Multiple-Antenna Multicasting Using Channel Orthogonalization and Local Refinement

The problem of single-group multiple-antenna multicasting is considered, where common information should be sent to a large number of users. The multiple-antenna transmitter is assumed to accurately know the instantaneous downlink channel state information (CSI) for all users, and our objective is t...

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Bibliographic Details
Published in:IEEE transactions on signal processing Vol. 58; no. 7; pp. 3922 - 3927
Main Authors: Abdelkader, Ahmed, Gershman, Alex B., Sidiropoulos, Nicholas D.
Format: Journal Article
Language:English
Published: New York IEEE 01.07.2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Approximation
Channel state information
Channels
Computer simulation
Data processing
Digital multimedia broadcasting
Downlink
Evolved multimedia broadcast/multicast service (E-MBMS)
Multicast algorithms
Multicasting
Multimedia communication
orthogonalization
Quality of service
Signal processing
Signal processing algorithms
State of the art
transmit beamforming
Transmitters
ISSN:1053-587X, 1941-0476
Online Access:Get full text
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Summary:The problem of single-group multiple-antenna multicasting is considered, where common information should be sent to a large number of users. The multiple-antenna transmitter is assumed to accurately know the instantaneous downlink channel state information (CSI) for all users, and our objective is to design the beamformer complex weights to minimize the total transmitted power subject to individual user quality-of-service (QoS) constraints. In this correspondence, a channel orthogonalization and local refinement based approach is developed to solve this problem in an approximate way. The proposed techniques are shown via computer simulations and real data processing to offer an attractive performance-to-complexity tradeoff as compared to the state-of-the-art multiple-antenna multicasting algorithms.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2010.2046436