The purpose of this research is to analyze and explore quantum theorems as a wireless telecommunications security solution in the future. This study uses a quantitative approach through simulation and performance analysis of QKD systems in wireless channels, by combining literature studies and comparative analysis between QKD and PQC. Meanwhile, the wireless communication simulation model, using the QKD protocol and PQC algorithm, with Free Space Optics (FSO), WiFi, and LiFi-based network scenarios. The simulation was carried out using MATLAB. This study is based on QKD, which uses BB84 and CV-QKD protocols on FSO 100m and LiFi wireless channels. And based on PQC, which uses the Kyber algorithm, with AES authentication for communication. Both models were simulated and tested based on the parameters of Quantum Bit Error Rate, Key Generation Rate, latency, and resistance to third-party attacks (wiretapping detection). Furthermore, the analysis was carried out quantitatively and comparatively to compare the performance of QKD and PQC based on the QBER, latency, KGR, and wiretapping detection of implementation. This analysis are combined with data based on the literature, to formulate optimal implementation strategies in the context of future wireless networks. The results indicate that QKD, specifically CV-QKD, has significant potential for use in attack-sensitive wireless communications, such as military, government, and industrial applications. However, this model requires more complex hardware and infrastructure investments in its implementation. Meanwhile, PQC offers a more ready-to-use and cost-effective solution for everyday communications that remains resilient to quantum attacks.

Objective: analyze the modulation scheme that can intelligently select the appropriate modulation model for service conditions to obtain a high Signal to Noise Ratio, as well as throughput efficiency on wireless networks through the DNN approach. Method: this study uses simulations with the Python language, through AI-Driven on BPSK, QPSK, 16-QAM, and 64-QAM modulation, to determine the SNR and Quality of Service (QoS) produced, both through conventional approaches and Deep Neuro Network (DNN). Researh Finding: AI-Driven modulation used for Cognitive Cellular Networks (CCN), through Deep Neuro Network designed to intelligently classify and select the appropriate modulation model to be applied, shows significant improvement in throughput efficiency, QoS and has the ability to adapt to the environment in dynamic networks. Conclussion: AI-Driven using Deep Neuro Network is able to dynamically adapt to determine the selected modulation model, according to the user's environmental conditions, increase spectrum efficiency and throughput, and increase SNR which can automatically increase the efficiency of network usage.

Jaringan Optical Wireless adalah sistem komunikasi yang memanfaatkan frekuensi cahaya sebagai media transmisinya, dengan menggunakan daerah frekuensi infra merah sebagai panjang gelombang. Dalam optical wireless, informasi dikirim menggunakan media udara melalui cahaya optik, umumnya digunakan dalam jarak yang relatif pendek, dan tentu saja sangat dipengaruhi oleh keadaan cuaca, adanya sinar matahari, petir, lampu atau cahaya yang memiliki panjang gelombang pada daerah infra merah. Kondisi yang mengganggu ini akan sangat mempengaruhi kualitas transmisi data dan informasi, apalagi jika jarak transmisi sinyal semakin jauh. Interferensi dapat menyebabkan kesalahan pada bit-bit sinyal yang dikirimkan, sehingga penerima atau penerima akan menerjemahkan sinyal tersebut menjadi bentuk data dan informasi yang berbeda. Metode : probabilitas error rate yang dipengaruhi oleh faktor transmisi yaitu jumlah user, bobot kode biner, panjang kode, jumlah bit data, probabilitas rate dan juga faktor peningkatan kecepatan. Penelitian ini bertujuan untuk menganalisis performansi Probability of Bit Error Rate pada sistem komunikasi optik nirkabel menggunakan OOK-CDMA dan PPM-CDMA. Hasil menunjukkan bahwa Probability of Bit Error atau Bit Error Rate pada PPM-CDMA memberikan performansi yang lebih baik dibandingkan OOK-CDMA.