DocumentCode :
3347110
Title :
SINR Balancing with Coordinated Multi-Cell Transmission
Author :
Tölli, Antti ; Pennanen, Harri ; Komulainen, Petri
Author_Institution :
Centre for Wireless Commun., Univ. of Oulu, Oulu
fYear :
2009
fDate :
5-8 April 2009
Firstpage :
1
Lastpage :
6
Abstract :
Coordinated multi-cell processing facilitates multiuser preceding techniques across distributed base station (BS) antenna heads. Hence, it can efficiently exploit the available spatial degrees of freedom in a multi-user multiple-input multiple-output (MIMO) channel. A generalised method for joint design of linear transceivers with coordinated multi-cell processing subject to per-BS/antenna power constraints is proposed. The system optimisation objective is to balance the weighted SINR across all the transmitted data streams. The method can accommodate a variety of scenarios from coherent multi-cell beamforming across a large virtual MIMO channel to single-cell beamforming with inter- cell interference coordination and beam allocation. The performance of different coherent/non-coherent and coordinated/non-coordinated multi-cell transmission methods with optimal and heuristic beam allocation algorithms is numerically compared in different scenarios with varying inter-cell interference. The coherent multi-cell beamforming greatly outperforms the noncoherent cases, especially at the cell edge and with a full spatial load. However, the coordinated single-cell transmission with interference avoidance and dynamic beam allocation performs considerably well with a partial spatial loading.
Keywords :
MIMO communication; adjacent channel interference; antenna arrays; array signal processing; transceivers; MIMO channel; antenna power constraints; coherent multicell beamforming; coordinated multicell processing; data streams; distributed base station antenna; dynamic beam allocation; heuristic beam allocation algorithms; intercell interference coordination; linear transceivers; multiuser multiple-input multiple-output channel; partial spatial loading; signal to noise ratio balancing; single-cell beamforming; system optimisation objective; Array signal processing; Base stations; Communications Society; Design methodology; Dynamic scheduling; Interference constraints; MIMO; Processor scheduling; Signal to noise ratio; Transceivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference, 2009. WCNC 2009. IEEE
Conference_Location :
Budapest
ISSN :
1525-3511
Print_ISBN :
978-1-4244-2947-9
Electronic_ISBN :
1525-3511
Type :
conf
DOI :
10.1109/WCNC.2009.4917969
Filename :
4917969
Link To Document :
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