研究目的
To maximize the rate of secondary users in an energy-limited cognitive relay network under the energy causality constraint and the constraint that the demanded rate of primary users is satisfied.
研究成果
The proposed DWPT scheme is greatly preferred when ST is close to PR and SR, as it effectively enhances the amount of harvested energy at ST. The optimal and suboptimal solutions provide significant performance improvements over schemes without destination-aided power transfer.
研究不足
The study assumes perfect and imperfect CSI scenarios. The complexity of the optimal solution is high due to the use of standard toolboxes like CVX. The suboptimal solution reduces complexity but may not achieve the same performance as the optimal solution.
1：Experimental Design and Method Selection:
The study involves designing a relay processing matrix, cognitive beamforming vector, and power splitter to maximize the rate of secondary users. Theoretical models and algorithms include semi-de?nite relaxation, Charnes–Cooper transformation, matrix decomposition, zero forcing scheme, and dual method.
2：Sample Selection and Data Sources:
The study uses a cognitive relay network model with a primary transmitter (PT), primary receiver (PR), secondary transmitter (ST), and secondary receiver (SR).
3：List of Experimental Equipment and Materials:
The study involves multiple-antenna ST and single-antenna PT, PR, and SR.
4：Experimental Procedures and Operational Workflow:
The study involves two phases: energy harvesting and information transmission. The ST harvests energy from PT, PR, and SR in the first phase and relays information in the second phase.
5：Data Analysis Methods:
The study uses simulation results to evaluate the performance of the proposed DWPT scheme.
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