Coordinated Multi-Cell MIMO Beamforming Design Based on Group Maximum SINR Filtering
Date Issued
2011
Date
2011
Author(s)
Lin, Li-Lin
Abstract
In multi-cell multi-input multi-output (MIMO) channel where multiple base stations with multiple antennas transmit signals to a group of users with multiple antennas in their own cell, both interfering transmitters and data streams to different users in the same cell will cause interference to one user and thus decrease system’s throughput. By judiciously modifying the duality principle which is developed for single cell scenario to our multi-cell case, we propose an efficient approach to the joint transmit-receive beamforming and power allocation for each cell based on iterative method.
We adopt group maximum signal-to-interference-plus-noise-ratio (SINR) filter banks (GSINR-FB) as our beamformers and the average SINR is served as a metric to measure the quality of service (QoS). Moreover, we find a balancing SINR structure for optimal power allocation form to guarantee fairness of each user. We also propose a heuristic power allocation for sum rate maximization. The proposed algorithm can coordinate signal across cells, users in one cell and even data streams in one user to achieve better performance. Simulation results verify these proposed algorithms can align interference effectively and outperform other existing methods.
Subjects
Multi-cell
Coordinated multi-point
Multi-user multi-input multi-output
Interference channel
Intra-cell interference
Inter-cell interference
Beamforming
Type
thesis
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