研究目的
To investigate the energy harvesting aided multiuser communication in spectrum sharing networks, aiming to maximize each user's own average throughput under the grid power constraint.
研究成果
The energy harvesting aided multiuser communication utilizing shared spectrum is studied, formulating the average throughput maximization problem as a stochastic game. Two practical algorithms, CVPBI and GoPGA, are designed based on theoretical analysis, with simulation results verifying their effectiveness.
研究不足
The study focuses on a specific scenario with 2 users and 3 slots, which may limit the generalizability of the findings. The algorithms' performance in more complex or larger networks is not explored.
1：Experimental Design and Method Selection:
The study formulates a stochastic game to model the multiuser transmission problem, considering the intermittence of harvested energy, channel state variation, randomness of data arrival, and interaction among users. It analyzes the game in infinite-stage and finite-stage scenarios, proposing algorithms for each case.
2：Sample Selection and Data Sources:
The study considers 2 users and 3 slots in simulations, with specified channel power gains, harvested energy arrival, and data arrival.
3：List of Experimental Equipment and Materials:
Not explicitly mentioned.
4：Experimental Procedures and Operational Workflow:
The CVPBI algorithm is used for the sufficient data scenario, and the GoPGA algorithm is proposed for the general scenario. Simulations are performed to verify the effectiveness of the proposed algorithms.
5：Data Analysis Methods:
The performance of the proposed algorithms is evaluated through simulations, comparing throughput performance with respect to the average grid power bound and harvested energy arrival.
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