Reducing feedback using compressive sensing for energy harvesting MISO systems

초록

This paper proposes an approach to solve an issue of reducing feedback for energy harvesting in multiple-input single-output systems, where each receiver receives both information and energy at the same time via its equipped power splitter. First, we formulate the problem of estimating channel state information (CSI) as a sparse vector recovery problem in compressive sensing (CS). Then, from a certain subset of potential mobile stations (MSs), we obtain the estimated CSI using the existing CS optimization algorithm to reduce the feedback overhead. We also optimize the noisy estimated CSI and provide a closed form expression for the average maximum signal-to-interference-plus-noise ratio at the destination MS. © 2015 IEEE.