Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  consider a full duplex multiuser multiple-input multiple-output system and study the sum rate maximization in a wireless pored communication networks.  assume that the users of uplink (UL) channel have no available por supply and thus a harvest-then-transmit protocol is utilized. Specifically, the base station (BS) first conveys simultaneously the energy to all UL users via energy beamforming and also transmit the information to all users in the downlink (DL) channel via information beamforming. Then, the users in the UL channel send their independent information to the BS using their harvested energy in the second phase. Since the utility function of the sum rate maximization is nonconvex, and thus, the optimal solution is difficult to find in general. To solve this problem,  propose an iterative algorithm to obtain suboptimal solution based on semidefinite program in each iteration. Simulation results demonstrate that the proposed design outperforms the conventional design.
['Van-Dinh Nguyen', 'Hieu V. Nguyen', 'Gil-Mo Kang', 'Hyeon Min Kim', 'Oh-Soon Shin']
I am writing a research paper on a idea Sum rate maximization for full duplex wireless-powered communication networks
[{"from": "human", "value": "I am writing a research paper on a idea Sum rate maximization for full duplex wireless-powered communication networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  consider a full duplex multiuser multiple-input multiple-output system and study the sum rate maximization in a wireless pored communication networks.  assume that the users of uplink (UL) channel have no available por supply and thus a harvest-then-transmit protocol is utilized. Specifically, the base station (BS) first conveys simultaneously the energy to all UL users via energy beamforming and also transmit the information to all users in the downlink (DL) channel via information beamforming. Then, the users in the UL channel send their independent information to the BS using their harvested energy in the second phase. Since the utility function of the sum rate maximization is nonconvex, and thus, the optimal solution is difficult to find in general. To solve this problem,  propose an iterative algorithm to obtain suboptimal solution based on semidefinite program in each iteration. Simulation results demonstrate that the proposed design outperforms the conventional design."}]