Reliable mobility services and advanced traffic management are required to implement quality wireless broadband access and fixed-line network applications, and this has caused an ever-increasing growth in power consumption. Sustainability is key in telecommunication systems, and so there is an urgent need to optimize the energy efficiency of networks and develop efficient power management systems. This can ensure a power supply that is highly secured against interruptions and fluctuations and increasing power consumption, the essential features of evolving telecommunication technologies. Fuzzy logic can improve the intelligence of the network and user devices, mitigating the complexity of data transfer with high-quality speed. Moreover, advances in fuzzy logic-based control techniques lessen power quality issues and promote superior performance analysis, which in turn supports telecommunication management, comprising network management, fault management, and quality monitoring, among others.

Telecommunication systems are growing at a high rate, and the ongoing growth in data transmission has been aided by the development of the Internet of Things (IoT). With the advent of 5G technology and IoT-enabled communication devices, the speed and responsiveness of wireless networks has increased dramatically. However, challenges have emerged due to the build-up of data transmissions and as telecommunications systems become more vulnerable due to concerns with power quality. The relevant electronics are highly responsive to sensitive power quality phenomena, such as voltage sags, swells, transients, harmonics, and electrical noise. These vulnerabilities typically arise due to sudden increases or reductions in loads, for example, short circuits or faults, motors starting, electric heaters turning on, or increases in source impedance, which will be the root cause for disconnection in the network. Even though evolving telecommunication systems are planned to discard interferences, high power lines involve the risk of transmission disruptions. Power quality management must be focused on and improved to increase reliable data transmission rates and to reduce disrupted transmissions and failures. Thus, new fuzzy logic-based techniques, with a robust control approach, and the growth of real-time monitoring-based data analysis for power quality management are essential to regulate frequency, voltage, and power flow and optimize load management performance.

This Special Issue aims to highlight advancements in fuzzy logic algorithms, applications, and techniques for optimizing power quality management to evolve telecommunication systems. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

• Fuzzy logic-based algorithms for real-time monitoring of power quality for network demand management
• Fuzzy logic-based advanced telecommunication infrastructure for cyber-physical systems
• Fuzzy logic algorithms and techniques in telecommunication spectrum allocation for preventing major interferences
• Fuzzy intelligent protection systems for modernized power quality management in remote telecommunication systems
• Advanced technology integration and fuzzy logic to optimize power quality analyzers in telecommunication applications
• Fuzzy logic-based renewable energy systems for mitigating energy consumption
• Fuzzy logic-based control strategies to optimize secured power supply systems in telecommunications
• Fuzzy logic-based energy-efficient telecommunication networks for business applications
• Fuzzy logic for smart power management in 5G and IoT
• Fuzzy logic-based power-saving analysis and management in high-speed optical telecommunications for smart grids
• Evolving challenges, prospects, and impacts of fuzzy logic in power management of telecommunication systems