Robust Multicast Beamforming for Spectrum Sharing-Based Cognitive Radios

We consider a robust downlink beamforming optimization problem for secondary multicast transmission in a multiple-input multiple-output (MIMO) spectrum sharing cognitive radio (CR) network. The minimization of transmit power is formulated subject to both quality-of-service (QoS) constraints on the s...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 60; H. 1; S. 527 - 533
Hauptverfasser:	Huang, Yongwei, Li, Qiang, Ma, Wing-Kin, Zhang, Shuzhong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.01.2012 Institute of Electrical and Electronics Engineers
Schlagworte:	Applied sciences Approximation algorithms Approximation methods Array signal processing Detection, estimation, filtering, equalization, prediction Exact sciences and technology Imperfect channel state information Information, signal and communications theory Interference MIMO cognitive radio networks Quality of service Receivers robust multicast beamforming Robustness semidefinite programming relaxation Signal and communications theory Signal, noise spectrum sharing Telecommunications and information theory Performance evaluation Parameter estimation Downlink MIMO cognitive radio networks Convex programming Data broadcast Information dissemination Beam forming Multicast Relaxation Channel estimation Imperfect channel state information spectrum sharing MIMO system robust multicast beamforming Resource sharing Quadratic programming Algorithm semidefinite programming relaxation Constrained optimization Simulation Signal processing Service quality Radio communication Software radio
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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