中文

Journal of Applied Sciences >

2015 , Vol. 33 >Issue 3: 223 - 233

DOI: https://doi.org/10.3969/j.issn.0255-8297.2015.03.001

Communication Engineering

Dynamic Beamforming in Cognitive Radio Networks

Expand
  • College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China

Received date: 2014-05-08

  Revised date: 2014-10-20

  Online published: 2014-10-20

Fold

Abstract

Cognitive radio network has the potential of enhancing spectrum utilization.An effective beamforming algorithm can protect primary user from excessive interference while ensuring a meaningful QoS to the secondary system. Conventional beamforming algorithms focus on stationary targets, whereas the cognitive radio nodes are mobile. Dynamic beamforming is investigated in this paper. The direction of arrival (DOA) of a moving target is tracked by a particle filter algorithm. The derived DOA estimation is then used to model the channel between the base station and the users. Three different beamforming
schemes are proposed aiming at maximizing signal-to-noise ratio (SNR), minimizing inference, and SNR balancing, respectively. SNR maximization is transformed to Rayleigh-Ritz quotient, resulting in a closed-form solution. Interference minimization and SNR balancing are reformulated as secondary-order cone programming (SOCP) problems. These problems can be solved efficiently using interior point methods. Several numerical simulation examples
are provided to illustrate effectiveness of our approaches.

Key words： cognitive radio; tracing, beamforming; secondary-order cone programming (SOCP); particle filter

Cite this article

GUO Yan, ZHU Fang-jun, LI Ning . Dynamic Beamforming in Cognitive Radio Networks[J]. Journal of Applied Sciences, 2015 , 33(3) : 223 -233 . DOI: 10.3969/j.issn.0255-8297.2015.03.001

References

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

[2] Zhao, G., Ma, J., Li, Y., Wu, T., Kwon, Y. H., Soong, A., & Yang, C. Spatial spectrum holes for cognitive radio with directional transmission [C]//IEEE Global Telecommunications Conference. New Orleans, USA, 2008.

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

[4] PILTAN A, SALARI S. Distributed beamforming in cognitive relay networks with partial channel state information[J]. IET Communications, 2012, 6(9): 1011-1018.

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

[6] Phan, K. T., Vorobyov, S. A., Sidiropoulos, N. D., & Tellambura, C. Spectrum sharing in wireless networks via QoS-aware secondary multicast beamforming[J]. IEEE Transactions on Signal Processing, 2009, 57(6): 2323-2335.

[7] Phan, A. H., Tuan, H. D., Kha, H. H., & Ngo, D. T. Nonsmooth optimization for efficient beamforming in cognitive radio multicast transmission[J]. IEEE Transactions on Signal Processing, 2012, 60(6): 2941-2951.

[8] BEKO M. Efficient Beamforming in Cognitive Radio Multicast Transmission[J]. IEEE Transactions on Wireless Communications, 2012, 11(11): 4108- 4117.

[9] Du, H., Ratnarajah, T., Pesavento, M., & Papadias, C. B. Joint transceiver beamforming in MIMO cognitive radio network via second-order cone programming[J]. IEEE Transactions on Signal Processing, 2012, 60(2): 781-792.

[10] CAI S M, GONG Y. Cognitive beamforming for multiple secondary data streams with individual SNR constraints [J]. IEEE Transactions on Signal Processing, 2013, 61(17): 4189-4198.

[11] 应文，李冬海，胡德秀. 基于阵列单通道的机动目标DOA跟踪方法[J]. 信号处理，2012, 28(4): 539-544.

     YING W, LI D H, HU D X. DOA tracking of maneuvering target based on single channel array [J]. Signal Processing, 2012, 28(4): 539-544. (in Chinese)

[12] 张贤达. 现代信号处理[M]. 北京：清华大学出版社，2002:56-60.

[13] Arulampalam, M. S., Maskell, S., Gordon, N., & Clapp, T. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking [J]. IEEE Transactions on Signal Processing, 2002, 50(2): 3-13.

[14] 李鹏，汪芙平，王赞基. 瑞利平坦衰落信道中的调制识别算法[J]. 电路与系统学报，2009, 14(2): 107-110.

     LI P, WANG F P, WANG Z J. Algorithm for modulation recognition in Rayleigh flat fading channel [J]. Journal of Circuits and System, 2009, 14(2): 107-110 (in Chinese)

[15] 张贤达. 矩阵分析与应用 [M]. 北京：清华大学出版社，2004:528-547.

[16] KU M L, WANG L C, SU Y T. Toward optimal multiuser antenna beamforming for hierarchical cognitive radio systems [J]. IEEE Transactions on Communications, 2012, 60(10): 2872-2885.

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

/

〈 〉