A Multi-User Subcarrier Power Joint Allocation Algorithm Based on Rate Fairness

Jianwu Zhang; Lu Jin; Xiaorong Xu

doi:10.3969/j.issn.1000-0801.2013.04.012

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A Multi-User Subcarrier Power Joint Allocation Algorithm Based on Rate Fairness

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

- A Multi-User Subcarrier Power Joint Allocation Algorithm Based on Rate Fairness
- Telecommunication Science Vol. 29, Issue 4, Pages: 57-61(2013)
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- DOI：10.3969/j.issn.1000-0801.2013.04.012
  CLC：
- Published Online：2013-04，
  
  Published：20 April 2013
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Jianwu Zhang, Lu Jin, Xiaorong Xu. A Multi-User Subcarrier Power Joint Allocation Algorithm Based on Rate Fairness[J]. Telecommunication science, 2013, 29(4): 57-61.
DOI：

Jianwu Zhang, Lu Jin, Xiaorong Xu. A Multi-User Subcarrier Power Joint Allocation Algorithm Based on Rate Fairness[J]. Telecommunication science, 2013, 29(4): 57-61. DOI： 10.3969/j.issn.1000-0801.2013.04.012.

摘要

随着无线通信技术的迅猛发展，无线资源的需求量越来越大，用户对服务质量的要求也越来越高，因此，未来通信系统需要智能地在用户服务质量（QoS）需求和无线资源限制间进行一个有效的折中。为了提高认知无线网络频谱利用率，在可用子载波、次级用户功率预算及公平性等约束条件下，基于速率自适应（RA）准则，提出了在认知正交频分复用（OFDM）系统中兼顾速率公平的多用户子载波功率联合分配算法。该算法将子载波和功率分配分为两步，在兼顾各次级用户速率公平性的同时，最大化链路容量。仿真结果表明，该联合分配算法在系统吞吐量与次级用户速率公平性之间可以取得有效的折中。

Abstract

With the rapid development of wireless communication technology，the demand for wireless resources increases quickly，and to improve the quality of service are required by users.Therefore，the intelligence is needed to carry out an effective compromise between user quality of service（QoS）requirements and wireless resource constraints in future communication systems.In order to enhance the spectral efficiency in cognitive radio network（CRN），multi-user subcarrier power joint allocation algorithm based on rate adaptive（RA）criterion in cognitive orthogonal frequency division multiplexing（OFDM）system was proposed in the constraint conditions of available subcarrier，secondary user（SU）power budget and rate fairness，with the consideration of rate fairness between SUs.This algorithm was separated into two steps with subcarrier and power allocation respectively.The proposed scheme could maximize link capacity with the consideration of the fairness among all SUs.Simulation results show that the joint allocation algorithm can get effective tradeoff between system throughput and the rate fairness of SU.

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references

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