Precoding for High Throughput Satellite Communication Systems: A Survey

Abstract

With the expanding demand for high data rates and extensive coverage, high throughput satellite (HTS) communication systems are emerging as a key technology for future communication generations. However, current frequency bands are increasingly congested. Until the maturity of communication systems to operate on higher bands, the solution is to exploit the already existing frequency bands more efficiently. In this context, precoding emerges as one of the prolific approaches to increasing spectral efficiency. This survey presents an overview and a classification of the recent precoding techniques for HTS communication systems from two main perspectives: 1) a problem formulation perspective and 2) a system design perspective. From a problem formulation point of view, precoding techniques are classified according to the precoding objective, group, and level. From a system design standpoint, precoding is categorized based on the system architecture, the precoding implementation, and the type of the provided service. Further, practical system impairments are discussed, and robust precoding techniques are presented. Finally, future trends in precoding for satellites are addressed to spur further research.

Replicating File Segments between Multi-Cloud Nodes in a Smart City: A Machine Learning Approach

“…Scientific applications typically involve high-throughput experiments, such as satellite surveys [ 8 ], supercomputer simulations [ 9 , 10 ] and sensor networks [ 11 ], which generate petabytes of scientific data, in addition to the massive data generated by internet every second. For example, the production of data within a radiology department in a hospital in an industrialised country such as the United States or Western Europe is on the order of 10 terabytes a year [ 12 ].…”