DocumentCode :
2374662
Title :
Coordinated beamforming using semidefinite programming
Author :
Le, Tuan Anh ; Nakhai, Mohammad Reza
Author_Institution :
Centre for Telecommun. Res., King´´s Coll. London, London, UK
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
3790
Lastpage :
3794
Abstract :
In this paper, we study a coordinated beamforming (CBF) scheme for a multi-cell scenario where precoding/beamforming vectors for all coordinating base stations (BSs) are jointly designed in a manner that each BS transmits to its local users. We minimise the total transmit power across coordinating BSs while keeping the signal-to-interference-plus-noise ratio (SINR) at each user above the required level. We formulate the optimisation problem for CBF in a standard semidefinite programming form using instantaneous channel state information. Then, taking into consideration the uncertainty in the estimation of channel covariance matrix, we formulate the CBF problem based on the second order statistical properties of channel so that the robustness of the designed system parameters is guaranteed within a tolerable channel estimation error. We show that, although this robustness comes at the expense of increased overall power, a significant reduction in signaling overhead can be attained with a minor increase in total transmit power at moderately low SINRs.
Keywords :
array signal processing; cellular radio; channel estimation; covariance matrices; mathematical programming; precoding; radio transmitters; radiofrequency interference; statistical analysis; telecommunication signalling; vectors; BS; CBF scheme; SINR; channel covariance matrix estimation uncertainty; channel estimation error; coordinated beamforming; coordinating base station; instantaneous channel state information; multicell scenario; optimisation problem; power across transmission; precoding-beamforming vector; robustness; second order statistical property; signal-to-interference-plus-noise ratio; signaling overhead reduction; standard semidefinite programming form; Array signal processing; Covariance matrix; Interference; Optimization; Signal to noise ratio; Standards; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
ISSN :
1550-3607
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2012.6364232
Filename :
6364232
Link To Document :
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