Mitigation of environmental temperature variation effects using fuzzy systems and source-matched spreading codes for OCDMA networks

In this paper, we propose a new formalism for traffic transmission over optical code-division multiple-access (OCDMA) network architectures capable of mitigating environmental temperature variation effects in the transmission link. Those environmental effects do play an important role in the overall performance of the network. To carry out this analysis, we use unequal priority substreams with unequal reliability where the data is organized into blocks, and adjustable weight codes are configured by fuzzy system control at the network encoder. The proposed intelligent system can a priori compensate weight codes according to estimations of environmental temperature variations provided by external sensors networks. The simulation results show that the network performance can be significantly improved as long as users´ with adjustable-weight code controlled by fuzzy systems are employed.