Mobile internet traffic is increasing explosively, while many type of applications are delay-elastic in nature. We investigate the asynchronous delivery oriented algorithms to decrease peak-to-average ratio (PAR), i.e., the ratio of optical resource usage in the peak period to the average per-period usage of the fronthaul, while improve the optical resource allocation efficiency. In this paper, we formulate an integer non-linear programming (INLP) optimization model and propose an adaptive generic algorithm (GA) to realize the optimization in a limited time. The simulation results show that the maximum PAR decreases by 32% with asynchronous delivery oriented optical resource optimization. Besides, optical resource saving can be achieved with minimal influence on topology, and the load difference can be further reduced.
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Wang et al. (2016) studied this question.