A robust distributed relay beamforming algorithm for cooperative cognitive radio networks

被引：0
作者：
Wang, Chao [1 ,2 ]
Deng, Ke [1 ]
Zhuang, Lili [2 ]
Yu, Xiaoling [2 ]
机构：
[1] School of Electronics and Information Engineering, Xi'an Jiaotong University
[2] China Taiyuan Satellite Launch Center, Xinzhou
来源：
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2013年 / 47卷 / 12期
关键词：
Amplify and forward; Cooperative cognitive network; Distributed relay beamforming;
D O I：
10.7652/xjtuxb201312015
中图分类号：
学科分类号：
摘要：
A robust distributed relay beamforming (RDRB) algorithm is proposed to address the uncontrollable problem of the received interference power at the primary user (PU) caused by the fast varying channel state information (CSI) in amplify and forward cooperative cognitive radio networks. When there exists estimation error in CSI, the RDRB method maximizes the signal to noise ratio (SNR) of the secondary receive node under constraints of the maximum interference to PU and the maximum transmit power to each node by designing the distributed relay beamforming weights of cooperative secondary nodes. The RDRB algorithm finds the suboptimal solution of the non-convex original problem using the bisection search. This strategy reduces calculation cost significantly and controls the received interference power at the PU when channels are fast varying. Simulation results show that the RDRB algorithm controls the interference power at the PU under a given level strictly, at least 2 dB less than those of non-robust algorithms, and the communication of the PU is effectively protected.
引用
收藏
页码：84 / 89
页数：5
相关论文
共 11 条
  • [1] Haykin S., Cognitive radio: brain empowered wireless communications, IEEE Communication Magazine, 43, 10, pp. 201-220, (2005)
  • [2] Zhang R., On peak versus average interference power constraints for protecting primary users in cognitive radio networks, IEEE Transactions on Wireless Communications, 8, 4, pp. 2112-2120, (2009)
  • [3] Lee J., Wang H., Andrews J.G., Et al., Outage probability of cognitive relay networks with interference constraints, IEEE Transactions on Wireless Communications, 10, 4, pp. 390-395, (2011)
  • [4] Joung J., Sayed A.H., Multiuser two-way amplify-and-forward relay processing and power control methods for beamforming systems, IEEE Transactions on Signal Process, 58, 3, pp. 1833-1846, (2010)
  • [5] Gui L., Zhong X., Zou S., Decentralized power control algorithm based on signaling games in cognitive radio networks, Journal of Electronics and Information Technology, 34, 10, pp. 2528-2531, (2012)
  • [6] Gharavol E.A., Liang Y., Mouthaan K., Robust downlink beamforming in multiuser MISO cognitive radio networks with imperfect channel-state information, IEEE Transactions on Vehicular Technology, 59, 6, pp. 2852-2860, (2010)
  • [7] Zheng G., Wong K.K., Paulraj A., Et al., Robust collaborative-relay beamforming, IEEE Transactions on Signal Processing, 57, 8, pp. 3130-3143, (2009)
  • [8] Boyd S., Vandenberghe L., Convex Optimization, (2004)
  • [9] Li Y., Yin Q., Xu W., Et al., On the design of relay selection strategies in regenerative cooperative networks with outdated CSI, IEEE Transactions on Wireless Communications, 10, 9, pp. 3086-3097, (2011)
  • [10] Beck A., Eldar Y.A., Strong duality in nonconvex quadratic optimization with two quadratic constraints, SIAM Journal on Optimization, 17, 3, pp. 844-860, (2006)
12