Title :
New Beamforming Techniques Based on Virtual SINR Maximization for Coordinated Multi-Cell Transmission
Author :
Park, Seok-Hwan ; Park, Haewook ; Kong, Hanbae ; Lee, Inkyu
Author_Institution :
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
fDate :
3/1/2012 12:00:00 AM
Abstract :
In this paper, we propose new beamforming techniques based on virtual signal-to-interference-plus-noise ratio (VSINR) for weighted sum-rate (WSR) maximization in coordinated multi-cell transmission. In earlier works based on the VSINR maximization, the parameters which control the interference power and the noise variance were set to fixed values regardless of channel realizations and the signal-to-noise ratio level. In order to obtain an improved WSR performance, we propose a method which adaptively adjusts the parameters after establishing a connection between the WSR and VSINR. Our proposed method can be applied to the cases of various coordination levels among base stations. To address practical implementation issues, a decentralized implementation of the beamforming techniques is also proposed based on local channel state information. Numerical results confirm that the proposed centralized schemes provide near-optimal WSR performance and the proposed decentralized methods show a negligible performance loss compared to the centralized algorithms with reduced system complexity.
Keywords :
array signal processing; cellular radio; radiofrequency interference; telecommunication channels; MIMO network; VSINR maximization; channel realization; coordinated multicell transmission; coordination levels; decentralized implementation; interference power control; local channel state information; near-optimal WSR performance; negligible performance loss; noise variance; practical implementation issues; signal-to-noise ratio level; system complexity reduction; virtual SINR maximization-based new beamforming techniques; virtual signal-to-interference-plus-noise ratio; weighted sum-rate maximization; Antennas; Approximation methods; Array signal processing; Equations; Interference; Signal to noise ratio; Vectors; Beamforming; inter-cell interference; multi-cell systems; network MIMO; weighted sum-rate;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2012.011012.110156