Robust secondary multicast transmit beamforming for cognitive radio networks under imperfect channel state information

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 problem of transmit power is formulated subject to both the quality-of-service (QoS) constraints...

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Bibliographic Details
Published in:2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 2816 - 2819
Main Authors: Huang, Yongwei, Li, Qiang, Ma, Wing-Kin, Zhang, Shuzhong
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2011
Subjects:
Approximation methods
Array signal processing
imperfect channel state information
MIMO
MIMO cognitive radio networks
Optimization
Quality of service
Receivers
Robust multicast beamforming
Robustness
semidefinite programming relaxation
spectrum sharing
ISBN:9781457705380, 1457705389
ISSN:1520-6149
Online Access:Get full text
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Summary: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 problem of transmit power is formulated subject to both the quality-of-service (QoS) constraints on the secondary receivers and the interference temperature constraints on the primary users, under the assumption of imperfect channel state information (CSI). The problem is non-convex quadratically constrained quadratic program (QCQP), and it is hard to achieve the global optimality. As a compromise, we present a randomized approximation algorithm for the problem via convex optimization techniques. In particular, we point out that the robust beamforming problem is efficiently solvable when the number of primary and secondary links in the CR network is not larger than three. Simulation results are presented to demonstrate the performance gains of the proposed algorithm over an existing robust design.
ISBN:9781457705380
1457705389
ISSN:1520-6149
DOI:10.1109/ICASSP.2011.5947070