Adaptive PID Scheme for OCDMA Next Generation PON Based on Heuristic Swarm Optimization

In this paper, an adaptive proportional–integral-derivative (PID) distributed power control algorithm (DPCA) for next generation passive optical networks (NG-PON) is investigated. The adaptive tuning procedures aiming to calibrate the PID gains (proportional, integral, and derivative) based on heuristic particle swarm optimization (PSO) is deployed to design the PID block control. For the DPCA-PID-PSO, important aspects of PID gains, including tuning procedure, algorithm convergence, algorithm performance under time-delay, and channel error estimation, as well as the computational complexity are investigated to evaluate the effectiveness and efficiency of the proposed scheme. Our numerical results have revealed that the proposed DPCA-PID-PSO scheme is effective and consistently robust to solve the power allocation problem with adequate velocity of the convergence and the quality of the solutions for different cost functions considering the time-delay and channel error estimation deviations.

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