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Semantic communication represents a promising roadmap toward achievingend-to-end communication with reduced communication overhead and an enhanceduser experience. The integration of semantic concepts with wirelesscommunications presents novel challenges. This paper proposes a flexiblesimulation software that automatically transmits semantic segmentation mapimages over a communication channel. An additive white Gaussian noise (AWGN)channel using binary phase-shift keying (BPSK) modulation is considered as thechannel setup. The well-known polar codes are chosen as the channel codingscheme. The popular COCO-Stuff dataset is used as an example to generatesemantic map images corresponding to different signal-to-noise ratios (SNRs).To evaluate the proposed software, we have generated four small datasets, eachcontaining a thousand semantic map samples, accompanied by comprehensiveinformation corresponding to each image, including the polar codespecifications, detailed image attributes, bit error rate (BER), and frameerror rate (FER). The capacity to generate an unlimited number of semantic mapsutilizing desired channel coding parameters and preferred SNR, in conjunctionwith the flexibility of using alternative datasets, renders our simulationsoftware highly adaptable and transferable to a broad range of use cases.

Automatic and Flexible Transmission of Semantic Map Images using Polar Codes for End-to-End Semantic-based Communication Systems