Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes methods for optimizing bidirectional information rates beten a base station (BS) and a wirelessly pored mobile station (MS). In the first phase, the MS harvests energy using signals transmitted by the BS, whereas in the second phase both the BS and MS communicate to each other in a full-duplex mode. The BS-beamformer and the time-splitting parameter (TSP) of energy harvesting scheme are jointly optimized to obtain the BS-MS rate region. The joint optimization is non-convex, hover a computationally efficient optimum technique based upon semidefinite relaxation and line-search is proposed to solve the problem. Moreover, a suboptimum approach based upon the zero-forcing (ZF) beamformer constraint is also proposed. In this case, a closed-form solution of TSP is obtained. Simulation results demonstrate the advantage of the optimum method over the suboptimum method, especially for smaller values of BS transmit por and number of transmit antennas at the BS.
['Batu Krishna Chalise', 'Himal A. Suraweera', 'Gan Zheng']
I am writing a research paper on a idea Throughput maximization for full-duplex energy harvesting MIMO communications
[{"from": "human", "value": "I am writing a research paper on a idea Throughput maximization for full-duplex energy harvesting MIMO communications"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes methods for optimizing bidirectional information rates beten a base station (BS) and a wirelessly pored mobile station (MS). In the first phase, the MS harvests energy using signals transmitted by the BS, whereas in the second phase both the BS and MS communicate to each other in a full-duplex mode. The BS-beamformer and the time-splitting parameter (TSP) of energy harvesting scheme are jointly optimized to obtain the BS-MS rate region. The joint optimization is non-convex, hover a computationally efficient optimum technique based upon semidefinite relaxation and line-search is proposed to solve the problem. Moreover, a suboptimum approach based upon the zero-forcing (ZF) beamformer constraint is also proposed. In this case, a closed-form solution of TSP is obtained. Simulation results demonstrate the advantage of the optimum method over the suboptimum method, especially for smaller values of BS transmit por and number of transmit antennas at the BS."}]