Intelligent Computing in Communication Networks: Challenges, Solutions, and Research Prospects

Communication networks can be transformed through the implementation of computing, which can improve their overall performance, security, and energy efficiency. Nevertheless, several obstacles must be overcome before computing can be fully integrated into communication networks. This paper examines the challenges and research opportunities in the field of computing in communication networks. To take full advantage of computing, new algorithms and techniques must be developed, and machine learning must be explored. Big data analytics and the integration of edge and fog computing with computing techniques are also promising areas for research. The challenges that must be addressed include ethical and privacy concerns, energy consumption, integration with 5G networks, IoT, and cloud computing, and the development of resilient computing systems that can identify and respond to cyber threats. Overcoming these challenges will ensure that computing remains an essential tool for designing and optimizing communication networks.