5G
Introduction In recent years, the field of deep learning has seen significant progress in developing new and innovative neural network architectures. The advent of more complex deep neural networks and the availability of large datasets and powerful hardware has led to the development of radical network architectures. These architectures aim
AL/ML in Telecom
Introduction Artificial Intelligence (AI) is an emerging field that has gained significant momentum in the past few years. It is a branch of computer science that focuses on the development of algorithms and systems that can perform tasks that would typically require human intelligence. One of the most promising applications
5G
Introduction With the proliferation of mobile devices and the increasing amount of data being generated by them, machine learning has become an important tool for making sense of this data. However, the use of machine learning in mobile data is not without its challenges. One of the biggest challenges is
AL/ML in Telecom
Wireless communication and sensing technologies have rapidly evolved in recent years, enabling a wide range of applications across different sectors including healthcare, transportation, and manufacturing. The integration of Artificial Intelligence (AI) techniques into these technologies has the potential to further enhance their capabilities and provide more accurate, efficient, and reliable
AL/ML in Telecom
Introduction: Radio positioning and sensing is the process of using radio waves to locate and track objects or people. It is a critical technology for applications such as asset tracking, indoor navigation, and safety and security systems. Traditional radio positioning and sensing techniques, such as time of arrival (TOA), time
AL/ML in Telecom
Introduction Cyber-physical systems (CPS) are integrated systems that bridge the physical world with the digital world. These systems are becoming increasingly prevalent in many domains, such as transportation, healthcare, manufacturing, and energy. However, the complexity of CPS and the need for real-time control and monitoring pose significant challenges for system
AL/ML in Telecom
Introduction: The rise of the Internet of Things (IoT) and the impending rollout of 5G networks have given rise to a new class of applications that require ultra-reliable and low-latency communication. These applications range from self-driving cars to industrial automation and require a communication network that can provide high levels
AL/ML in Telecom
Introduction Satellite communications are essential for providing connectivity to remote and underserved areas, as well as for supporting critical applications such as disaster response, military communications, and remote sensing. However, satellite communications face several technical challenges, such as high latency, limited bandwidth, and susceptibility to interference. Artificial intelligence (AI) can
AL/ML in Telecom
Introduction: Wireless communication systems have been rapidly evolving over the years to meet the ever-increasing demand for higher data rates and improved network coverage. These systems have become increasingly complex, with numerous parameters that can be optimized for enhanced performance. The complexity of the system, coupled with the high-dimensional search
AL/ML in Telecom
Introduction Massive MIMO (multiple-input multiple-output) technology has emerged as a key technology for next-generation wireless networks. It uses a large number of antennas at the base station to serve multiple users simultaneously, providing high spectral efficiency and improved signal quality. However, massive MIMO also poses several challenges, such as high
AL/ML in Telecom
Introduction Millimeter-wave (mmWave) technology has emerged as a promising solution for next-generation wireless communication systems. With its high data rates and large bandwidth, mmWave technology is expected to play a critical role in the development of 5G and beyond networks. However, mmWave technology also poses significant technical challenges, including signal
AL/ML in Telecom
Introduction Artificial Intelligence (AI) has emerged as a key technology for improving the performance and efficiency of wireless communication systems. With the increasing demand for high-speed data transfer and the proliferation of Internet of Things (IoT) devices, wireless communication networks must support a diverse range of use cases while ensuring