Optimizing MIMO antenna systems with channel covariance feedback
IEEE Journal on Selected Areas in Communications 21:3 (2003) 406-417
Abstract:
In this paper, we consider a narrowband point-to-point communication system with nT transmitters and nR receivers. We assume the receiver has perfect knowledge of the channel, while the transmitter has no channel knowledge. We consider the case where the receiving antenna array has uncorrelated elements, while the elements of the transmitting array are arbitrarily correlated. Focusing on the case where nT = 2, we derive simple analytic expressions for the ergodic average and the cumulative distribution function of the mutual information for arbitrary input (transmission) signal covariance. We then determine the ergodic and outage capacities and the associated optimal input signal covariances. We thus show how a transmitter with covariance knowledge should correlate its transmissions to maximize throughput. These results allow us to derive an exact condition (both necessary and sufficient) that determines when beamforming is optimal for systems with arbitrary number of transmitters and receivers.Conductivity of Paired Composite Fermions
(2003)
Coexistence of Composite-Bosons and Composite-Fermions in nu=1/2 + 1/2 Quantum Hall Bilayers
(2003)
Monte Carlo evaluation of non-abelian statistics
Physical Review Letters 90:1 (2003) 016802/4
Abstract:
A numerical method was formulated to study braiding statistics of FQH excitations. The method was applied to perform the first direct calculation of the non-Abelian statistics in the MR state. Results confirm previous data drawn within the CFT framework.A model to calculate the capacity distribution of correlated MIMO channels and interferers
Institute of Electrical and Electronics Engineers (IEEE) 4 (2003) 1791-1796