基于干扰对齐的认知MIMO系统频谱共享与用户调度

doi:10.3969/j.issn.1000-436x.2014.01.019

Abstract

Abstract:

In communication scenario with multiple cognitive radio (CR) multi-input multi-output (MIMO) users,signal processing algorithm was designed based on interference alignment (IA) such that transmissions of cognitive and authorized signal were carried out in mutual orthogonal sub-spaces.Conflict-free utilization of spare spatial channel(s) authorized by primary system was achieved by cognitive user.Moreover,the difference of spatial transmission performance originating from various channel matrices was exploited to implement appropriate user scheduling.Simulation results show that the proposed method can utilize spare spatial channel resource effectively and obtain multiuser diversity gain.On the premise that authorized service is protected from disturbing,transmission rate of cognitive user is improved.

Key words: interference alignment, cognitive radio, MIMO system, multiuser

Zhao LI,Jian-dong LI,Qin LIU,Biao SHEN. Interference alignment based spectrum sharing and user scheduling for cognitive radio MIMO system[J]. Journal on Communications, 2014, 35(1): 167-172.

Figures/Tables 5

References 15

[1]	MITOLA J . Cognitive radio for flexible mobile multimedia communication[A]. Proceedings of IEEE International Workshop Mobile Multimedia Communication[C]. San Diego,USA, 1999. 3-10.
[2]	ZHOU H C , RATNARAJAH T . A novel interference draining scheme for cognitive radio based on interference alignment[A]. Proceedings of IEEE Symposium on New Frontiers in Dynamic Spectrum[C]. Singapore, 2010. 1-6.
[3]	FRANCESCO N , IRFAN G , DIRK T M . Spatial interweave for a MIMO secondary interference channel with multiple primary users[A]. Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management[C]. Barcelona,Spain, 2011. 1-5.
[4]	NOSRAT-MAKOUEI B , ANDREWS J G , HEATH R W . A simple SINR characterization for linear interference alignment over uncertainMIMO channels[A]. Proceedings of IEEE International Symposium on Information Theory[C]. Austin,USA, 2010. 2288-2292.
[5]	SHYAMNATH G , SAMUEL D P , DINA K . Interference alignment and cancellation[A]. Proceedings of the ACM SIGCOMM conference on Data communication[C]. Barcelona,Spain, 2009. 159-170.
[6]	PERLAZA S M , DEBBAH M , LASAULCE S ,et al. Opportunistic interference alignment in MIMO interference channels[A]. Proceedings of IEEE 19th International Symposium on Personal,Indoor and Mobile Radio Communications[C]. Cannes,France, 2008. 1-5.
[7]	PERLAZA S M , FAWAZ N , LASAULCE S ,et al. From spectrum pooling to space pooling:opportunistic interference alignment in MIMO cognitive networks[J]. IEEE Transactions on Signal Processing, 2010,58(7): 3728-3741.
[8]	KRIKIDIS I . A SVD-based location coding for cognitive radio in MIMO uplink channels[J]. IEEE Communications Letters, 2010,14(10): 912-914.
[9]	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.
[10]	ZHOU H C , RATNARAJAH T , LIANG Y C . On secondary network interference alignment in cognitive radio[A]. Proceedings of IEEE Symposium on New Frontiers in Dynamic Spectrum[C]. Aachen,Germany, 2011. 637-641.
[11]	BASHAR S , DING Z . Optimum routing protection against cumulative eavesdropping in multihop wireless networks[A]. Proceedings of IEEE Military Communications Conference[C]. Boston,USA, 2009. 1-7.
[12]	FAHEEM A K , MASOUROS C , RATNARAJAH T . Interference driven linear precoding for cognitive radio downlink[A]. Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management[C]. Barcelona,Spain, 2011. 1-5.
[13]	JITVANICHPHAIBOOL K , LIANG Y C , ZHANG R . Beamforming and power control for multi-antenna cognitive two-way relaying[A]. Proceedings of IEEE Wireless Communications and Networking Conference[C]. Budapest,Hungary, 2009. 1-6.
[14]	BAKR O , JOHNSON M , MUDUMBAI R ,et al. Multi-antenna interference cancellation techniques for cognitive radio applications[A]. Proceedings of IEEE Wireless Communications and Networking Conference[C]. Budapest,Hungary, 2009. 1-6.
[15]	TSE D , VISWANATH P . Fundamentals of Wireless Communication[M]. Cambridge University Press,United Kingdom, 2005.

Metrics

Recommended 0

No Suggested Reading articles found!

Interference alignment based spectrum sharing and user scheduling for cognitive radio MIMO system

RichHTML

PDF

Knowledge

Cited

Abstract

Cite this article

share this article

Figures/Tables 5

References 15

Related Articles 15

Metrics

Recommended 0

[1]	Yuan HUANG, Yigang HE, Yuting WU, Tongtong CHENG, Yongbo SUI, Shuguang NING. Deep learning for compressed sensing based sparse channel estimation in FDD massive MIMO systems [J]. Journal on Communications, 2021, 42(8): 61-69.
[2]	Jingfu LI, Wenjiang FENG, Wenshou WANG, Weiheng JIANG, Chonghai YANG. Partial interference elimination based retrospective interference alignment scheme in the downlink MIMO broadcast channel [J]. Journal on Communications, 2021, 42(6): 94-106.
[3]	Jiachen SUN, Jinlong WANG, Guoru DING, Jin CHEN, Yuping GONG. Spectrum knowledge graph: an intelligent engine facing future spectrum management [J]. Journal on Communications, 2021, 42(5): 1-12.
[4]	Rui WANG, Min SHEN, Yun HE, Xiangyan LIU. Research on caching strategy based on transmission delay in Cell-Free massive MIMO systems [J]. Journal on Communications, 2021, 42(12): 134-143.
[5]	Bin LYU, Yi CAO, Jian LI, Ting QI. Performance enhancement scheme for IRS-assisted cognitive backscatter communication network [J]. Journal on Communications, 2021, 42(12): 172-181.
[6]	Yin LU,Jirong CHEN,Haowei BIAN,Hongbo ZHU. Novel opportunistic cooperative multicast scheme for NOMA [J]. Journal on Communications, 2020, 41(11): 141-150.
[7]	Bing LIANG,Wen JI. Multiuser computation offloading for edge-cloud collaboration using submodular optimization [J]. Journal on Communications, 2020, 41(10): 25-36.
[8]	Zhen YANG,Mengyao ZHU,Youhong FENG. Secrecy performance analysis on cooperative CR-NOMA network [J]. Journal on Communications, 2020, 41(10): 139-147.
[9]	Yongjun XU,Yang YANG,Qilie LIU,Qianbin CHEN,Jinzhao LIN. Robust power and subcarrier allocation algorithm for cognitive network based on interference efficiency maximization [J]. Journal on Communications, 2020, 41(1): 84-93.
[10]	Xiaoqing DONG,Lianglun CHENG,Gengzhong ZHENG,Tao WANG. Spectrum resource allocation method of maximizing transmission rate in cognitive heterogeneous wireless networks [J]. Journal on Communications, 2019, 40(9): 124-135.
[11]	Min JIA,Xiaoye JING,Xiaofeng LIU,Feng LIU,Qing GUO,Xuemai GU. Spectrum allocation method for cognitive satellite network based on service priorities [J]. Journal on Communications, 2019, 40(4): 140-148.
[12]	Guoquan LI,Xiangyun ZHOU,Jinzhao LIN,Yongjun XU,Yu PANG,Jiacheng WANG. Full-diversity design criterion for multi-user STBC based on integer-forcing detection [J]. Journal on Communications, 2019, 40(3): 139-146.
[13]	Jisheng XU,Fanzi ZENG,Kang LI,Yongfeng LI. Performance analysis of two-way relay cooperation underlay cognitive radio networks based on WIPT [J]. Journal on Communications, 2019, 40(2): 129-136.
[14]	Yu LIU,Fanggang WANG,Jingwen ZHANG,Bo AI,Zhangdui ZHONG. EM-based blind LDPC identification in multipath channels [J]. Journal on Communications, 2018, 39(9): 43-48.
[15]	Yan LONG,Xiaoqian ZHANG,Xuming FANG,Rong HE. Resource allocation in cognitive radio network with energy harvesting [J]. Journal on Communications, 2018, 39(9): 67-75.