Subhash Lakshminarayana

TL;DR: In this paper, two different techniques to mitigate the time-varying and intermittent nature of renewable energy generation are considered and the problem is formulated as a stochastic optimization problem with the objective of minimizing the time average cost of energy exchange within the grid.

TL;DR: In this paper, the authors considered the problem of coordinated multicell downlink beamforming in massive multiple input multiple output (MIMO) systems consisting of $N$ cells, $N t$ antennas per base station (BS) and $K$ user terminals (UTs) per cell.

TL;DR: In this article, an access point (AP) performs a simultaneous wireless information and power transfer (SWIPT) to serve a user terminal (UT) that is not equipped with external power supply.

TL;DR: This work considers a multiple-input single-output system in which an access point performs a simultaneous wireless information and power transfer to serve a user terminal that is not equipped with external power supply and shows the importance and benefits of CSI knowledge at the AP in SWIPT systems, albeit imperfect and acquired at the expense of the time available for the information transfer.

TL;DR: To improve the performance of the LOPN algorithm for the case with limited storage capacity, a threshold-based energy storage management (TESM) algorithm is proposed that utilizes the forecast information over the next a few time slots to make storage operation decisions.