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This paper provides n framework for deriving MIMO capacity bounds that takes channel estimation error into account by using the Cramer-Rao bound (CRB). Combining the CRB with capacity analysis allows for studies of the trade-off between estimation performance and throughput. The framework is used to investigate the impact of the spatio-temporal structure found in practical channel sounding experiments...
In some situations of channel coding with state information (CCSI) available at the transmitter, the encoder may not have perfect knowledge of the state information. In these situations, the state information may be viewed as the sum of a dominant (nominal) state information and a relatively weak perturbation. We analyze the decrease in capacity, or sensitivity of channel capacity to this perturbing...
In the paper we consider the case of covariance feedback in MIMO communications, where the channel matrix is modelled as a Gaussian random matrix with zero mean and a non-white covariance matrix available at the transmitter through receiver feedback. Although the structure of the optimal input covariance matrix that achieves the ergodic capacity is known, a closed form expression for its eigenvalues...
We develop an optimization program to calculate the ergodic capacity and the optimal input signal covariance of a Rician correlated MIMO wireless channel. The program employs the Newton method and the barrier interior-point method to solve convex stochastic formulations, using efficient gradient and Hessian calculations. We then use the program to study impacts of the channel mean, the transmit correlation,...
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