Upper bound of degrees of freedom in cognitive MIMO interference network with user cooperation

Shi-lei ZHU; Na-e ZHENG; Sheng WANG; Han-ying HU

doi:10.11959/j.issn.1000-436x.2015206

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Upper bound of degrees of freedom in cognitive MIMO interference network with user cooperation

Academic paper | 更新时间：2024-06-05

- Upper bound of degrees of freedom in cognitive MIMO interference network with user cooperation
- Journal on Communications Vol. 36, Issue 8, Pages: 153-160(2015)
- 作者机构：
  
  解放军信息工程大学导航与空天目标工程学院，河南郑州 450002
- 作者简介：
- 基金信息：
  
  The Important National Science＆Technology Specific Project(2011ZX03003-003-02);The National High Technology Research and Development Program of China (863 Program)(2012AA01A502);The National High Technology Research and Development Program of China (863 Program)(2012AA01A505)
- DOI：10.11959/j.issn.1000-436x.2015206
  CLC： TN92
- Online First：2015-08，
  
  Published：25 August 2015
- 稿件说明：
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Shi-lei ZHU, Na-e ZHENG, Sheng WANG, et al. Upper bound of degrees of freedom in cognitive MIMO interference network with user cooperation[J]. Journal on Communications, 2015, 36(8): 153-160.
DOI：

Shi-lei ZHU, Na-e ZHENG, Sheng WANG, et al. Upper bound of degrees of freedom in cognitive MIMO interference network with user cooperation[J]. Journal on Communications, 2015, 36(8): 153-160. DOI： 10.11959/j.issn.1000-436x.2015206.

摘要

在K+1用户认知 MIMO 干扰网络中，传统算法区分对待主/次用户干扰，将其对齐压缩到不同的干扰空间上，导致空间自由度的浪费。从复用干扰空间的角度出发，推导了新的自由度上界及其必要条件。为了验证其合理性和正确性，设计了联合干扰对齐指标，并结合范数理论和Rayleigh-Ritz定理提出一种协作联合干扰对齐算法，并对算法的有效性进行了分析。理论分析和仿真结果表明，新的自由度上界突破了已有文献所给上界，且可通过所提算法达到。

Abstract

In(K+1)-user cognitive MIMO interference network

conventional algorithms distinguish the interference of primary users and secondary users by aligning them to the different interference space

separately.Therefore

it leads to the loss of spatial degrees of freedom(DoF).From the perspective of multiplexing the interference space

a new upper bound of DoF and its necessary condition was deduced.Furthermore

to verify the rationality and validity of the new upper bound

a cooperative joint interference alignment algorithm

in which a joint interference alignment indicator was designed and proposed based on norm theory and Rayleigh-Ritz theorem.The effectiveness of the algorithm was analyzed.Theoretical analysis and simulation results show that the new upper bound of DoF breaks upper bound given in the existing papers

and it can be achieved by the proposed algorithm.

关键词

Keywords

references

JUNG B C , SHIN W Y . Opportunistic interference alignment for interference limited cellular TDD uplink [J ] . IEEE Communication Letters , 2011 , 15 ( 2 ): 148 - 150 .

ABDELHAMID B , ELSABROUTY M , ALGHONIEMY M , et al . Cooperative and non-cooperative multi-secondary users cognitive radio system with channel uncertainty [A ] . 2012 IEEE 23rd International Symposium on Personal Indoor and Mobile Radio Communications(PIMRC) [C ] . Sydney , 2012 . 1582 - 1587 .

HAYKIN S . Cognitive radio:brain-empowered wireless communications [J ] . IEEE Journal of Selected Areas on Communications , 2005 , 23 ( 2 ): 201 - 202 .

ZHANG R , LIANG Y C . Exploiting multi-antennas for opportunistic spectrum sharing in cognitive radio networks [J ] . IEEE Journal of Selected Topics in Signal Processing , 2008 , 2 ( 1 ): 88 - 102 .

李钊 , 赵林靖 , 刘勤 . 认知无线电网络基于空分复用的机会频谱接入 [J ] . 电子与信息学报 , 2011 , 33 ( 5 ): 1172 - 1177 .

LI Z , ZHAO L J , LIU Q . Space division multiplexing based opportunistic spectrum access in cognitive radio network [J ] . Journal of Electronics ＆ Information Technology , 2011 , 33 ( 5 ): 1172 - 1177 .

PERLAZA S M , FAWAZ N , LASAULCE S , et al . From spectrum pooling to space pooling:opportunistic interference alignment in MIMO cognitive networks [J ] . IEEE Transaction on Signal Processing , 2010 , 58 ( 7 ): 3728 - 3741 .

董恒 , 宋荣方 . 认知无线电网络中基于业务自适应的干扰对齐新机制探索 [J ] . 通信学报 , 2014 , 35 ( 4 ): 25 - 34 .

DONG H , SONG R F . Investigation of traffic adaptation based interference alignment for cognitive radio networks [J ] . Journal on Communication , 2014 , 35 ( 4 ): 25 - 34 .

CADAMBE V R , JAFAR S A . Interference alignment and degrees of freedom of the K-user interference channel [J ] . IEEE Transactions on Information Theory , 2008 , 54 ( 8 ): 3425 - 3441 .

AMIR M,EL-KEYI A , NAFIE M . Constrained interference alignment and the spatial degrees of freedom of MIMO cognitive networks [J ] . IEEE Transactions on Information Theory , 2011 , 57 ( 5 ): 2994 - 3004 .

CHEN G , XIANG Z , XU C , et al . On Degrees of freedom of cognitive networks with user cooperation [J ] . Wireless Communications Letters,IEEE , 2012 , 1 ( 6 ): 617 - 620 .

JAFAR S A , FAKHEREDDIN M J . Degrees of freedom for the MIMO interference channel [J ] . IEEE Transactions on Information Theory , 2007 , 53 ( 7 ): 2637 - 2642 .

GOMADAM K , CADAMBE V R , JAFAR S A . A distributed numerical approach to interference alignment and applications to wireless interference networks [J ] . IEEE Transactions on Information Theory , 2011 , 57 ( 6 ): 3309 - 3322

PETERS S W , HEATH R W . Interference alignment via alternating minimization [A ] . IEEE International Conference on Acoustics,Speech and Signal Processing [C ] . Taipei , 2009 . 2445 - 2448 .

张贤达 . 矩阵分析与应用 [M ] . 北京 : 清华大学出版社 , 2004 .528-548.

ZHANG X D . Matrix Analysis and Applications [M ] . Beijing : Tsinghua Press , 2004 . 528 - 548 .

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