DocumentCode :
2043150
Title :
Coordinated beamforming for the multi-cell multi-antenna wireless system
Author :
Dahrouj, Hayssam ; Yu, Wei
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON
fYear :
2008
fDate :
19-21 March 2008
Firstpage :
429
Lastpage :
434
Abstract :
In a conventional wireless cellular system, signal processing is performed on a per-cell basis; out-of-cell interference is treated as background noise. This paper considers the benefit of coordinating base-stations across multiple cells in a multi-antenna beamforming system, where multiple base-stations may jointly optimize their respective beamformers to improve the overall system performance. This paper focuses on a downlink scenario where each remote user is equipped with a single antenna, but where multiple remote users may be active simultaneously in each cell. The design criterion is the minimization of the total weighted transmitted power across the base-stations subject to signal-to-interference-and-noise-ratio (SINR) constraints at the remote users. The main contribution is a practical algorithm that is capable of finding the joint optimal beamformers for all base-stations globally and efficiently. The proposed algorithm is based on a generalization of uplink-downlink duality to the multi-cell setting using the Lagrangian duality theory. The algorithm also naturally leads to a distributed implementation. Simulation results show that a coordinated beamforming system can significantly outperform a conventional system with per-cell signal processing.
Keywords :
antennas; cellular radio; duality (mathematics); interference; noise; radio links; Lagrangian duality theory; base stations; coordinated beamforming; downlink scenario; multicell multiantenna wireless system; out-of-cell interference; signal processing; signal-to-interference-and-noise-ratio constraints; uplink-downlink duality; wireless cellular system; Array signal processing; Background noise; Downlink; Interference; Signal design; Signal processing; Signal processing algorithms; Signal to noise ratio; System performance; Wireless cellular systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Sciences and Systems, 2008. CISS 2008. 42nd Annual Conference on
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-2246-3
Electronic_ISBN :
978-1-4244-2247-0
Type :
conf
DOI :
10.1109/CISS.2008.4558565
Filename :
4558565
Link To Document :
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