Computer Science – Information Theory
Scientific paper
2012-02-03
Computer Science
Information Theory
22 pages, 5 figures
Scientific paper
This paper considers base station (BS) cooperation in the form of coordinated beamforming, focusing on min-max fairness in the power usage subject to target SINR constraints. We show that the optimal beamforming strategies have an interesting nested zero-forcing structure. In the asymptotic regime where the number of antennas at each BS and the number of users in each cell both grow large with their ratio tending to a finite constant, the dimensionality of the optimization is greatly reduced, and only knowledge of statistics is required to solve it. The optimal solution is characterized in general, and an algorithm is proposed that converges to the optimal transmit parameters, for feasible SINR targets. For the two cell case, a simple single parameter characterization is obtained. These asymptotic results provide insights into the average performance, as well as simple but efficient beamforming strategies for the finite system case. In particular, the optimal beamforming strategy from the large systems analysis only requires the base stations to have local instantaneous channel state information; the remaining parameters of the beamformer can be calculated using channel statistics which can easily be shared amongst the base stations.
Hanly Stephen V.
Zakhour Randa
No associations
LandOfFree
Min-max fair coordinated beamforming in cellular systems via large systems analysis does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Min-max fair coordinated beamforming in cellular systems via large systems analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Min-max fair coordinated beamforming in cellular systems via large systems analysis will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-4034