研究目的
To consider the resource allocation problem of a VLC downlink transmission system employing dynamic time division multiple access where time and power variables are tuned to maximize spectral ef?ciency (SE) under constraints on the average optical intensity, the energy budget and the quality-of-service.
研究成果
The proposed low-complexity algorithm effectively solves the joint time and power allocation problem for dynamic TDMA-based VLC systems, demonstrating significant spectral efficiency gains over initial solutions. The research highlights the importance of considering illumination and energy constraints in VLC system design and suggests directions for future work in addressing system limitations and expanding applicability.
研究不足
The study is constrained by the assumption of line-of-sight conditions for all links, the sensitivity of VLC systems to illumination constraints, and the computational complexity of solving non-convex optimization problems. Potential areas for optimization include handling non-line-of-sight conditions and further reducing algorithm complexity.
1：Experimental Design and Method Selection:
The study employs a dynamic TDMA-based VLC system model to optimize spectral efficiency through joint time and power allocation. Theoretical models and algorithms are used to transform the non-convex problem into a difference of concave functions format for solution.
2：Sample Selection and Data Sources:
The simulation setup involves a single VLC cell serving multiple users uniformly distributed over a circle. Channel models and user distributions are based on theoretical and practical considerations.
3：List of Experimental Equipment and Materials:
The setup includes a single LED transmitter, receivers with specific parameters (e.g., APD = 1 cm2, φA = 40°), and simulation tools for modeling and analysis.
4：Experimental Procedures and Operational Workflow:
The methodology involves formulating the optimization problem, applying DC programming and SCA techniques, and iteratively solving for optimal time and power allocations.
5：Data Analysis Methods:
Performance metrics such as spectral efficiency are evaluated through simulations, comparing proposed algorithms against baseline methods under varying conditions.
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