Title
Adaptive Random Beamforming with Interference Suppression and Beam Selection in Cellular Networks
Abstract
In this paper, we propose an adaptive random beamforming scheme with beam selection. In order to recover the orthogonality among beams, we adopt a minimum mean-square error (MMSE) interference suppression receiver for the orthogonal random beamforming (ORBF) scheme and find efficient power allocation strategies. Based on a proportional-fairness criterion, we propose a sub-optimal beam selection scheme and show that the random beam selection (or power randomization) scheme can outperform the conventional equal power allocation scheme, mitigating the burden of optimal beam selection. Therefore, the proposed ORBF/MMSE with beam selection scheme can improve the degraded performance in the interference-limited environment considering the feedback overhead and time selectivity of the wireless channel for practical cellular systems.
Year
DOI
Venue
2009
10.1109/GLOCOM.2009.5425361
GLOBECOM
Keywords
Field
DocType
sub-optimal beam selection scheme,adaptive random beamforming,cellular radio,random beam selection,mmse,conventional equal power allocation,orthogonal random beamforming scheme,efficient power allocation strategy,optimal beam selection,wireless channel,array signal processing,beam selection scheme,radio networks,cellular network,orthogonal random beamforming,adaptive random beamforming scheme,interference suppression,power randomization,cellular networks,minimum mean square error,mean square error methods,orbf,beam selection,mimo,transmitters,interference,signal to noise ratio,proportional fair,resource management
Beamforming,Wireless,Telecommunications,Computer science,Signal-to-noise ratio,Minimum mean square error,Algorithm,MIMO,Orthogonality,Real-time computing,Interference (wave propagation),Cellular network
Conference
ISSN
ISBN
Citations 
1930-529X
978-1-4244-4148-8
1
PageRank 
References 
Authors
0.35
17
3
Name
Order
Citations
PageRank
Young-Jun Hong1859.61
Su Min Kim212919.92
Dan Keun Sung31478147.84