Resource allocation for MIMO-OFDMA downlink based cognitive radio systems with imperfect channel learning

被引：0
作者：
XiuWen Li
JinChun Gao
YuanAn Liu
Gang Xie
JunLing Mao
PanLiang Deng
机构：
[1] Beijing University of Posts and Telecommunications,School of Electronic Engineering
[2] Beijing University of Posts and Telecommunications,School of Information and Communication Engineering
[3] Ministry of Education,Key Laboratory of Universal Wireless Communication
来源：
Science China Information Sciences | 2013年 / 56卷
关键词：
cognitive radio; MIMO; OFDMA; imperfect channel learning; resource allocation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper is concerned with the resource allocation for multiple input multiple output and orthogonal frequency division multiplexing access (MIMO-OFDMA) downlink cognitive radio systems where a cognitive radio MIMO-OFDMA system is under spectrum sharing with an existing primary radio (PR) network. We use the channel learning scheme to estimate the channel information from cognitive radio transmitter (CR-TX) to PR and then make beamforming to transmit signal. Considering the interference from CR-TX to PR caused by the imperfect channel learning, we intend to maximize CR throughput under the interference power constraint at PR and CR transmit power constraint. A nearly optimal subcarrier and power allocation algorithm with linear complexity is proposed. The proposed algorithm is global optimal when the maximum transmit power is beyond certain threshold. Simulation results show that the proposed algorithm has a good performance very close to the global optimal algorithm.
引用
收藏
页码：1 / 14
页数：13
相关论文
共 24 条
[1]  
Goldsmith A(2009)Breaking spectrum gridlock with cognitive radios: an information theoretic perspective P IEEE 7 894-914
[2]  
Jafar S A(2007)Dynamic spectrum access with Qos and interference temperature constraints IEEE Trans Mobile Comput 6 4420-4425
[3]  
Mari’c I(2008)Optimal and suboptimal power allocation schemes for OFDM-based cognitive radio systems IEEE Trans Wirel Commun 7 4710-4718
[4]  
Xing Y(2008)Exploiting multi-antennas for opportunistic spectrum sharing in cognitive radio networks IEEE J Sel Area Sig Proc 2 88-102
[5]  
Chetan N(2011)Power allocation in multiple-input multiple-output orthogonal frequency division multiplexing-based cognitive radio networks IET Commun 5 362-370
[6]  
Haleem M A(2010)Cognitive beamforming made practical: effective interference channel and learning-throughput tradeoff IEEE Trans Commun 58 706-718
[7]  
Bansal G(2010)Design of learning-based MIMO cognitive radio systems IEEE Trans Veh Technol 59 1707-1720
[8]  
Hossain M J(2002)Perturbation analysis for subspace decomposition with application in subspace-based algorithms IEEE Trans Signal Proces 51 2820-2830
[9]  
Bhargava V K(2003)On the second-order statistics of the weighted sample covariance matrix IEEE Trans Signal Proces 51 527-534
[10]  
Rui Z(2009)Optimal power allocation for fading channels in cognitive radio networks: ergodic capacity and outage capacity IEEE Trans Commun 8 940-950
123