MIMO channel prediction results on outdoor collected data

Abstract

Abstract-In this paper we analyze the performance of an autoregressive MIMO channel predictor on outdoor data collected with both vehicular and pedestrian transmitter motion. The metric of performance considered is aggregate beamforming gain obtained using dominant eigenmode MIMO communications when the transmit beamforming vector is chosen based on the channel prediction. We show that while the prediction range obtained on this real data is somewhat less than earlier published results based on simulated data, we are still able to obtain 2X to 3X greater feedback latency tolerance than without using these predictive techniques.

Coherent Communications in Self-Organizing Networks With Distributed Beamforming

“…Many advanced techniques such as directional and multiple-input-multiple-output (MIMO) communications have been developed to support high-rate communications with low power consumption over long distances, which cannot be met by traditional point-to-point transmissions (from one transmitter to one receiver). Among these techniques, coherent communications use only a single omnidirectional antenna per node and has emerged as a viable solution to improve the power gain between distant groups of nodes, which consequently leads to the better signal quality at receivers [2]- [5]. This power gain is up to N 2 M for N transmitters communicating with M receivers when the number of data streams K is 1.…”