Multi-Users Resource Allocation Problem in OFDM Systems Under the Underlay Spectrum Sharing Mode for Cognitive Radio

Xinbin Li; Aiwu Shi; Xingfang Song

doi:10.3969/j.issn.1000-0801.2013.04.017

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Multi-Users Resource Allocation Problem in OFDM Systems Under the Underlay Spectrum Sharing Mode for Cognitive Radio

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

- Multi-Users Resource Allocation Problem in OFDM Systems Under the Underlay Spectrum Sharing Mode for Cognitive Radio
- Telecommunication Science Vol. 29, Issue 4, Pages: 83-88(2013)
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- DOI：10.3969/j.issn.1000-0801.2013.04.017
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- Published Online：2013-04，
  
  Published：20 April 2013
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Xinbin Li, Aiwu Shi, Xingfang Song. Multi-Users Resource Allocation Problem in OFDM Systems Under the Underlay Spectrum Sharing Mode for Cognitive Radio[J]. Telecommunication science, 2013, 29(4): 83-88.
DOI：

Xinbin Li, Aiwu Shi, Xingfang Song. Multi-Users Resource Allocation Problem in OFDM Systems Under the Underlay Spectrum Sharing Mode for Cognitive Radio[J]. Telecommunication science, 2013, 29(4): 83-88. DOI： 10.3969/j.issn.1000-0801.2013.04.017.

摘要

为了更有效地求解Underlay频谱共享模式下的OFDM系统多用户资源分配问题，提出了一种公平、复杂度低的资源分配方法，首先利用公平性的子载波分配方法为认知用户分配子载波，然后利用子载波分配结果，将复杂的多用户资源分配问题转化为简单的单用户功率分配问题，并利用一种复杂度较低的线性封顶注水算法对子载波功率的分配进行求解。通过一种TV频段OFDM系统对算法性能进行了仿真对比分析，仿真结果验证了本文所提资源分配方法的有效性和优越性。

Abstract

In order to solve the multi-users’ resource allocation problem of OFDM systems under the underlay spectrum sharing mode conveniently and efficiently，a fair resource allocation algorithm with low complexity was proposed.The fair subcarrier allocation algorithm was applied to allocate subcarrier for cognitive users to turn the complex problem of resource allocations into a simple problem of a single user power allocation.Also a linear capped water-filling algorithm with low complexity was used to solve the subcarrier power allocation problem.Simulation results show that，compared with other methods，the proposed method has very good effectiveness and superiority in application to the TV frequency’s OFDM system.

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references

Mitola J ， Maguire G Q . Cognitive radio：making software radios more personal . Personal Communication ， 1999 ， 6 （ 4 ）： 13 ～ 18

Federal Communications Commission . Facilitating Opportunities for Flexible，Efficient，and Reliable Spectrum Use Employing Cognitive Radio Technologies：Notice of Proposed Rule Making and Order . FCC Document ET Docket ， 2003

Haykin S . Cognitive radio：brain-empowered wireless communications . IEEE Journal on Selected Areas in Communications ， 2005 ， 23 （ 2 ）： 201 ～ 220

滕志军，韩雪，杨旭 . 认知无线电中基于多次博弈的功率控制算法 . 电信科学， 2011 ， 27 （ 8 ）： 63 ～ 67

张冬梅，徐友云，蔡跃明 . OFDMA 系统中线性注水功率分配算法 . 电子与信息学报， 2007 ， 29 （ 6 ）： 1286 ～ 1289

张然然，刘思扬，谢刚等 . 认知无线电下行链路中的频谱共享算法 . 电子与信息学报， 2009 ， 31 （ 5 ）： 1086 ～ 1089

张然然，刘元安，林晓峰等 . 认知无线电下行链路中的OFDM资源分配算法 . 电子学报， 2010 ， 38 （ 3 ）： 632 ～ 637

Shaat M ， Bader F . Computationally efficient power allocation algorithm in multicarrier-based cognitive radio networks：OFDM and FBMC systems . EURASIP Journal on Advances in Signal Processing ， 2010 （ 1 ）： 1 ～ 12

Kim J ， Kang H ， Yu H ， et al . Self-optimized power allocation based on interference cognition in femtocell network . IEEE VTS Asia Pacific Wireless Communication Symposium ， Hsinchu，Taiwan，China ， 2009 ： 52 ～ 55

Pao W C ， Chen Y F ， Chan C Y . Power allocation schemes in OFDM-based femtocell networks . Wireless Personal Communications ， 2012 ， 69 （ 4 ）： 1054 ～ 1060

Boyd S ， Vandenberghe L . Convex Optimization . Cambridge University Press ， 2004 ： 241 ～ 249

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