Title
Robust transmit beamforming against steering vector uncertainty in cognitive radio networks
Abstract
A robust transmit beamforming scheme is proposed for green cognitive radio networks in presence of incorrect steering vector estimations. The beamformer is designed using a stochastic optimization approach. The proposed beamforming scheme achieves three objectives: a) Probability for large-than-a-threshold for secondary user's received power in the steering direction is maximized; b) Probabilities for less-than-a-threshold interferences to the primary users in different locations are bounded; and c) Transmitted power along the directions of the moving secondary receiver is maintained as a constant. In addition, we present an algorithm to calculate the inverse Marcum Q function, and use it to solve the optimization problem for proposed beamforming scheme. Simulation results demonstrate that the proposed robust beamformer can achieve significant BER reductions for primary users while ensuring secondary user's BER is not sacrificed.
Year
DOI
Venue
2014
10.1109/INFCOMW.2014.6849316
Computer Communications Workshops
Keywords
DocType
ISSN
array signal processing,cognitive radio,error statistics,radio receivers,stochastic programming,BER reductions,beamforming scheme,for less-than-a-threshold interferences,green cognitive radio networks,inverse Marcum Q function,optimization problem,robust transmit beamforming,secondary receiver,secondary user,steering direction,steering vector estimations,steering vector uncertainty,stochastic optimization approach
Conference
2159-4228
Citations 
PageRank 
References 
3
0.42
3
Authors
4
Name
Order
Citations
PageRank
Md Monzurul Alam130.42
Sudeep Bhattarai2666.31
Liang Hong319333.79
Sachin Shetty432355.94