Joint Transceiver Optimization for MISO SWIPT Systems With Time Switching - 2018 PROJECT TITLE :Joint Transceiver Optimization for MISO SWIPT Systems With Time Switching - 2018ABSTRACT:This Project considers multiple-input single-output simultaneous wireless information and power transfer (SWIPT) broadcast channels (BCs) where a multi-antenna transmitter serves single antenna receivers every equipped with a time switching (TS) circuit for info decoding (ID) and energy harvesting (EH). To be specific, we have a tendency to study a theme which jointly determines the time durations allocated for the ID and also the EH modes at every receiver and the transmit covariance matrices at the transmitter. Then, we have a tendency to present a general joint TS protocol for the SWIPT BC which includes standard TS schemes as special cases. So as to totally characterize the performance of the proposed joint TS systems, the achievable rate region is analyzed underneath EH constraint at the receivers. By applying the rate profile ways, we tend to determine the optimal TS ratios and also the optimal transmit covariance matrices which achieve the boundary points of the rate region. Then, the boundary points are obtained by solving the average transmit power minimization problems with individual rate constraints at the receivers. To unravel these non-convex problems, the original problems are decoupled into subproblems with fastened auxiliary variables. Then, the globally optimal TS ratios and also the transmit covariance matrices are computed by finding the optimal auxiliary variables via convex optimization techniques. Numerical results demonstrate that the proposed joint TS theme outperforms typical TS ways. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Joint Optimization of Hybrid Beamforming for Multi-User Massive MIMO Downlink - 2018 Joint User Association and User Scheduling for Load Balancing in Heterogeneous Networks - 2018