一种基于跨层反馈信息的下行OFDMA资源分配策略

尹逊宫; 冯辉; 杨涛; 胡波

doi:10.3969/j.issn.1000-0801.2013.03.011

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一种基于跨层反馈信息的下行OFDMA资源分配策略

研究与开发 | 更新时间：2024-06-05

- 一种基于跨层反馈信息的下行OFDMA资源分配策略
- Scheduling and Resource Allocation in OFDMA Downlink Systems Using Cross-Layer Feedback
- 电信科学 2013年29卷第3期页码：56-61
- 作者机构：
- 作者简介：
  
  [ "尹逊宫，男，复旦大学硕士研究生，主要研究方向为LTE架构下的MAC资源调度算法研究。" ]
  [ "冯辉，男，复旦大学讲师，主要研究方向为分布式信号处理理论及应用。" ]
  [ "杨涛，男，复旦大学副教授，主要研究方向为宽带无线通信理论及信号处理。" ]
  [ "胡波，男，复旦大学教授、博士生导师，主要研究方向为数字信号处理、数字通信和系统设计。" ]
- 基金信息：
  
  国家重大专项基金资助项目(2010ZX03002-003-01);国家科技重大专项基金资助项目(2011ZX03003-001-02);国家科技重大专项基金资助项目(2012ZX03001007-003);国家自然科学基金资助项目(60972024)
- DOI：10.3969/j.issn.1000-0801.2013.03.011
  中图分类号：
- 网络出版日期：2013-03，
  
  纸质出版日期：2013-03-20
- 稿件说明：
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尹逊宫, 冯辉, 杨涛, 等. 一种基于跨层反馈信息的下行OFDMA资源分配策略[J]. 电信科学, 2013,29(3):56-61.

Xungong Yin, Hui Feng, Tao Yang, et al. Scheduling and Resource Allocation in OFDMA Downlink Systems Using Cross-Layer Feedback[J]. Telecommunications science, 2013, 29(3): 56-61.
尹逊宫, 冯辉, 杨涛, 等. 一种基于跨层反馈信息的下行OFDMA资源分配策略[J]. 电信科学, 2013,29(3):56-61. DOI： 10.3969/j.issn.1000-0801.2013.03.011.

Xungong Yin, Hui Feng, Tao Yang, et al. Scheduling and Resource Allocation in OFDMA Downlink Systems Using Cross-Layer Feedback[J]. Telecommunications science, 2013, 29(3): 56-61. DOI： 10.3969/j.issn.1000-0801.2013.03.011.

摘要

基于跨层调度的思想，本文深入研究了正交频分多址（OFDMA）系统中的资源分配问题。本文提出的调度算法联合利用了媒体访问控制（MAC）层的确认字符（ACK/NAK）信息和物理层（PHY）周期反馈的用户信噪比（SNR）信息。同时该调度问题在本文中被建模成一个带有跨层观测信息的部分观测马尔科夫决策过程（POMDP）。为了降低复杂度，本文利用了一个简化的模型，使其能够应用于实际的系统中。数学仿真显示，本文提出算法的性能十分接近Aggarwa1R等人提出的理论上限，并且通过利用ACK/NAK信息大大减小了系统的反馈开销。

Abstract

The prob1em of the cross-1ayer schedu1ing and resource a11ocation in orthogona1 frequency division mu1tip1exing access （OFDMA）down1ink was considered

uti1izing the ACK/NAK in MAC 1ayer and periodic feedback of users' SNR in physica1 1ayer simu1taneous1y.This prob1em was mode1ed as a partia11y observab1e Markov decision process （POMDP）with cross-1ayer observations

and a simp1ified version was proposed to reduce the computationa1 comp1exity.Numerica1 experiments show that the performance of the a1gorithm is re1ative1y c1ose to the upper bound proposed by Aggarwa1 R

and does not increase the system overhead of feedback.

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references

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