Transmission rate Optimization by dynamic resource allocation algorithm for RF/VLC heterogeneous networks.

Area of Science:

• Wireless Communication
• Optical Communication
• Network Resource Management

Background:

• Heterogeneous networks combining Radio Frequency (RF) and Visible Light Communication (VLC) offer enhanced capacity.
• Efficient resource allocation is crucial for optimizing performance in these hybrid systems.
• Existing methods may not fully address the complexities of dynamic resource management in RF/VLC environments.

Purpose of the Study:

• To propose a Dynamic Resource Allocation (DRA) algorithm for RF/VLC heterogeneous networks.
• To maximize the time-average transmission rate under a time-average transmit power budget.
• To provide an efficient solution for resource block, subchannel, and power allocation.

Main Methods:

• Lyapunov optimization technique to convert the time-average problem into single timeslot online problems.
• Decomposition of the complex, non-convex problem into three independent subproblems.
• Application of Lagrange relaxation and convex optimization theory for a non-iterative solution.

Main Results:

• The proposed DRA algorithm effectively optimizes transmission rates in RF/VLC heterogeneous networks.
• Numerical simulations demonstrate the algorithm's superiority over classical approaches in terms of transmission rate.
• The DRA algorithm shows improved system stability compared to existing methods.

Conclusions:

• The developed DRA algorithm provides an effective solution for resource allocation in hybrid RF/VLC systems.
• This work contributes to the advancement of efficient resource management in integrated wireless and optical networks.
• The findings will aid in the design and development of future hybrid RF/VLC systems.