Resource Allocation Algorithm for the Downlink of Multi-User OFDM System with Optimized Fairness

Limei Tang; Haiyan Cao; Jun Li; Shiyi Xie

doi:10.11959/j.issn.1000-0801.2015296

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Resource Allocation Algorithm for the Downlink of Multi-User OFDM System with Optimized Fairness

research and developmen | 更新时间：2024-06-05

- Resource Allocation Algorithm for the Downlink of Multi-User OFDM System with Optimized Fairness
- Telecommunications Science Vol. 31, Issue 12, Pages: 58-63(2015)
- 作者机构：
  
  1. 杭州电子科技大学通信工程学院杭州310018
  2. 中国计量学院信息工程学院杭州310018
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2015296
  CLC：
- Published Online：2015-12，
  
  Published：20 December 2015
- 稿件说明：
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Limei Tang, Haiyan Cao, Jun Li, et al. Resource Allocation Algorithm for the Downlink of Multi-User OFDM System with Optimized Fairness[J]. Telecommunications science, 2015, 31(12): 58-63.
DOI：

Limei Tang, Haiyan Cao, Jun Li, et al. Resource Allocation Algorithm for the Downlink of Multi-User OFDM System with Optimized Fairness[J]. Telecommunications science, 2015, 31(12): 58-63. DOI： 10.11959/j.issn.1000-0801.2015296.

摘要

研究了优化公平性的多用户OFDM系统下行链路的资源分配算法，根据系统各用户的业务需求，在保证用户所得数据速率满足一定比例以及系统总功率限制的前提下，提高系统总数据速率。首先，根据公平性原则进行用户的子载波分配，子载波功率分配使用注水算法；子载波分配完成后，利用贪婪功率分配算法，以最大化用户数据速率和提高功率利用率为目标，对各用户内部子载波功率和比特数进行再分配。仿真结果表明，相比参考文献[10]的算法，该算法在提高系统总速率的同时，更好地保证了用户数据速率的公平性；相比参考文献[12]的算法，该算法虽然牺牲了一定的系统总速率，但能提供更高的用户数据速率公平性。

Abstract

A resource allocation algorithm for the downlink of multi-user OFDM system with optimized fairness was studied. Firstly

assign the subcarriers to users with the constraint on proportional fairness and the water-filling algorithm was used in this process for the power allocation of each subcarrier. Then update the bits and power for each subcarrier of all the users using greedy power allocation to achieve higher data rates and power efficiency. Simulation results show that the proposed algorithm improves the capacity of the system while ensuring the performance of fairness better compared with the algorithm in[10]. To[12]

the fairness is considerable improved with a little loss of capacity.

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Keywords

references

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