DocumentCode
2099720
Title
Joint power control and beamforming for capacity improvement in wireless networks with antenna arrays
Author
Rashid-Farrokhi, F. ; Tassiulas, L. ; Liu, K.J.R.
Author_Institution
Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
Volume
1
fYear
1996
fDate
18-22 Nov 1996
Firstpage
555
Abstract
The interference reduction capability of antenna arrays and the power control algorithms have been considered separately as means to increase the capacity in wireless communication networks. The minimum variance beamformer maximizes the carrier to interference ratio (CIR) when it is employed in the receiver of a wireless link. In a system with omnidirectional antennas, power control algorithms are used to maximize the CIR as well. We consider a system with power control capabilities which uses antenna arrays at the receivers. An iterative algorithm is proposed to jointly update the transmission powers and the beamformer weights so that it converge to the jointly optimal beamforming and transmission power vector. The algorithm is distributed and uses only local interference measurements. In an uplink transmission scenario it is shown how base assignment can be incorporated in addition to beamforming and power control such that a globally optimum solution is obtained. The network capacity increase and the saving in mobile power achieved by beamforming are evaluated through a numerical study
Keywords
adaptive antenna arrays; array signal processing; channel capacity; cochannel interference; convergence of numerical methods; direction-of-arrival estimation; distributed algorithms; iterative methods; land mobile radio; power control; radio links; radio networks; radio receivers; radio transmitters; radiofrequency interference; receiving antennas; telecommunication control; CIR; antenna arrays; beamformer weights; carrier to interference ratio; cochannel interference; distributed algorithm; interference reduction; iterative algorithm; local interference measurements; minimum variance beamformer; mobile power saving; network capacity; omnidirectional antennas; optimal beamforming; power control; power control algorithms; receivers; transmission power vector; uplink transmission; wireless link; wireless networks; Antenna arrays; Array signal processing; Base stations; Intelligent networks; Interference; Iterative algorithms; Power control; Signal to noise ratio; Transmitters; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity
Conference_Location
London
Print_ISBN
0-7803-3336-5
Type
conf
DOI
10.1109/GLOCOM.1996.594424
Filename
594424
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