Hanaa Hameed Merzah

Background: Mobile networks today specifically 5G require appreciable secure networks because of the emerging risks due to the growth in the deployment of network structures. Discovered weaknesses of cryptographic conventional methods to quantum computing breakthroughs make it necessary to develop quantum-resistant solutions. Objective: The article analysing Quantum Key Distribution (QKD) protocols in improving cryptographic performance in 5G networking environment, with emphasis on incorporating QKD into 5G network designs. Methods: The study performed both a systematic literature review and an evaluation of current QKD deployments, as well as a qualitative assessment of data derived from 20 key informant interviews on QKD in telecommunications and 15 technical reports. Latency and key generation rate experiments were both conducted with relay mechanisms including both trusted and untrusted optical fiber and wireless relay links, in addition to integration issues were explored using simulations over fiber and wireless emulated networks. Results: The outcomes emphasise that QKD brings radically enhanced key security in conjunction with low delay and high rate within integrated 5G architectures. Hybrid relay-based QKD augmented key generation rates by 23 % in comparison with previous techniques. There are also concerns associated with the implementation of internationally agreed on standards which include issues pertaining to non-compliance of the standards used in different countries and high costs involved when trying to implement these standards. Conclusion: QKD implementation also increases cryptographic protection of the 5G networks and makes infrastructures quantum-immune to threats originating from the quantum-age. To make it more widespread, additional standardization and a reduction in cost are required.

  Background: The marriage of 5G and Artificial Intelligence (AI) has been brought forward as a key enabler of Industry 4.0 and smart city applications. These technologies solve the problem of latency, scalability, and energy use, providing technology support for real-time decision-making and efficient organization of work. Nevertheless, studies regarding their individual and collective effects in a plethora of industrial and urban contexts are still limited. Objective: The objective of this research is to assess the performance, energy saving, and expansibility of 5G and AI synergies in manufacturing, logistics, healthcare, and smart city applications and highlight their challenges and potential for further exploration. Methods: An experimental data collection, mathematical modeling and comparative analysis approach was employed. Performance indicators including latency, possible and actual throughput, power usage, and predicting achievement were measured in real pilot tests implemented in dense networks and IoT contexts. Available data were compared with other similar studies to gain an understanding of the results. Results: The conjoin with 5G and AI suggested potential optimization of process; the latency has been decreased to more than 90%, its predictive maintenance was sharpened, and its power consumption was decrease to 75%. The feasibility of extending scalability and system reliability of the protocol was confirmed in dense IoT environments, with further potential for emission reduction. Conclusion: The study identifies the use of 5G in Industry 4.0 with AI in addressing dynamic issues but potential drawback includes scalability and security. More studies should be conducted on the novel hybrid architectures and 6G integration concerning more extensive areas.