9 citations · 14 across the 13 of their papers we have counts for
14 papers
Deep Multi-Emitter Spectrum Occupancy Mapping that is Robust to the Number of Sensors, Noise and Threshold
Abbas Termos, Bertrand Hochwald
One of the primary goals in spectrum occupancy mapping is to create a system that is robust to assumptions about the number of sensors, occupancy threshold (in dBm), sensor noise,…
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…
New equivalent model of quantizer with noisy input and its application for ADC resolution determination in an uplink MIMO receiver
Arkady Molev-Shteiman, Xiao-Feng Qi, Laurence Mailaender +2
When a quantizer input signal is the sum of the desired signal and input white noise, the quantization error is a function of total input signal. Our new equivalent model splits th…