Beamforming for multi-group multicasting with statistical channel state information using second-order cone programming

We consider the problem of transmit beamforming in multi-group multicasting systems with covariance-based channel state information (CSI) available at the transmitter where the total transmitted power is minimized subject to quality-of-service (QoS) constraints at the receivers. Previous approaches...

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Published in:2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 3237 - 3240
Main Authors: Bornhorst, N., Pesavento, M.
Format: Conference Proceeding
Language:English
Published: IEEE 01.03.2012
Subjects:
Approximation methods
Array signal processing
convex optimization
Covariance matrix
downlink beamforming
Iterative methods
Multi-group multicasting
Multicast communication
Quality of service
second-order cone programming
statistical channel state information
Vectors
ISBN:1467300454, 9781467300452
ISSN:1520-6149
Online Access:Get full text
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Abstract We consider the problem of transmit beamforming in multi-group multicasting systems with covariance-based channel state information (CSI) available at the transmitter where the total transmitted power is minimized subject to quality-of-service (QoS) constraints at the receivers. Previous approaches for this problem are based on semidefinite relaxation (SDR) and require randomization and costly power scaling which is avoided in our approach. The proposed technique can be viewed as a non-trivial extension of the iterative second-order cone programming (SOCP) approach, which is restricted to the case of instantaneous (rank-one) CSI, to the beamforming problem with higher-rank channel covariance matrices. Computer simulations reveal that the proposed technique exhibits superior performance in terms of total transmitted power at a reduced computational complexity as compared to the SDR method.
AbstractList We consider the problem of transmit beamforming in multi-group multicasting systems with covariance-based channel state information (CSI) available at the transmitter where the total transmitted power is minimized subject to quality-of-service (QoS) constraints at the receivers. Previous approaches for this problem are based on semidefinite relaxation (SDR) and require randomization and costly power scaling which is avoided in our approach. The proposed technique can be viewed as a non-trivial extension of the iterative second-order cone programming (SOCP) approach, which is restricted to the case of instantaneous (rank-one) CSI, to the beamforming problem with higher-rank channel covariance matrices. Computer simulations reveal that the proposed technique exhibits superior performance in terms of total transmitted power at a reduced computational complexity as compared to the SDR method.
Author Bornhorst, N.
Pesavento, M.
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Snippet We consider the problem of transmit beamforming in multi-group multicasting systems with covariance-based channel state information (CSI) available at the...
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StartPage 3237
SubjectTerms Approximation methods
Array signal processing
convex optimization
Covariance matrix
downlink beamforming
Iterative methods
Multi-group multicasting
Multicast communication
Quality of service
second-order cone programming
statistical channel state information
Vectors
Title Beamforming for multi-group multicasting with statistical channel state information using second-order cone programming
URI https://ieeexplore.ieee.org/document/6288605
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