Joint transceiver beamforming in MIMO cognitive radio network

Yan GUO; Fang-jun ZHU; Ning LI; Xiao-yun YUAN

doi:10.11959/j.issn.1000-436x.2015065

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Joint transceiver beamforming in MIMO cognitive radio network

Academic paper | 更新时间：2024-06-05

- Joint transceiver beamforming in MIMO cognitive radio network
- Journal of Communications Vol. 36, Issue 3, Pages: 115-123(2015)
- 作者机构：
  
  解放军理工大学通信工程学院，江苏南京 210007
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61072044);The National Natural Science Foundation of China(61371124);The National Natural Science Foundation of China(61201217);The National Natural Science Foundation of China(61103224)
- DOI：10.11959/j.issn.1000-436x.2015065
  CLC： TP393
- Online First：2015-03，
  
  Published：25 March 2015
- 稿件说明：
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Yan GUO, Fang-jun ZHU, Ning LI, et al. Joint transceiver beamforming in MIMO cognitive radio network[J]. Journal of Communications, 2015, 36(3): 115-123.
DOI：

Yan GUO, Fang-jun ZHU, Ning LI, et al. Joint transceiver beamforming in MIMO cognitive radio network[J]. Journal of Communications, 2015, 36(3): 115-123. DOI： 10.11959/j.issn.1000-436x.2015065.

摘要

利用半正定规划和最小均方误差准则，提出了一种最小化发射功率的MIMO认知波束形成算法，与已有对偶算法相比，降低了发射功率，提高了系统性能。此外，还提出了SINR均衡的波束形成算法，解决了MIMO认知网络中认知用户的均衡通信问题。数值仿真结果表明，新算法在避免对主用户造成干扰的同时，能保证每一个用户的通信质量，均衡SINR水平得到了大幅提升。

Abstract

An iterative SDP-MMSE algorithm based on semidefinite programs (SDP) and minimum mean squared error (MMSE) was introduced to minimize the total transmit power. And a further approach on the max-min fairness beam-forming was presented. Simulation results demonstrate that proposed algorithms have superior performance in terms of total transmitted power and signal-to-interference plus noise ratio (SINR) as compared to the existing ones.

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references

Spectrum Efficiency Working Group . Report of the Spectrum Effi-ciency Working Group [R ] . FCC Spectrum Policy Task Force (SPTF) , Washington, DC , 2002 .

MITOLA III J , MAGUIRE JR G Q . Cognitive radio: making software radios more personal [J ] . IEEE Personal Communications , 1999 , 6 ( 4 ): 13 - 18 .

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

GOLDSMITH A , JAFAR S A , MARIC I , et al . Breaking spectrum gridlock with cognitive radios: an information theoretic perspective [J ] . Proceedings of the IEEE , 2009 , 97 ( 5 ): 894 - 914 .

ZHANG L , LIANG Y C , XIN Y . Joint beamforming and power alloca-tion for multiple access channels in cognitive radio networks [J ] . IEEE Journal on Selected Areas in Communications , 2008 , 26 ( 1 ): 38 - 51 .

ZHAO G , MA J , LI Y , et al . Spatial spectrum holes for cognitive radio with directional transmission [A ] . IEEE Global Telecommunications Conference [C ] . New Orleans, USA , 2008 . 1 - 5 .

YOO T , GOLDSMITH A . On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming [J ] . IEEE Journal on Se-lected Areas in Communications , 2006 , 24 ( 3 ): 528 - 541 .

SCHUBERT M , BOCHE H . Solution of the multiuser downlink beamforming problem with individual SINR constraints [J ] . IEEE Transactions on Vehicular Technology , 2004 , 53 ( 1 ): 18 - 28 .

TSE D . Fundamentals of Wireless Communication [M ] . Cambridge University Press , 2005 .

BENGTSSON M , OTTERSTEN B . Optimal and Suboptimal Beam-forming in Handbook of Antenna in Wireless Communications [M ] . Boca Raton, FL : CRC Press , 2001 .

FU X , WANG J , LI S . Joint power management and beamforming for base stations in cognitive radio systems [A ] . Proceedings of 6th Inter-national Symposium on Wireless Communication Systems (ISWCS 2009) [C ] . Siena, Italy , 2009 . 403 - 407 .

SIDIROPOULOS N D , DAVIDSON T N , LUO Z Q . Transmit beam-forming for physical-layer multicasting [J ] . IEEE Transactions on Signal Processing , 2006 , 54 ( 6 ): 2239 - 2251 .

PHAN K T , VOROBYOV S A , SIDIROPOULOS N D , et al . Spectrum sharing in wireless networks via QoS-aware secondary multicast beamforming [J ] . IEEE Transactions on Signal Processing , 2009 , 57 ( 6 ): 2323 - 2335 .

PHAN A H , TUAN H D , KHA H H , et al . Nonsmooth optimization for efficient beamforming in cognitive radio multicast transmission [J ] . IEEE Transactions on Signal Processing , 2012 , 60 ( 6 ): 2491 - 2951 .

BEKO M . Efficient beamforming in cognitive radio multicast transmission [J ] . IEEE Transactions on Wireless Communications , 2012 , 11 ( 11 ): 4108 - 4117 .

DU H , RATNARAJAH T , PESAVENTO M , et al . Joint transceiver beamforming in MIMO cognitive radio network via second-order cone programming [J ] . IEEE Transactions on Signal Processing , 2012 , 60 ( 2 ): 781 - 792 .

LIU Q , CHEN C W . Joint transceiver beamforming design and power allocation for multiuser MIMO systems [A ] . Proceedings of IEEE In-ternational Conference on Communications (ICC 2012) [C ] . Ottawa, Canada , 2012 . 3867 - 3871 .

CODREANU M , TOLLI A , JUNTTI M , et al . Joint design of Tx-Rx beamformers in MIMO downlink channel [J ] . IEEE Transactions on Signal Processing , 2007 , 55 ( 9 ): 4639 - 4655 .

ZHU X , SHEN L , YUM T S P . Analysis of cognitive radio spectrum access with optimum channel reservation [J ] . IEEE communications letters , 2007 , 11 ( 4 ): 304 - 306 .

LEE J , WANG H , ANDREWS J G , et al . Outage probability of cogni-tive relay networks with interference constraints [J ] . IEEE Transactions on Wireless Communications , 2011 , 10 ( 2 ): 390 - 395 .

KUMAR K R , XUE F . An iterative algorithm for joint signal and interference alignment [A ] . Proceedings of IEEE International Sympo-sium on Information Theory (ISIT 2010) [C ] . Austin, Texas, USA , 2010 . 2293 - 2297 .

GOMADAM K , CADAMBE V R , JAFAR S A . Approaching the capacity of wireless networks through distributed interference alignment [A ] . IEEE Global Telecommunications Conference [C ] . New Or-leans, LA, USA , 2008 . 1 - 6 .

PESAVENTO M , CIOCHINA D , GERSHMAN A B . Iterative dual downlink beamforming for cognitive radio networks [A ] . Proceedings of the 5th International Conference on Cognitive Radio Oriented Wireless Networks ＆ Communications (CROWNCOM 2010) [C ] . Cannes, France , 2010 . 1 - 5 .

BOYD S P , VANDENBERGHE L . Convex Optimization [M ] . Cambridge University Press , 2004 .

GRANT M , BOYD S , YE Y . CVX: Matlab software for disciplined convex programming [EB/OL ] . http://Stanford.edu/boyd/cvx http://Stanford.edu/boyd/cvx , 2008 .

LOBO M S , VANDENBERGHE L , BOYD S , et al . Applications of second-order cone programming [J ] . Linear Algebra and its Applications , 1998 , 284 ( 1-3 ): 193 - 228 .

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