Cross-layer scheduling and dynamic resource allocation for MIMO-OFDMA/SDMA systems with multi-service

ZHONG Chong-xian1; LI Chun-guo1; YANG Lv-xi1

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Cross-layer scheduling and dynamic resource allocation for MIMO-OFDMA/SDMA systems with multi-service

更新时间：2024-10-14

- Cross-layer scheduling and dynamic resource allocation for MIMO-OFDMA/SDMA systems with multi-service
- Vol. 31, Issue 9, Pages: 15-23(2010)
- 作者机构：
  
  1. 东南大学信息科学与工程学院
  2. 东南大学水声信号处理教育部重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN929.5
- Published：2010
- 稿件说明：
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ZHONG Chong-xian1, LI Chun-guo1, YANG Lv-xi1. Cross-layer scheduling and dynamic resource allocation for MIMO-OFDMA/SDMA systems with multi-service[J]. 2010, 31(9): 15-23.
DOI：

ZHONG Chong-xian1, LI Chun-guo1, YANG Lv-xi1. Cross-layer scheduling and dynamic resource allocation for MIMO-OFDMA/SDMA systems with multi-service[J]. 2010, 31(9): 15-23. DOI：

摘要

对多业务MIMO-OFDMA/SDMA系统下行链路跨层调度与动态资源分配问题进行了研究。首先

在满足各种约束条件的前提下

以最大化系统吞吐量为目标建立了相应的优化模型;然后

提出了一种基于业务类型和子空间距离的用户分组算法

该算法采用聚类分析的方法在每个子载波上对配置有多根接收天线的用户进行分组

从而降低了调度时所需搜索的用户空间的维数;接着

基于所提出的用户分组算法并结合不同业务的优先级提出了一种新的跨层调度和资源分配算法

该算法充分利用跨层信息为每个子载波调度相应的用户组

并为调度到的用户分配相应的系统资源

从而通过最大化每个子载波的吞吐量近似实现了系统整体吞吐量的最大化。仿真结果表明

与现有的方案相比

所提算法更好地满足了不同业务用户的QoS要求

并获得了更好的吞吐量性能。

Abstract

Cross-layer scheduling and dynamic resource allocation problems were investigated for downlink MIMO-OFDMA/SDMA systems with multi-service.Firstly

a mathematical formulation of the optimization problem was provided with the objective of maximizing the total system throughput under various constraints.Secondly

a user group-ing scheme was proposed utilizing clustering analysis method based on the type of services and the spatial compatibility of multiple users with multiple receive antennas.Thirdly

a new cross-layer scheduling and dynamic resource allocation algorithm was developed based on the proposed user grouping scheme combined with the priorities of different service

which maximizes the total system throughput by maximizing the throughput of each subcarrier.Simulation results show that compared with the existing schemes

the proposed algorithms obtain reasonable throughput performance while provide better QoS requirement for each user of different services.

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