maximum throughput by the Hungarian algorithm. Simulations presents that the proposed method could improve the cell edge users throughput and spectral efficiency significantly.

Key words: relay selection, Global optimal throughput prediction algorithm, cell edge throughput

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