1 citations · 1 across the 3 of their papers we have counts for
6 papers
A Training-Based Mutual Information Lower Bound for Large-Scale Systems
Xiangbo Meng, Kang Gao, Bertrand M. Hochwald
We provide a mutual information lower bound that can be used to analyze the effect of training in models with unknown parameters. For large-scale systems, we show that this bound c…
Analyzing Training Using Phase Transitions in Entropy---Part I: General Theory
Kang Gao, Bertrand Hochwald
We analyze phase transitions in the conditional entropy of a sequence caused by a change in the conditional variables. Such transitions happen, for example, when training to learn…
Training-Based Equivalence Relations in Large-Scale Quantized Communication Systems
Kang Gao, Xiangbo Meng, J. Nicholas Laneman +4
We show that a quantized large-scale system with unknown parameters and training signals can be analyzed by examining an equivalent system with known parameters by modifying the si…
Training for Channel Estimation in Nonlinear Multi-Antenna Transceivers
Kang Gao, J. Nicholas Laneman, N. J. Estes +2
Recent efforts to obtain high data rates in wireless systems have focused on what can be achieved in systems that have nonlinear or coarsely quantized transceiver architectures. Es…
Capacity of Multiple One-Bit Transceivers in a Rayleigh Environment
Kang Gao, J. Nicholas Laneman, Bertrand Hochwald
We analyze the channel capacity of a system with a large number of one-bit transceivers in a classical Rayleigh environment with perfect channel information at the receiver. With $…
Beamforming with Multiple One-Bit Wireless Transceivers
Kang Gao, J. Nicholas Laneman, Bertrand Hochwald
Classical beamforming techniques rely on highly linear transmitters and receivers to allow phase-coherent combining at the transmitter and receiver. The transmitter uses beamformin…