In this paper we present a tutorial and a comprehensive survey on the SR technology, analyzing research activities, standardization efforts and implementation results.
Networking and Internet Architecture
In the telecom domain, precise forecasting of time series patterns, such as cell key performance indicators (KPIs), plays a pivotal role in enhancing service quality and operational efficiency.
Reconfigurable intelligent surface (RIS)-assisted communication appears as one of the potential enablers for sixth generation (6G) wireless networks by providing a new degree of freedom in the system design to telecom operators.
Despite these successes, quantum teleportation of an optical input state onto a long-lived optomechanical memory is an outstanding challenge.
Quantum Physics Mesoscale and Nanoscale Physics Optics
Approximately half of the global population does not have access to the internet, even though digital connectivity can reduce poverty by revolutionizing economic development opportunities.
Computers and Society General Economics Economics
Furthermore, we propose a new model for multivariate spatial-temporal prediction, mainly consisting of two extending graph attention networks (GAT).
Extensive experiments on two real-world telecom fraud detection datasets demonstrate that our proposed method is effective for the graph imbalance problem, outperforming the state-of-the-art GNNs and GNN-based fraud detectors.
Alarm root cause analysis is a significant component in the day-to-day telecommunication network maintenance, and it is critical for efficient and accurate fault localization and failure recovery.
The innovation provided by network virtualization in 5G, together with standardization and openness boosted by the Open Radio Access Network (O-RAN) Alliance, has paved the way to a collaborative future in cellular systems, driven by flexible network sharing.
Networking and Internet Architecture Cryptography and Security
In this paper, we propose a Bi-level Federated Graph Neural Network anomaly detection and diagnosis model that is able to detect anomalies in Telecom networks in a privacy-preserving manner, while minimizing communication costs.